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<h3> Position Summary </h3> The Human Capital Offering Portfolio focuses on helping organizations manage and sustain their performance through their most important asset: their people. To stay in front, organizations need to have real-time access to Human Capital insights, experts and innovative technology solutions that are designed to not only drive but sustain and extend organizational performance and engagement. Supporting the products and capabilities of the Human Capital Offering Portfolio, our Engineering team is full of passionate, energetic, and multi-talented engineers who are excited about building the world’s greatest personalized and business friendly applications. Recently building AI capabilities in all of our existing assets and building new AI enabled assets. The AI Solution Architect in Deloitte’s Human Capital Consulting HC Forward/Asset Development will be tasked with leading the design, architecture, and implementation of innovative Data products and AI solutions aimed at enhancing the Human Capital Offering Portfolio. This role is pivotal in leveraging Data and AI technologies, requiring a deep understanding of Data Science, Statistics, Machine Learning, Generative AI, Large Language Models (LLMs), and Multimodal models. The AI Architect will provide real-time Human Capital insights and develop technology solutions that drive and sustain organizational performance and engagement. Additionally, the AI Solution Architect will oversee the architecture for AI solution teams, focusing on modifying existing products and creating new ones. The ideal candidate will be passionate about designing, building, implementing, and maintaining industrial AI/ML/Generative AI applications. Leadership skills are essential to implement the latest AI techniques and architectures and to continuously improve the AI/ML development, delivery, and operations process. The role involves adhering to best practices from Software Engineering, DevOps, MLOps, and LLMOps. The AI Solution Architect will also be responsible for translating project requirements into strategic architecture solutions, ensuring the integration of cloud-native tools from major hyperscalers and machine learning to create chatbots, optimizations, and cognitive services. This role requires a blend of technical expertise and the ability to bridge the gap between intricate business challenges and transformative AI solutions, making it a strategically crucial position. Recruiting for this role ends on 12/31/24. Work you’ll do: Strategic Alignment and Vision <ul> <li>Define and oversee the AI/ML/GenAI technical direction and architectural vision, ensuring alignment with strategic goals and digital transformation efforts</li> <li>Translate the vision of business leaders into realistic technical implementations, while identifying misaligned initiatives and impractical use cases</li> </ul> Architectural Design and Technology Selection <ul> <li>Key contributor in architecting a comprehensive AI Engineering framework that supports the deployment, evaluation, and management of ML models &amp; GenAI solutions</li> <li>Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools</li> <li>Understand and contribute to MLOps and LLMOps, focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models</li> </ul> Collaboration and Stakeholder Engagement <ul> <li>Collaborate with Enterprise, Application, Data &amp; DevOps Architects, Data scientists, Machine Learning &amp; GenAI Engineers, and Business teams to pilot use cases and discuss architectural design</li> <li>Gather inputs from multiple stakeholders to align technical implementation with existing and future requirements</li> <li>Develop and maintain contact with top decision makers, lead proposal development, and contribute to pricing strategies</li> </ul> Operational Excellence and Continuous Improvement <ul> <li>Be responsible for the successful execution of AI-powered applications using agile methodology</li> <li>Audit AI tools and practices across data, models and software engineering, focusing on continuous improvement and feedback mechanisms</li> <li>Contribute to standardizing CI/CD pipelines, user and service roles, and container creation, model consumption, testing, and deployment methodology based on business and security requirements</li> </ul> Risk Management and Ethical Considerations <ul> <li>Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations</li> <li>Address potential issues such as training data poisoning, AI model theft, and adversarial samples</li> </ul> Product Strategy and Business Understanding <ul> <li>Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products</li> <li>Break down client problems and bring an understanding of leading technology, analytics methods, tools, and operating model approaches</li> </ul> Research and Development <ul><li>Conduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on quality, scalability, performance, and cost</li></ul> Tool Development and Data Management <ul> <li>Build tools and capabilities that assist with data ingestion, feature engineering, data management, and organization</li> <li>Design, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure</li> </ul> Required Qualifications: <ul> <li>Bachelor's Degree in any of Computer Science, Engineering, Statistics, Data Science or a related field.</li> <li>8+ years of experience leading a technical team (both onshore and offshore).</li> <li>8+ years of experience gathering non-functional requirements, performing designed and validated application architecture frameworks, and executing functional and testing assignments</li> <li>2+ years of experience building GenAI environments</li> <li>8+ years of experience translating requirements into client ready design documents</li> <li>8+ years of experience with application architecture analysis, design, and delivery</li> <li>8+ years of full system development life cycle implementations</li> <li>Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve</li> <li>Limited immigration sponsorship may be available</li> </ul> Preferred Qualifications: <ul> <li>Advanced degrees such as Masters is preferred</li> <li>Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect</li> <li>8+ year of experience in implementing cloud-based AI/ML workloads on any of AWS, Microsoft and Azure</li> </ul> Information for applicants with a need for accommodation: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html</a> Possible Locations: Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boise, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Davenport, Dayton, Denver, Des Moines, Detroit, Fort Worth, Fresno, Grand Rapids, Harrisburg, Hartford, Houston, Indianapolis, Jacksonville, Jersey City, Kansas City, Las Vegas, Los Angeles, Louisville, McLean, Memphis, Miami, Midland, Minneapolis, Morristown, Nashville, New Orleans, New York, Philadelphia, Pleasanton, Pittsburgh, Portland, Princeton, Raleigh, Richmond, Rochester, Rosslyn, Sacramento, Salt Lake City, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tampa, Tempe, Tulsa, Washington DC The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $167,325 to $278,875. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. For more information about Human Capital, visit our landing page at: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html</a> #HC24 #HCaaS24 Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. <a href="https://www2.deloitte.com/us/en/pages/careers/topics/recruiting-tips.html" target="_blank">Check out recruiting tips from Deloitte recruiters.</a> Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. <a href="https://www2.deloitte.com/us/en/pages/careers/articles/life-at-deloitte-benefits-and-rewards.html" target="_blank">Learn more about what working at Deloitte can mean for you.</a> Our people and culture Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/deloitte-inclusion.html" target="_blank">Learn more about our inclusive culture.</a> Our purpose Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/purpose-at-deloitte-us.html" target="_blank">Learn more about Deloitte's purpose, commitments, and impact.</a> Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

