Staff AI Research Engineer

New York Cityfull timeOn Site

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Staff AI Research Engineer at StandardBots · LumiJobs

senior

$250k–$300k

H1B: no

StandardBots Staff AI Research Engineer at StandardBots developing and optimizing AI models and training systems for robotics applications. Leads model development, rapid experimentation, and collaborates on training infrastructure and deployment.

Responsibilities

We're seeking a Staff AI Research Engineer to develop and optimize our AI models and training systems. This is an exciting opportunity to apply your deep ML expertise to cutting-edge AI/robotics applications. You'll work closely with our engineering team to design, implement, and iterate on large-scale AI models while building efficient systems for rapid experimentation and deployment. We have a small team of AI engineers, so we’re looking for someone who is excited to work at a startup, and work across the stack to do what is needed to get a model that achieves a customer problem.
We're looking for an experienced engineer ready to make a tangible impact in the AI robotics revolution. This role requires a proven background working on ML planning within the autonomous vehicle space with experience using the latest techniques in diffusion and autoregressive models in a professional setting. If you're excited about building the latest advancements in AI and working in the robotics space, we’d love to hear from you.
Design and implement state of the art ML models and training pipelines:
Apply novel machine learning techniques to wide range of robotics applications
Develop efficient data and training strategies
Implement model evaluation frameworks and metrics tracking
Lead model development and iteration with focus on:
Rapid experimentation and prototyping of new model architectures
Performance optimization and model debugging
Transfer learning and fine-tuning strategies
Build robust evaluation and debugging systems to:
Analyze model behavior and failure modes

Qualification

Experience with reinforcement learningExperience with model debugging

Required

7+ years AI modeling experience or PhD with 3+ years in self-driving car industry
Proven track record developing and deploying large-scale ML models
Experience with diffusion and autoregressive models in professional setting
Familiarity with training inference and infra pipelines from camera input to trajectory output
Experience with reinforcement learning
Strong understanding of modern ML architectures and training techniques
Experience with model debugging, optimization, and performance tuning
Background in implementing ML research papers and adapting academic work