• Lead and grow a team of talented machine learning engineers, providing guidance, mentorship, and support to foster professional growth. • Oversee the fine-tuning and deployment of LLMs, including Retrieval-Augmented Generation (RAG) in an agentic framework. • Oversee the integration and management of AI tools and third-party solutions, including OpenAI GPT, Google Gemini, Meta AI, and Salesforce AI. • Partner with engineering, product, and design teams to build robust, scalable real-time APIs. • Foster innovation within the team, exploring new approaches and techniques to solve complex business problems.

• Leading the end-to-end design, development, and deployment of robust and scalable machine learning solutions, with a strong emphasis on NLP and RAG architectures. • Architecting and implementing RAG systems, combining large language models (LLMs) with robust retrieval mechanisms to improve the accuracy, factual grounding, and interpretability of generated content. • Applying advanced NLP techniques for tasks such as text classification, entity recognition, sentiment analysis, summarization, question answering, and information extraction. • Researching, evaluating, and integrating state-of-the-art NLP models and RAG frameworks (e.g., Transformers, BERT, GPT variants, Vector Databases, Semantic Search). • Mentoring junior team members on the team, sharing knowledge, and advising the best machine learning and software engineering practices and approaches. • Establishing and maintaining robust communication channels with other cross-functional teams to facilitate the integration of machine learning solutions into other Unifonic products. • Developing and optimizing highly confident machine learning algorithms and models and creating/exposing the service APIs using frameworks such as Flask, FastAPIs, or other relevant frameworks. • Staying up to date with the latest machine learning research papers, and AI trends (i.e. Generative AI). • Collaborating with the data engineering team and other teams to collect and analyze extensive datasets, extracting insights and patterns, in real-time, near-real-time, or batch processing mode. • Implementing proof of concepts and prototypes to demonstrate the potential of new AI use cases and innovations. • Building scalable, maintainable machine learning services, which should handle thousands of requests per second, and help to perform the required load tests to meet the SLA. • Reviewing the code of other team members and suggesting improvements to ensure the SOLID principles and clean architecture. • Assisting in the project documentation and demos.

• Design resource management systems provisioning and orchestrating compute across AWS, GCP, and Azure. • Handle dynamic scaling, state synchronization, and concurrent operations across hundreds of heterogeneous nodes. • Architect fault-tolerant infrastructure for distributed ML. • Build systems that simulate and handle real-world network conditions.

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. 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