Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior AI Research Engineer role.
Rezi rewrites your resume against Standard Bots's job description. Free.

Tailor your resume to this Senior AI Research Engineer role.
Rezi rewrites your resume against Standard Bots's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior AI Research Engineer posting at Standard Bots — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Senior AI Research Engineer posting at Standard Bots — free, in seconds.
About the Role
We are seeking a Senior AI Research Engineer to develop and optimize AI models and training systems for cutting-edge AI/robotics applications. This role involves designing, implementing, and iterating on large-scale AI models and building efficient systems for rapid experimentation and deployment. The ideal candidate will work across the stack to solve customer problems with AI models.
Responsibilities
- Design and implement state-of-the-art ML models and training pipelines.
- Apply novel machine learning techniques to a wide range of robotics applications.
- Develop efficient data and training strategies.
- Implement model evaluation frameworks and metrics tracking.
- Lead model development and iteration focusing on rapid experimentation, prototyping, performance optimization, model debugging, transfer learning, and fine-tuning.
- Build robust evaluation and debugging systems to analyze model behavior, implement interpretability tools, and track/improve model metrics.
- Collaborate with the engineering team to optimize training infrastructure and deployment.
Requirements
- 5+ years of AI modeling experience, specifically within the self-driving car industry (or PhD with 3+ years of AI modeling experience in the self-driving car industry).
- Proven track record developing and deploying large-scale ML models.
- Experience using the latest techniques in diffusion and autoregressive models in a professional setting.
- Familiarity with training inference and infra pipelines from camera input to trajectory output for self-driving or robotics.
- Experience with RL (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.
Skills
- PyTorch
- Python
- NodeJS/Typescript
- Docker
- ML planning
- Diffusion models
- Autoregressive models
- Reinforcement learning
- Modern ML architectures
- Model debugging
- Model optimization
- Performance tuning
- Implementing ML research papers
Experience Level
- Senior
Education Level
- PhD
Salary/Compensations
- $225,000 to $250,000
Benefits
- Employee Stock Options
- Paid time off
- Medical/dental/vision insurance
- Life insurance
- Disability insurance
- 401(k)
About the Company
- Standard Bots is revolutionizing real-world automation by making robotic systems accessible to everyone.
- Our AI-powered platform enables robots to tackle unprecedented challenges through an intuitive instruction interface, bringing the power of software automation to physical spaces.