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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 Backend engineers to join our Core, Monetization, and Tech Foundations engineering teams. Working closely with product managers, designers, data scientists, and backend engineers, you’ll play an important role in enabling the newest technologies and experiences as we scale and evolve. You will build robust frameworks &amp; features. You will accelerate velocity for one of the world’s largest public cloud workloads. 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 the backend for Pinner-facing features 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 projects</li> <li>Design, develop, and operate large scale, distributed systems and networks</li> <li>Work with Engineering customers to understand new requirements and address them in a scalable and efficient manner</li> <li>Actively work to improve the developer process and experience in all phases from coding to operation</li> </ul> What we’re looking for: <ul> <li>4+ years of industry backend development experience, building consumer or business facing products</li> <li>Proficiency in common backend tech stacks for RESTful API, online service, storage, caching and data processing</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> <li>Experience building &amp; operating large scale distributed systems and/or networks. Bonus points if you enjoy deploying and operating large scale workloads on a public cloud footprint</li> <li>Experience in Python, Java, C++, or Go or another language and a willingness to learn</li> </ul> This position is not eligible for relocation assistance. #LI-SA1 #LI-REMOTE 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 $125,630—$258,470 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, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. 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.

Pinterest

Senior Backend Software 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. With more than 450 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else. What you’ll do: <ul> <li>Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest</li> <li>Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas</li> <li>Use data driven methods and leverage the unique properties of our data to improve candidates retrieval</li> <li>Work in a high-impact environment with quick experimentation and product launches</li> <li>Keeping up with industry trends in recommendation systems </li> </ul> What we’re looking for: <ul> <li>2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)</li> <li>End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)</li> <li> Nice to have: <ul> <li>M.S. or PhD in Machine Learning or related areas</li> <li>Publications at top ML conferences</li> <li>Expertise in scalable realtime systems that process stream data</li> <li>Passion for applied ML and the Pinterest product</li> </ul> </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-SA1 #LI-REMOTE 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 $122,887—$253,692 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.