Deloitte

AI Solution Architect

<h3> Position Summary </h3> The Human Capital Offering Portfolio focuses on helping organizations manage and sustain their performance through their most important asset: their people. To stay in front, organizations need to have real-time access to Human Capital insights, experts and innovative technology solutions that are designed to not only drive but sustain and extend organizational performance and engagement. Supporting the products and capabilities of the Human Capital Offering Portfolio, our Engineering team is full of passionate, energetic, and multi-talented engineers who are excited about building the world’s greatest personalized and business friendly applications. Recently building AI capabilities in all of our existing assets and building new AI enabled assets. Human Capital As-A-Service Today’s disruptive environment calls for a different mindset and a new approach to drive organizational performance and enhance human capital development now and in the future. Deloitte Human Capital as a Service brings that insight, through broad and deep capabilities to help our clients optimize people, process, and technology to thrive in an unpredictable world. Recruiting for this role ends on 12/31/2024. The AI Data Specialist in Deloitte’s Human Capital Consulting Asset Shop will lead the design, development, and deployment of innovative AI solutions to help clients leverage the power of artificial intelligence across their business processes. You will work closely with cross-functional teams including data scientists, engineers, and business consultants to design scalable AI architectures and integrate advanced machine learning models into business strategies. Your role is crucial in driving the adoption of AI technologies to transform client business models and deliver cutting-edge solutions. This role requires a deep understanding of Machine Learning, Statistics, Data Science, Generative AI, Large Language Models (LLMs), and Multimodal models. Additionally, the AI Data Specialist will help with recommendations for AI solution teams, focusing on modifying existing products and creating new ones. The ideal candidate will be passionate about designing, building, implementing, and maintaining industrial AI/ML/Generative AI applications. Leadership skills are essential to implement the latest AI techniques and to continuously improve the AI/ML development, delivery, and operations process. The role involves adhering to best practices from Software Engineering, DevOps, MLOps, and LLMOps. The AI Data Specialist will also help with translating project requirements into strategic solutions, ensuring the integration of cloud-native tools from major hyperscalers and machine learning to create chatbots, optimizations, and cognitive services. This role requires a blend of technical expertise and the ability to bridge the gap between intricate business challenges and transformative AI solutions. Work you’ll do: Strategic Alignment and Vision <ul> <li>Help define the AI/ML/GenAI technical direction and vision, ensuring alignment with strategic goals and digital transformation efforts.</li> <li>Translate the vision of business leaders into realistic technical implementations, while identifying misaligned initiatives and impractical use cases</li> </ul> Architectural Design <ul><li>Design end-to-end AI architectures, from data ingestion to model deployment, integrating with cloud and on-premises systems.</li></ul> Design and Technology Selection <ul> <li>Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools.</li> <li>Understand and contribute to MLOps and LLMOps, focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models.</li> </ul> Research and Development <ul> <li>Conduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on quality, scalability, performance, and cost.</li> <li>Lead the development of AI models (e.g., machine learning, natural language processing, computer vision) and implement scalable AI solutions.</li> </ul> Collaboration and Stakeholder Engagement <ul> <li>Collaborate with Enterprise, Application, Data &amp; DevOps teams, Data scientists, Machine Learning &amp; GenAI Engineers, and Business teams to pilot use cases and discuss best design.</li> <li>Gather inputs from multiple stakeholders to align technical implementation with existing and future requirements.</li> </ul> Consulting &amp; Advisory <ul><li>Serve as a technical advisor to leadership, providing insights on AI trends, potential business impacts, and implementation best practices.