Quiet Professionals LLC
AI Research Engineer
New York City, NY · Full-time
Sponsorship not specified$225k-$300kDetected 179 days ago
TypeScriptPythonNode.jsDockerMachine LearningPyTorchA/B TestingRoboticsResearch
About the role
- This is an exciting opportunity to apply your deep ML expertise to cutting-edge AI/robotics applications.
- 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.
Responsibilities
- Proven track record developing and deploying large-scale ML models
- We're seeking an AI Research Engineer to develop and optimize our AI models and training systems.
- 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 are open to a variety of seniority levels for this role and will build compensation packages that are commensurate with seniority and skill level.
Requirements
- Have a strong understanding of modern ML architectures and training techniques
- Have experience with model debugging, optimization, and performance tuning
Skills
- PyTorch (experience with PyTorch required)
- Python
- NodeJS/Typescript
- Docker
- All Full-Time Employees are eligible for Employee Stock Options.
- Apply novel machine learning techniques to wide range of robotics applications
- Develop efficient data and training strategies
- Implement model evaluation frameworks and metrics tracking
- Analyze model behavior and failure modes
- Implement interpretability tools and visualization frameworks
Compensation
- The salary range for this role is $225,000 to $300,000, depending on experience.
- Base salary is just one part of the overall compensation at Standard Bots.
Benefits
- We also offer a package of benefits including paid time off, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees.
- Have experience with RL (reinforcement learning)
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