Description At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. The Data Scaling team owns the Data Flywheel for AV Foundation model development and successive fine tuning. It defines the composition of the data that is needed for the AV to learn behaviors at scale and deliver the driving behaviors necessary for the product success. The team owns the definition and processes for data quality across the data loop. The team directly works on and delivers ML models to the product that successively go up the Data Scaling curves, thereby directly impacting AV product performance through smart use of data. As part of this work, the team builds scalable systems and pipelines that attempt to 10x the data used, its diversity and impact on the models with successive major releases. The team uses existing very large datasets that GM has access to internally as well as defines the next generation of highest value datasets that GM continues to collect - both from real driving by GM and retail fleets, but also synthetic sim-based datasets. Why Join Us? - Scale up AV foundation model pre-training and fine-tuning with data to its maximum capacity - into billions+ of examples - across different sources, delivering the maximum value to the model through every additional example. - Work with cutting-edge technology and a collaborative, high-impact team of AI/ML engineers, data scientists and engineers who are passionate about leveraging advanced AI techniques to drive innovation for L2, L3 and L4 applications. - Contribute to the safety, reliability, and scalability of next-generation autonomous vehicles. As a Principal Technical Lead in the Embodied AI Data Foundations organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions maximally leveraging multiple sources of data including real and synthetic datasets, directly impacting autonomous driving performance. Towards this goal, you will lead the development of novel curation algorithms, pre-training, post-training and fine-tuning recipes for training AV models. Your role is pivotal in designing, architecting, and deploying data curation and training pipelines while simultaneously delivering advanced ML models that continue to go up scaling curves. These models will reliably and safely navigate diverse real-world scenarios and conditions. You'll lead critical technical initiatives, collaborate closely with cross-functional teams, mentor ML engineers, and significantly shape the future of onboard and offboard ML capabilities. What You'll Do: - Design and implement technologies that align our models to GM's mission. - Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, guidance, and selection to raise the performance of our models and provide a layer safety and reliability. - Collaborate with cross-functional teams to integrate & align distillation recipes of foundation models for onboard driving models. - Conduct research and stay updated on the latest advancements in AI frameworks and libraries. - Lead projects from ideation to deployment, documenting learnings and best practices along the way. - Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement. Your Skills & Abilities: - Bachelor's, Master's or PhD degree in Computer Science with a focus in Robotics and or Machine Learning, or a related field. - Proven experience working with large-scale Foundation Models and alignment methods to translate research into real-world impact. - Proven experience delivering applied research in the wild and maintaining best practices while working on tight deadlines. - Proficiency in frameworks such as PyTorch and languages such as Python. - Proven experience in building and scaling large model training pipelines that are performant and enable quick iteration by distributed teams. - Strong data processing skills using tools like Numpy, Pandas, and Apache Spark. - Excellent communication skills to effectively collaborate with diverse teams and stakeholders. - Experience deploying foundation models into production environments and understanding the end-to-end process. - Previous experience in Robotics or Autonomous Driving. Remote/Hybrid: This role is categorized as fully remote or hybrid. 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. Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. Relocation: This job may be eligible for relocation benefits. #LI-CX1 #GM-AV-1 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.