</li></ul> Operational Excellence and Continuous Improvement <ul> <li>Be responsible for the successful execution of AI-powered applications using agile methodology.</li> <li>Audit AI tools and practices across data, models and software engineering, focusing on continuous improvement and feedback mechanisms.</li> <li>Contribute to standardizing CI/CD pipelines, user and service roles, and container creation, model consumption, testing, and deployment methodology based on business and security requirements.</li> </ul> Risk Management and Ethical Considerations <ul> <li>Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations.</li> <li>Address potential issues such as training data poisoning, AI model theft, and adversarial samples.</li> </ul> Product Strategy and Business Understanding <ul> <li>Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.</li> <li>Break down client problems and bring an understanding of leading technology, analytics methods, tools, and operating model approaches.</li> </ul> Tool Development and Data Management <ul> <li>Build tools and capabilities that assist with data ingestion, feature engineering, data management, and organization.</li> <li>Design, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure.</li> </ul> Required Qualifications: <ul> <li>Bachelor's Degree in any of Computer Science, Statistics, Data Science or a related field.</li> <li>6+ years of related consulting experience leading a team (both onshore and offshore).</li> <li>6+ years of experience gathering non-functional requirements, performing designed and validated application architecture frameworks, and executing functional and testing assignments.</li> <li>5+ years of experience working in an AI environment.</li> <li>5+ years of experience translating requirements into client ready design documents.</li> <li>5+ years of experience with application architecture analysis, design, and delivery</li> <li>5+ years of full system development life cycle implementations</li> <li>Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.</li> <li>Limited immigration sponsorship may be available.</li> </ul> Preferred Qualifications: <ul> <li>Advanced degrees such as Masters or PhD are preferred</li> <li>Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect</li> <li>5 + years of experience in Data Science, Statistics, and Machine Learning</li> <li>5+ years of experience in Generative AI/LLMs, preferably experienced in delivering and productionizing</li> <li>5+ years of experience in machine learning model development, natural language processing, and data analysis; Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment</li> <li>5+ year of experience in implementing cloud-based AI/ML workloads on any of AWS, Microsoft and Azure.</li> </ul> Information for applicants with a need for accommodation: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html</a> Possible Locations: Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boise, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Davenport, Dayton, Denver, Des Moines, Detroit, Fort Worth, Fresno, Grand Rapids, Harrisburg, Hartford, Houston, Indianapolis, Jacksonville, Jersey City, Kansas City, Las Vegas, Los Angeles, Louisville, McLean, Memphis, Miami, Midland, Minneapolis, Morristown, Nashville, New Orleans, New York, Philadelphia, Pittsburgh, Portland, Princeton, Raleigh, Richmond, Rochester, Rosslyn, Sacramento, Salt Lake City, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tampa, Tempe, Tulsa, Washington DC The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $159,375 to $265,625 You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. For more information about Human Capital, visit our landing page at: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html</a> #HC25 #HCaaS25 Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. <a href="https://www2.deloitte.com/us/en/pages/careers/topics/recruiting-tips.html" target="_blank">Check out recruiting tips from Deloitte recruiters.</a> Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. <a href="https://www2.deloitte.com/us/en/pages/careers/articles/life-at-deloitte-benefits-and-rewards.html" target="_blank">Learn more about what working at Deloitte can mean for you.</a> Our people and culture Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/deloitte-inclusion.html" target="_blank">Learn more about our inclusive culture.</a> Our purpose Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/purpose-at-deloitte-us.html" target="_blank">Learn more about Deloitte's purpose, commitments, and impact.</a> Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