Machine Learning Engineer, Core Engineering

Outreach is the first and only AI Sales Execution Platform built for intelligent revenue workflows. Built on the world’s largest foundation of customer interactions and go-to-market team data, Outreach’s leading revenue AI technology helps go-to-market professionals and their companies win by intelligently accelerating decision making and elevating sellers to do their best work. Our powerful platform gives revenue teams the tools they need to design, measure, and improve a revenue strategy for every stage of the customer journey, improving efficiency and effectiveness across the entire revenue cycle. Over 6,000 customers, including Zoom, McKesson, Snowflake, SAP, and Okta use Outreach to power workflows, put customers at the center of their business, improve revenue results, and win in the market. Outreach is a privately held company based in Seattle, Washington, with offices worldwide. To learn more, please visit <a href="https://www.outreach.io/" target="_blank">www.outreach.io</a>. About the Team On the Kaia Services Team (Voice Intelligence Services), our goal is to build the most intelligent assistant for the sales engagement domain. You’ll work closely with customers, scientists and product managers to shape the future of Kaia. You’ll own the features from design to the implementation and will have plenty of opportunities to interact with customers directly. You’ll be exposed to the cutting edge technologies, in ML as well as in cloud driven development to help Kaia reach to the next level, both in conversational understanding and system scalability. We have plenty of tough challenges which require creative minds like yours to help us solve! The Role Do you enjoy working in a fast paced environment, using the latest technologies to solve some of the most impactful problems in the sales engagement domain? If so, this opportunity is for you. The Kaia services team is hiring software engineers to increase the momentum in this space and enhance <a href="https://www.outreach.io/product/kaia" target="_blank">Outreach Kaia</a> (Knowledge AI Assistant) to further assist our customers <a href="https://www.geekwire.com/2021/outreach-lands-200-million-pushing-valuation-sales-software-startup-4-4-billion/" target="_blank">through continued growth</a>. If you are great at building highly scalable distributed systems, and interested or have experience in integrating Conversational AI, Speech Recognition, Machine Learning and NLP to deliver high quality products to customers, we’d love to talk to you. <h3>Your Daily Adventures Will Include</h3> <ul> <li>Working with voice/video streams and real-time transcriptions to extract intelligence and actionable insights</li> <li>Analyzing the relevance of extracted intelligence, performance of the extraction algorithms, and evaluating the performance of third party voice processing APIs</li> <li>Finding ways to engineer high availability into a system that has lots of moving parts, not all of which are directly under your control</li> <li>Working with stakeholders to make sure our customers have the tools they need to be successful on our platform</li> <li>Finding quick ways to prototype and test possible solutions to large problems</li> <li>Looking up and down the stack for the best return on investment for any given pain point</li> <li>Working on one of the most visible parts of Outreach’s product - to both our customers and the rest of our organization</li> </ul><h3>Our Vision of You</h3> <ul> <li>8+ years of experience shipping production quality code in Java, Go or C++, along with strong software engineering skills</li> <li>Proven technical and project leadership skills. Able to guide and mentor others.</li> <li>Experience with cloud-based service applications and continuous-deployment projects</li> <li>Willing to go above and beyond to help other team members</li> <li>Ability to prioritize details along a path of iterative delivery</li> <li>Ability to quickly ramp up new technologies and start contributing</li> </ul>#LI-JM1 Why You’ll Love It Here • Flexible time off • 401k to help you save for the future • Generous medical, dental, and vision coverage for full-time employees and their dependents • A parental leave program that includes options for a paid night nurse, and a gradual return to work • Infertility/ assisted reproductive services benefit • Employee referral bonuses to encourage the addition of great new people to the team • Snacks and beverages in the Office, along with fun events to celebrate • Diversity and inclusion programs that promote employee resource groups like Outreach Women's Network, Latinx community, Outreach Black Connection, AAPI community, Pride/LGBTQIA+, Gender+, Disability Community, and Veterans/Military Outreach is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Our success is reliant on building teams that include people from different backgrounds and experiences who can elevate assumptions and ideas with fresh perspectives. We're dedicated to hiring the whole human, not just a resume. To that end, we look for a diverse pool of applicants-including those from historically marginalized groups. We would like to invite you to apply even if you don't think you meet all of the requirements listed below. We don't want a few lines in a job description to get between us and the opportunity to meet you.

Outreach

Senior Staff Software Engineer, Voice Intelligence Services (Kaia)