Hello, We’re Built InWhat We’re Up To Built In is the only recruitment and employer reputation platform that helps companies measure and shape their reputation in AI search — so they can be visible, trusted, and chosen by top talent. The HR tech space is filled with AI noise, but the real disruption is happening on the candidate side. By 2028, more candidates will use AI assistants like ChatGPT and Perplexity to discover and apply for jobs — fundamentally changing how talent and employers connect. Built In is the first to build for this new reality, giving companies the ability to understand and influence how they appear in AI-driven search. Our platform already reaches millions of tech professionals each month, and our 1,800+ customers — from startups to Fortune 100 companies — rely on us to tell authentic stories, showcase opportunities, and attract top talent. With our newest AI-powered tools, we’re evolving Built In into a data-rich, reputation-driven platform that’s shaping the future of hiring What You’ll Be a Part Of Built In is 14 years strong but operates with the energy and pace of a startup. We ship fast, learn constantly, and build with purpose. As an engineer here, you’ll have the chance to design and deliver products at the intersection of AI, reputation, and search — directly influencing how millions of professionals and thousands of companies connect. You’ll join a team that values curiosity, accountability, and being good humans first. Our engineering culture is rooted in collaboration, trust, and continuous improvement. If you want to build products that matter, shape how AI transforms the future of work, and make a visible impact inside a company that’s redefining its category — this is the opportunity for you We’re looking for an Applied AI EngineerWe're seeking an experienced Applied AI Engineer to design and develop intelligent, agentic systems that take action on behalf of users. You’ll work at the intersection of AI automation and user experience—building conversational UIs and AI-driven workflows that solve real-world problems with minimal user input. This is an ideal role for someone who’s passionate about Large Language Models (LLMs), intelligent agents, and the future of user interaction. You’ll have the opportunity to shape how AI behaves autonomously within product ecosystems. How you’ll contribute - Architect and build agentic workflows that can interpret intent, plan tasks, and execute operations on behalf of users. - Develop and iterate on chat-based user interfaces for rich, dynamic interactions. - Leverage LLM platforms (e.g., OpenAI, Anthropic) and orchestration tools like LangChain, Semantic Kernel, or custom frameworks. - Work cross-functionally with backend engineers, product managers, and designers to integrate conversational features into the platform. - Design robust systems for evaluating agent performance, user feedback loops, and improving reliability. - Stay current with cutting-edge developments in LLM tools, RAG pipelines, memory/state handling, and prompt engineering. What you need - 4+ years in a Data Science, Machine Learning, or Applied AI role - Deep experience with Python, LLM APIs, and libraries like transformers, langchain, OpenAI, etc. - Experience building chatbots or conversational UIs, and strong understanding of natural language processing - Solid grasp of SQL, APIs, and structured/semi-structured data - Familiarity with vector databases, tool use orchestration, and agent memory design - Excellent collaboration and communication skills, especially in cross-functional teams - Bonus: experience in reinforcement learning, retrieval-augmented generation (RAG), or AI monitoring systems Why Work With Us - Help shape intelligent systems that act autonomously in real-world environments - Be part of a product-led, engineering-driven culture - Remote-first team with collaborative, flexible work structure - Opportunities for leadership and technical ownership in AI development What We ValueWe’re revolutionizing tech recruitment. So we question everything, because the best answers sit just to the right of a question mark. That’s our heritage as a disruptive company — as a company whose future depends on our capacity to innovate with a sense of drive, purpose and urgency. If you join Built In, you will work from this set of values: - Be Inclusive, Always. We’re committed to a culture where all people are respected, have a say and can be their whole selves. We will uplift and advocate for one another. Always. - Be Unreasonably Passionate. Our passion is borderline obsessive, and we’re ok with that. No one ever built anything great on a “meh.” We work with outsized passion to fulfill our mission. - Be Humble. You don’t have all the answers. Luckily, you don’t have to. Don’t worry about being right. Be humble instead. - Stay Curious. Curiosity is a springboard to the future. It can transform the wisp of an idea into a breakthrough. We ask “what if.” We work with wonder. It’s how we innovate. - Lead with Solutions. Question everything. But offer solutions as you do. Raise issues. But propose a few answers. For every hole you poke, offer a way to patch it up. - Own the Result. We have no time for blame or shame. When you stumble, own it, learn from it + get back to business. - Do More. Do more than your job description. Take initiative. Take charge. No job is beneath you, and no job is too big. Be a leader and do more — do whatever it takes. Be Inclusive, AlwaysResearch shows that women and other marginalized groups tend to apply to roles only when they check every point on a job description. We encourage you to apply if you meet the majority of qualifications and this role is aligned with your career trajectory. Built In is an equal employment opportunity employer. Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law. Built In is guided by principles of diversity, equity and inclusion (DEI). We are committed to this work over the long-term, but here’s some of what’s in place today: - We have three thriving ERG groups: BuiltOut, United We Parent and Women United in Tech. - We are proud to be led by a woman CEO and founder, and that more than half of our managers and employees identify as women NOTE: BUILT IN NEVER CONTACTS JOB APPLICANTS VIA TEXT, MESSENGER OR OTHER SIMILAR APPLICATIONS. BE AWARE OF PHISHING AND SPOOFING SCAMS, BOTH VIA TEXT AND EMAIL. ONLY RESPOND TO EMAILS FROM BUILTIN.COM

• We’re hiring a Staff AI Engineer to lead some of Rula’s most important applied AI investments as we scale. • You’ll own technical direction for high-impact AI products, work across teams to turn big ideas into shipped systems, and help raise the bar for how we build, evaluate, and operate AI in production. • This role sits at the center of product innovation and engineering execution, with the chance to influence both what we build and how we build it. • It’s a strong fit for someone who loves operating in fast-moving environments, wants to drive outsized impact, and is excited to help define the future of AI at Rula.

• Collaborate with other AI engineers, product engineers, and infra teams to build, evaluate, and iterate on AI-powered systems • Bring a deep understanding of GenAI technologies and strong software engineering skills to bear on solving real-world problems through well-architected, testable, and observable solutions.