AI Data Specialist

About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet. Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences. Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our <a href="https://www.pinterestcareers.com/our-life/pinflex/" target="_blank">PinFlex</a> landing page to learn more. We are looking for inquisitive, well-rounded iOS engineers to join our Product engineering teams. Working closely with product managers, designers, and backend engineers, you’ll play an important role in enabling the newest technologies and experiences. You will build robust frameworks &amp; features. You will empower both developers and Pinners alike. You’ll have the opportunity to find creative solutions to thought-provoking problems. Even better, because we covet the kind of courageous thinking that’s required in order for big bets and smart risks to pay off, you’ll be invited to create and drive new initiatives, seeing them from inception through to technical design, implementation, and release. What you’ll do: <ul> <li>Build out Pinner-facing frontend features in iOS to power the future of inspiration on Pinterest</li> <li>Contribute to and lead each step of the product development process, from ideation to implementation to release; from rapidly prototyping, running A/B tests, to architecting and building solutions that can scale to support millions of users</li> <li>Partner with design, product, and backend teams to build end to end functionality</li> <li>Put on your Pinner hat to suggest new product ideas and features</li> <li>Employ automated testing to build features with a high degree of technical quality, taking responsibility for the components and features you develop</li> <li>Grow as an engineer by working with world-class peers on varied and high impact project</li> </ul> What we’re looking for: <ul> <li> Deep understanding of iOS development and best practices in Objective C and/or Swift, e.g. Xcode, app states, memory management, etc </li> <li>5+ years of industry iOS application development experience, building consumer or business facing products</li> <li>Experience in following best practices in writing reliable and maintainable code that may be used by many other engineers</li> <li>Ability to keep up-to-date with new technologies to understand what should be incorporated</li> <li>Strong collaboration and communication skills</li> </ul> This position is not eligible for relocation assistance. #LI-REMOTE #LI-KK6 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found <a href="https://www.pinterestcareers.com/pinterest-life/" target="_blank">here</a>. US based applicants only $145,700—$258,700 USD Our Commitment to Diversity: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete <a href="https://forms.gle/sS24D4WboEKUZMQK6" target="_blank">this form</a> for support.

