Description About the Role We are seeking an experienced Staff full stack engineer with a strong ability to execute hands-on technical work. The AI Lifecycle Team provides the UX backbone and visualization products that Machine Learning Engineers use to shepherd their ideas from data collection to model deployment in the AV. We enable MLEs at Cruise to Run and debug ML pipelines, Initiate data collection, Manage model training, Evaluate model performance, Deploy models to the AV. As a Staff Full Stack Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles. What You'll Do: Build UX experiences and agentic workflows to improve MLE workflows and productivity Build backend integrations to provide unified experience across ML lifecycle Raise the bar on system observability, debuggability, and operational excellence, and user experience. Own and drive the design and architecture across the ecosystem that meets security and compliance standards Establish consistent metrics to measure platform performance & health and create the roadmap for scale, reliability, low latency and speed of development and deployment Partner with cross functional teams to understand requirements to design, architect and build framework of UX and backend integrations. Partner with engineering teams to ensure seamless end-to-end flow and data quality Your Skills & Abilities (Required Qualifications) Experience building, deploying, and operating high-availability services Led large technical initiatives from idea to operationalization and continuous evolution of technical solution to enable new business capabilities and improve efficiencies Ability to identify broad challenges (technical, functional, business challenges) worth tackling, and parse them into initiatives within and across engineering teams Experience creating ground up enterprise architecture, systems architecture, integration architecture standards, frameworks, and practices Programming experience in Python, Java, Go Experience working with cloud infrastructure, automations, configuration management, artifact management and building advanced CI/CD solutions Experience building production-level frontend applications using React, Angular or similar frameworks Strong understanding of JavaScript/TypeScript and dynamic frontend fundamentals A passion for all things tech and has a drive to experiment with new technologies to see where they can benefit the business BS, MS, or PhD in Computer Science, Math, Physics, or equivalent experience Willingness to travel to Sunnyvale, CA as needed What Will Give You a Competitive Edge (preferred qualifications): Experience working with technologies including Web services, JSON, GraphQL, agentic workflows Experience building interactive tools that are core to people's daily work Experience with data science/visualization ML or experimental design knowledge Self-motivated, strong execution, impact-delivery oriented Excellent communication skills to resolve conflicts, build consensus, communicate risks and provide constructive feedback Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is $218,800-$335,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Benefits: Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Role Description Angi is seeking an exceptional Director, Artificial Intelligence & Machine Learning to be a driving force behind Angi's transformation. The role is to be a leader in our Artificial Intelligence team, tackling challenges such as integrating Angi’s search with LLM Providers like OpenAI GPT and Google Gemini. This is a leadership role, leading a team of dedicated machine learning engineers to both develop ML prototypes and then take them to production. In addition to being a leader, we’re also looking for someone who can dive into tech and get their hands dirty to solve some of Angi’s biggest technical challenges. - Leadership: Lead and grow a team of talented machine learning engineers, providing guidance, mentorship, and support to foster professional growth. For our most complex challenges, you will dive into the tech to work through solutioning alongside your team. - LLM Deployment and Optimization: Oversee the fine-tuning and deployment of LLMs, including Retrieval-Augmented Generation (RAG) in an agentic framework, with a focus on optimizing model performance and scalability to enhance user experience and drive business results. - Integration with 3rd Party AI APIs: Oversee the integration and management of AI tools and third-party solutions, including OpenAI GPT, Google Gemini, Meta AI, and Salesforce AI, to enhance user experience and business performance. - Engineering & Product Collaboration: Partner with engineering, product, and design teams to build robust, scalable real-time APIs, and work on the entire development process to seamlessly integrate AI solutions into our products. - Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems. Qualifications - You have a Master’s or Ph.D. in a computer science or quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields). - You have 10+ years of experience in machine learning & engineering, with a focus on large-scale distributed application architecture for deploying ML models to production. - You are an expert in machine learning deployment, API development, and real-time ML workloads. - You are proficient in Python and comfortable diving deep into technical challenges alongside your team. - You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. Requirements - We value diversity and welcome individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. - Our hiring process may utilize artificial intelligence (AI) tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making. Benefits - The salary band for this position ranges from $250,000-$325,000, commensurate with experience and performance. Compensation may vary based on factors such as cost of living. - This position will be eligible for a competitive year-end performance bonus & equity package. - Full medical, dental, vision package to fit your needs. - Flexible vacation policy; work hard and take time when you need it. - Pet discount plans & retirement plan with company match (401K). - The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world.

• Design and implement knowledge distillation pipelines (teacher–student, self-distillation, multi-teacher, etc.) • Distill large foundation models into smaller, faster, and cheaper models for inference • Run and analyze large-scale training experiments to evaluate quality, latency, and cost tradeoffs • Collaborate with research to translate new distillation ideas into production-ready code • Optimize training and inference performance (memory, throughput, latency) • Contribute to internal tooling, evaluation frameworks, and experiment tracking • (Optional) Contribute back to open-source models, tooling, or research

• Lead, coach, and develop a team of AI Engineers, including team leads and senior engineers • Establish clear goals, performance expectations, and development plans aligned with AI Engineering career frameworks • Foster a culture of technical excellence, accountability, inclusion, and continuous improvement • Support hiring, onboarding, and team capacity planning to meet delivery and growth objectives • Provide regular feedback, mentorship, and succession planning for key technical and leadership roles • Own delivery of multiple concurrent AI initiatives, ensuring solutions are scalable, reliable, and production-ready • Guide architecture and design decisions for AI systems, pipelines, and platforms in partnership with senior engineers • Ensure best practices across model development, deployment, monitoring, and AI lifecycle management • Drive operational excellence, including reliability, performance, cost efficiency, and incident management • Partner with product, data science, engineering, and business leaders to translate business needs into AI solutions • Contribute to AI Engineering strategy, roadmaps, and prioritization decisions • Communicate progress, risks, and trade-offs clearly to leadership and stakeholders