Taking care of people is at the heart of everything we do, and we start by taking care of you, our valued colleague. A career at Sedgwick means experiencing our culture of caring. It means having flexibility and time for all the things that are important to you. It’s an opportunity to do something meaningful, each and every day. It’s having support for your mental, physical, financial and professional needs. It means sharpening your skills and growing your career. And it means working in an environment that celebrates diversity and is fair and inclusive. A career at Sedgwick is where passion meets purpose to make a positive impact on the world through the people and organizations we serve. If you are someone who is driven to make a difference, who enjoys a challenge and above all, if you’re someone who cares, there’s a place for you here. Join us and contribute to Sedgwick being a great place to work. Great Place to Work® Most Loved Workplace® Forbes Best-in-State EmployerMarine Cargo Surveyor (Remote w/travel) This role is open to be based remote out of Chicago, IL, Seattle, WA, Charleston, SC, Los Angeles or San Francisco, CA, Detroit, MI and various locations in Florida and Ohio. Travel required. PRIMARY PURPOSE: To inspect cargo damaged in transit and determine the nature, cause, and extent of damages; to review documents to determine when the cargo was damaged; and to provide written reports to underwriters and other parties with his/her qualified opinion as to the cause of loss. ESSENTIAL FUNCTIONS and RESPONSIBILITIES <ul> <li>Oversees loading and unloading of cargo from ships and other forms of transit to document damages as they are loaded and/or unloaded.</li> <li>Inspects damaged ships to determine cause of the damage and amount of damage resulting from collisions or motor failures.</li> </ul> ADDITIONAL FUNCTIONS and RESPONSIBILITIES <ul> <li>Performs other duties as assigned.</li> <li>Supports the organization's quality program(s).</li> <li>Travels as required.</li> </ul> QUALIFICATIONS Education &amp; Licensing Bachelor's degree from an accredited college or university preferred. Experience Five (5) years of related experience or equivalent combination of education and experience required. Skills &amp; Knowledge <ul> <li>Good oral and written communication skills</li> <li>PC literate, including Microsoft Office products</li> <li>Good customer service skills</li> <li>Good organizational skills</li> <li>Ability to work independently and in a team environment</li> <li>Ability to meet or exceed Performance Competencies</li> </ul> WORK ENVIRONMENT When applicable and appropriate, consideration will be given to reasonable accommodations. Mental: Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines Physical: <ul> <li>Must be able to stand and/or walk for long periods of time.</li> <li>Must be able to kneel, squat or bend.</li> <li>Must be able to work outdoors in hot and/or cold weather conditions.</li> <li>Have the ability to: climb, crawl, stoop, kneel, and reaching/working overhead.</li> <li>Be able to push/pull up to 100 pounds.</li> <li>Be able to drive up to 4 hours per day.</li> <li>Must have continual use of manual dexterity</li> </ul> Auditory/Visual: Hearing, vision and talking NOTE: Credit security clearance, confirmed via a background credit check, is required for this position. As required by law, Sedgwick provides a reasonable range of compensation for roles that may be hired in jurisdictions requiring pay transparency in job postings. Actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, and cost of specific location. For the jurisdiction noted in this job posting only, the range of starting pay for this role is $80,000.00 – $110,000.00 USD annual salary. Bonus eligible. A comprehensive benefits package is offered including but not limited to, medical, dental, vision, 401k and matching, PTO, disability and life insurance, employee assistance, flexible spending or health savings account, and other additional voluntary benefits. The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time. #LI-REMOTE #LI-SC2 Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.<h2>If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles. </h2>

Sedgwick Claims Management Services

Marine Cargo Surveyor (Remote w/travel)

<h2>About the team</h2>AI products at Zillow help millions of people find the best home for them with less stress and more visibility. Zillow scientists develop a variety of ML models (natural language understanding, computer vision, recommendation systems) that enables our customers to find and move to their next home. Join the team that develops end to end platform powering AI research and development at Zillow! As a member of the AI Platform team, you will help define Zillow’s approach to Artificial Intelligence research &amp; Products, powering products like home value estimation, economic research, personalized recommendations and semantic search etc. You will work on building powerful ML infrastructure enabling containerized services, performing distributed computations at scale, empowering continuous research &amp; deployments of ML models, evaluations and monitoring. Learn more about what we are doing at <a href="https://www.zillow.com/data-science" target="_blank">https://www.zillow.com/data-science</a> and <a href="https://www.zillow.com/engineering" target="_blank">https://www.zillow.com/engineering</a><h2>About the role</h2>We are looking for a Principal Software Development Engineer to help us build the next generation of AI infrastructure powering multiple Zillow products. The position gives you opportunities to:<ul> <li>Craft and build scalable infrastructure for orchestrating end to end machine learning lifecycle from experimentation phase to production jobs &amp; services</li> <li>Build the roadmap and lead the team towards success in building the next-gen AI infrastructure, which supports AI workload at 10x scale plus governance &amp; compliance requirements</li> <li>Work with a variety of technologies such as Kubernetes, KNative, Argo, Databricks, Kafka, Tensorflow etc.</li> <li>Collaborate with Applied Scientists, Machine Learning Engineers and cross functional teams in crafting and implementing your technical vision</li> <li>Work closely with our data infrastructure team to build the data systems and stores that power ML models</li> <li>Collaborate with various teams (Product, Engineering) to scope and deliver platform solutions </li> </ul>This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.In California, Colorado, Connecticut, Hawaii, Nevada, New York, Washington state, and Washington DC the standard base pay range for this role is $186,300.00 - $297,700.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Hawaii, Nevada, New York, Washington state, and Washington DC and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.<h2>Who you are</h2>Basic Qualifications:<ul> <li>A degree (BS+) in Computer Science or a related field. Masters in Computer Science preferred</li> <li>5+ years of experience with Machine Learning, data and/or backend web services &amp; infrastructure</li> <li>2+ years of experience with platform solutions for large scale AI applications</li> <li>Experience working with cloud services (AWS/Azure/GCP)</li> <li>Excellent interpersonal skills and passionate about collaborating across organizational boundaries</li> </ul>Nice to haves:<ul> <li>Have vision and passion to make Machine Learning development easier for ML Practitioners </li> <li>Experience developing sophisticated software systems scaling to millions of users with production quality deployment, monitoring and reliability</li> <li>Experience with Databricks (for data and/or ML use cases)</li> <li>Experience with building low latency, high reliability Web Services (K8s, KNative services)</li> <li>Experience with Machine Learning Frameworks (e.g. PyTorch, Keras, Tensorflow, XGBoost)</li> <li>Experience with modern data technologies (Spark, Hive, Kafka, Beam, Airflow)</li> </ul> Transferable Skills Here at Zillow - we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences.<h2>Get to know us</h2>Zillow is reimagining real estate to make home a reality for more and more people.As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do helps people get home and no matter what job you're in, you will play a critical role in making home a reality for more and more people.Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and <a href="https://www.zillow.com/careers/benefits/" target="_blank">world-class benefits</a>. These benefits include comprehensive medical, dental, vision, life, and disability coverages as well as parental leave, family benefits, retirement contributions, and paid time off. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on <a href="https://www.glassdoor.com/Overview/Working-at-Zillow-EI_IE40802.11,17.htm" target="_blank">Glassdoor</a> and recent recognition from multiple organizations, including: the 100 Best Companies to Work For, Glassdoor Employees’ Choice Award, Bloomberg Gender-Equality Index, Human Rights Campaign (HRC) Corporate Equity Index, and TIME <a href="http://time.com/100companies" target="_blank">100 Most Influential Companies</a> list.Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.