Pinterest

Senior iOS Software Engineer

Space is in our DNA. Orbital Sidekick (OSK) has a mission to leverage the untapped power of hyperspectral imagery (HSI) to address global environmental, health, and safety needs while helping companies reach their sustainability goals. Orbital Sidekick is establishing a space-based infrastructure of HSI sensors and analytic capabilities to enable real-time monitoring, detection, and risk management. We’re looking for a Machine Learning Engineer who will build out and design machine learning infrastructure for a team of data &amp; remote sensing scientists, working collaboratively with the Analytics and Software teams to deliver data-driven products and solutions. If you are a smart-creative individual seeking to innovate and produce real, tangible value; take ownership of your role and position within a cutting edge tech company; and inform the future vision of an up-and-coming San Francisco start-up, you’ll fit right in. You will contribute to a cross-functional team that is responsible for the full algorithm development process, all the way from human annotation to integration with the platform. Your role as Machine Learning Engineer means that you will be responsible for owning infrastructure for experiment tracking, model training/inference, dataset version control, and imagery annotation campaign creation and data extraction. You will work collaboratively within the company to produce high-level engineering of both the data collection and information delivery platforms.<h3>As a Machine Learning Engineer your responsibilities will include:</h3> <ul> <li>Setting up Machine Learning infrastructure including, model repositories, experiment tracking, workflow orchestration (Prefect, Airflow, Dagster) </li> <li>Optimizing resources for both development and production in the cloudDeploying models for both batch and online inference</li> <li>Establish model monitoring, model registries, experiment tracking, CI/CD, and continuous training </li> <li>Role will initially be focused on setting up MLOps and then grow into researching, developing, debugging, and deploying models to production using our hyperspectral data</li> </ul><h3>Basic qualifications:</h3> <ul> <li>3+ years postgraduate experience as a MLEBS, MS, or PhD in Computer Science, Engineering, Physics, Mathematics or similar.</li> <li>Python, Pytorch, Weights and Biases, ML Flow, DVC, Ray, Dask, data science stack</li> <li>Experience with deploying and monitoring models in clouds environments (AWS)</li> <li>Ability to work independently as well as collaboratively in a startup environment</li> <li>Comfortable with rapid decision-making and taking ownership of system design</li> <li>Excellent written and oral communication skills</li> </ul><h3>Standout candidates will have:</h3> <ul> <li>Experience in machine learning for remote sensing data,, hyperspectral data and Geospatial data</li> <li>Familiarity with common remote sensing data types and tools, GeoTiffs, GDAL rasterio, xarray, ENVI</li> </ul><h3>Benefits of working at OSK:</h3> <ul> <li>We offer competitive compensation and equity packages</li> <li>Company-sponsored 401K, as well as medical, dental, and vision insurance with 100% premiums covered by OSK for employees and 50% for dependents</li> </ul> ITAR Requirements: U.S. Government space technologies export/ITAR regulations apply here, applicant must be a <a href="http://U.S.citizen" target="_blank">U.S.citizen</a> or a lawful permanent resident of the U.S., or eligible to obtain the required authorizations from the U.S. Department of State. Orbital Sidekick is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. We are an equal opportunity employer committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, age, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.

Orbital Sidekick

Machine Learning Engineer

About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet. Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences. Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our <a href="https://www.pinterestcareers.com/our-life/pinflex/" target="_blank">PinFlex</a> landing page to learn more. Principal Software Engineer, Ads Infrastructure Pinterest is one of the fastest growing online advertising platforms and our continued success depends on rapidly scaling our core revenue-generating systems. Specifically, we need 10X the scale of our campaign management, ad delivery, and machine learning platforms, while enabling developers inside Pinterest and external advertisers to build and iterate rapidly on new features. We are looking for a Principal Software Engineer to initiate, design, and build the next-gen version of the key infra components in our monetization ecosystem, such as modernizing our end-to-end ML platform serving over hundreds of use cases making billions of predictions per second, and redesigning our catalog ingestion and ads delivery systems to become one of the leading advertising platforms in the world. This role is exciting, because not only will you be able to lean on your deep infra knowledge to redesign systems at a very large scale, but also have the opportunity to work with very experienced engineers and cross-functional partners to solve problems that impact the topline and/or bottomline of our business. What you'll do: <ul> <li>Re-architect core catalog, ads indexing and serving infrastructure to achieve greater scalability, freshness, performance, and reliability, using data storage, streaming processing, and information retrieval technologies such as MySQL, TiDB, Flink, and HNSW.</li> <li>Modernize the ML ecosystem for the entire Pinterest Ads product, replacing a hodgepodge of out-of-date ML stack with a unified, modern, and privacy-first ML stack with Pytorch, Spark, Iceberg, and GPU based serving.</li> <li>Collaborate with cross-functional teams to define problems and drive solutions.</li> <li>Work with a strong team of engineers and provide technical guidance and mentorship.</li> </ul> What we're looking for: <ul> <li>10+ years of relevant industry experience with distributed systems, transactional datastores, and systems programming.</li> <li>Experience in building and owning large scale high performance infrastructure powering ads, recommendation, search, or other consumer facing applications.</li> <li>Experience solving end-user problems and envisioning solutions to improve their productivity.</li> <li>Proficiency in Java, C++, or Python.</li> </ul> Relocation Statement: <ul> <li>This position is not eligible for relocation assistance. Visit our <a href="https://www.pinterestcareers.com/pinflex/" target="_blank">PinFlex</a> page to learn more about our working model.</li> </ul> #LI-HYBRID #LI-AG8 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found <a href="https://www.pinterestcareers.com/pinterest-life/" target="_blank">here</a>. US based applicants only $227,299—$467,998 USD Our Commitment to Diversity: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify <a href="#">accessibility@pinterest.com</a> for support.

