Motional is looking to solve the problem of developing the next generation of self-driving technology by building foundational infrastructure that empowers Machine Learning Engineers, including designing and operating high-performance, large-scale systems that process petabytes of vehicle data, run massive simulations, and train complex models.
Requirements
- Strong programming proficiency in Python.
- Experience building, deploying, and maintaining systems on cloud platforms (e.g., GCP, AWS, Azure).
- Demonstrated experience in the following areas: Building applications using Large Language Models (LLMs) or related generative AI technology.
- Developing and operating core ML infrastructure, MLOps systems, or data-intensive platforms.
- Deep, hands-on experience building AI agents using frameworks like LangChain, LlamaIndex, or similar
- Expertise with the end-to-end ML lifecycle, including data processing, distributed training, model evaluation, and model serving.
Responsibilities
- Define the Vision: Develop and execute a long-term technical roadmap for AI agents within the ML infrastructure. Identify key pain points in the ML lifecycle and translate them into opportunities for agent-based automation.
- Lead and Mentor: Recruit, hire, and manage a high-performing team of engineers. Foster a culture of innovation and technical excellence.
- Architect and Build: Lead the design and implementation of sophisticated AI agentic systems. This includes selecting the right LLMs, designing agentic control flows, developing tools for agents to use, and building robust evaluation frameworks.
- Hands-On Contribution: Serve as the team's senior-most technical contributor. You'll be expected to write code, conduct design reviews, and prototype complex solutions to guide the team through ambiguity.
- Cross-Functional Partnership: Collaborate closely with stakeholders from other infrastructure and ML teams to ensure the agents you build solve real-world problems and integrate seamlessly into our platform.
- Drive for Impact: Establish and own the key metrics that measure the success and impact of your team's work, tying it directly to developer productivity and infrastructure efficiency.
Other
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 8+ years of professional software development experience, including experience in a technical leadership role.
- 2+ years of experience in a formal people management role.
- Master's or PhD in Computer Science or a related field.
- A track record of successfully delivering complex, ambiguous, 0-to-1 projects with significant business impact.