Zillow

Principal Software Development Engineer - AI Platform

<h3> Position Summary </h3> Position Summary As a Sr. GenAI Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive GenAI &amp; engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. Recruiting for this role ends on 4.1.25 Work you’ll do <ul> <li> Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.</li> <li> Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, contributing to low-level architecture and component design, development, unit testing, integrations, and support.</li> <li> Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/GenAI where possible/appropriate. Create technical specifications, and write high-quality, supportable, scalable code and review code of other engineers, mentoring them, to ensure all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams.</li> <li> Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.</li> <li> Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.</li> <li> Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.</li> <li> Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including AI/ML/GenAI, Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate strong understanding of the full lifecycle product development, focusing on continuous improvement and learning.</li> <li> Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.</li> <li> Effective Communication and Influence: Capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives.</li> <li> Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.</li> </ul> The successful candidate will have and/or be able to: The ideal candidate will be a dependable team player and mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. <ul> <li>Understanding and experience in managing big data of various forms to generate insights and create intelligence.</li> <li>Understanding of methodologies &amp; tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly.</li> <li>Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.</li> </ul> The Team US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Qualifications Required: <ul> <li>Bachelor's degree in computer science, software engineering, or related field.</li> <li>6+ years of engineering experience focused in AI/ML</li> <li>2+ years of recent experience in GenAI utilizing technologies such as: OpenAI, Claude, Gemini, LangChain, Agents, Vector databases and approaches like Prompt Engineering, fine-tuning, etc.</li> <li>Limited immigration sponsorship may be available</li> </ul> Preferred: <ul> <li>8+ years of engineering experience focused in AI/ML</li> <li>Prior experience in Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP.</li> <li>Prior experience with Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL.</li> <li>Prior experience with experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.</li> <li>Prior experience and familiarity with XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube.</li> <li>Advanced degree (e.g., MS) in computer science, software engineering, or related field.</li> </ul> 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 $102,500 to $ 210,600. 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. Information for applicants with a need for accommodation: Hyperlink: <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> EA_ITS_ExpHire 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 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. 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.

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