Principal Software Engineer, Ads Infrastructure

Space is in our DNA. Orbital Sidekick (OSK) has a mission to leverage the untapped power of hyperspectral imagery (HSI) to address global environmental, health, and safety needs while helping companies reach their sustainability goals. Orbital Sidekick is establishing a space-based infrastructure of HSI sensors and analytic capabilities to enable real-time monitoring, detection, and risk management. We’re looking for a Remote Sensing AI Researcher who will build out and design machine learning infrastructure for ateam of data &amp; remote sensing scientists, working collaboratively with the Analytics, and Software teams to deliver data-driven products and solutions. If you are a smart-creative individual seeking to innovate and produce real, tangible value; take ownership of your role and position within a cutting edge tech company; and inform the future vision of an up-and-coming San Francisco start-up, you’ll fit right in. You will contribute to a cross-functional team that is responsible for the full algorithm development process, all the way from human annotation to integration with the platform. Your role as Remote Sensing AI Researcher means that you will be responsible for developing new research that can lead to new products and publications. You will work collaboratively within the company to produce high-level engineering of both the data collection and information delivery platforms.<h3>As a Remote Sensing AI Researcher your responsibilities will include:</h3> <ul> <li>Conducting novel research applying AI/ML to OSK’s satellite hyperspectral imagery.</li> <li>Helping transition research to production, deploying models for both batch and online inference as well as embedded on the satellites.</li> <li>Produce analytical infrastructure for AI/ML pipeline development.</li> <li>Inform colleagues and mentor Individual Contributors about AI/ML opportunities, and tasks.</li> <li>Publish your research in geospatial and/or AI conferences, write blog posts to show off your work.</li> </ul><h3>Basic qualifications:</h3> <ul> <li>3+ years experience in ML/AIMS, or PhD in Computer Science, Engineering, Physics, Mathematics or similar.</li> <li>Python, Pytorch, ML Flow/ClearML, DVC, Ray, Dask, Python data science stack</li> <li>Comfortable training models in a cloud (AWS) environment as well as using best practices to track ML experiments.</li> <li>Ability to work independently as well as collaboratively in a startup environment</li> <li>Excellent written and oral communication skills. </li> <li>Familiarity with common remote sensing data types and tools, GeoTiffs, GDAL rasterio, xarray.</li> </ul><h3>Preferred Skills and Experience:</h3> <ul><li>Relevant publications applying AI/ML to remote sensing data at top conferences.</li></ul><h3>Benefits of Working at OSK:</h3> <ul> <li>We offer competitive compensation and equity packages.</li> <li>Company-sponsored 401K, as well as medical, dental, and vision insurance with 100% premiums covered by OSK for employees and 50% for dependents.</li> </ul>ITAR Requirements: U.S. Government space technologies export/ITAR regulations apply here, applicant must be a U.S. citizen or a lawful permanent resident of the U.S., or eligible to obtain the required authorizations from the U.S. Department of State. Orbital Sidekick is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. We are an equal opportunity employer committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, age, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.

Remote Sensing AI Researcher

Orbital Sidekick (OSK) is seeking a Senior Geospatial Software Engineer to join the software engineering team building SIGMA, our system for processing imagery and delivering results to customers. In this role you will design and code production data pipelines to calibrate, rectify, analyze and otherwise process hyperspectral imagery (HSI) from our GHOSt satellite constellation. Additionally, you will work closely with our payload &amp; analytics teams to bring research algorithms to the SIGMA platform. This is an implementation rather than a research or data science role. Space is in our DNA. Orbital Sidekick (OSK) has a mission to leverage the untapped power of hyperspectral imagery to address global environmental, health, and safety needs while helping companies reach their sustainability goals. Orbital Sidekick is establishing a space-based infrastructure of HSI sensors and analytic capabilities to enable real-time monitoring, detection, and risk management.<h3>What You'll Do</h3> <ul> <li>Implement image processing algorithms for an automated production environment</li> <li>Build tools to manage &amp; monitor the processing system and imagery catalog</li> <li>Build APIs to make imagery &amp; insights available to customers (both internal and external)</li> <li>Collaborate with the product team to determine feature priorities</li> <li>Collaborate with the satellite payload and analytics teams to implement new or improved image processing operations</li> <li>Break down &amp; plan features &amp; services for incremental delivery</li> </ul><h3>What You’ll Need To Succeed</h3> <ul> <li>5+ years of experience writing geospatial code in Python</li> <li>Extensive knowledge of GDAL, Rasterio, xarray, and other code libraries for handling raster data</li> <li>Extensive knowledge of cloud computing deployments (e.g., AWS) and Linux environments</li> <li>Experience with orchestration technologies (e.g., AWS Step Functions)</li> <li>Experience with serverless compute (e.g., AWS Fargate and Lambda)</li> <li>Experience writing code for a production environment</li> <li>Strong written and verbal communication skills </li> <li>Effective collaboration skills to work with a remote team</li> </ul><h3>Experience That Will Give You an Advantage</h3> <ul> <li>Knowledge of imaging principles</li> <li>Knowledge of remote sensing analytics, earth sciences and/or geography</li> <li>Experience with machine learning</li> <li>Experience with OGC APIs, STAC, or similar open source geospatial technologies</li> <li>Experience with US government imagery requirements (e.g., NITF image format)</li> <li>Experience with AWS CDK or CloudFormation</li> </ul>Orbital Sidekick is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. We are an equal opportunity employer committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, age, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.

Senior Geospatial Software Engineer

The Orbital Sidekick (OSK) software engineering team is seeking a Senior Software Engineer to help us build SIGMA, our system for processing satellite imagery and delivering results to customers. In this role you will design and code services that process &amp; catalog imagery, detect anomalies, store metrics, create reports, and deliver insights to customers. The software engineering team needs a generalist back end software engineer who is able to dive deep throughout our system, understands cloud architecture and is comfortable justifying technical decisions to the broader team. Space is in our DNA. OSK has a mission to leverage the untapped power of hyperspectral imagery (HSI) to address global environmental, health, and safety needs while helping companies reach their sustainability goals. OSK owns and operates a constellation of satellites with hyperspectral sensors. With those sensors, OSK can "see" methane plumes, liquid hydrocarbon leaks, vegetation health, and a lot more.<h3>What You'll Do</h3> <ul> <li>Build APIs and services for creating and delivering insights</li> <li>Implement image &amp; auxiliary data catalog services</li> <li>Collaborate with the product team to determine feature priorities</li> <li>Collaborate with the satellite payload and analytics teams to implement new or improved image processing operations</li> <li>Break down &amp; plan features &amp; services for incremental delivery</li> </ul><h3>What You'll Need to Succeed</h3> <ul> <li>5+ years of experience writing production code for cloud services</li> <li>Extensive knowledge of cloud computing, particularly AWS serverless technologies</li> <li>Experience with API technologies (e.g., REST, OpenAPI, gRPC, GraphQL)</li> <li>Experience with orchestration technologies (e.g., AWS Step Functions)</li> <li>Experience with software architecture decision-making on a team</li> <li>Strong written and verbal communication skills </li> <li>Effective collaboration skills to work with a remote team</li> <li>Experience with Python programming or an aptitude for adopting programming languages </li> </ul><h3>Experience That Will Give You an Advantage</h3> <ul> <li>Knowledge of imaging principles</li> <li>Knowledge of remote sensing analytics, earth sciences and/or geography</li> <li>Knowledge of satellite mission operations</li> <li>Experience with machine learning</li> <li>Experience with AWS CDK or CloudFormation</li> <li>Experience implementing authentication and authorization systems</li> </ul>Orbital Sidekick is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. We are an equal opportunity employer committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, age, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.

8 Software Engineering Jobs in Mountain View, CA, USA