INACTIVE
Full-Time
Machine Learning Performance Engineer
AI robotics
Robotics & Automation
Industrial & Manufacturing
AI & Machine Learning
$170000 - $225000
Mid
Oakland, CA, USA
Required Skills
Python
JavaScript
Tensorflow
Data Structures & Algorithms
Pytorch
SQL
NumPy
Computer Vision
Linux/Unix
HTML/CSS
Requirements
- Obsession with building products that deliver value to customers through solving hard ML and robotics challenges
- 3+ years of professional experience working with real-world software systems, AI products, or AI research
- Proficiency in Python and experience with tensor libraries (e.g. NumPy, PyTorch, TensorFlow)
- Working knowledge of Linux, SQL, and web (e.g. HTML, Javascript, etc.)
- A solid mathematical and statistical foundation with an understanding of how to apply ML concepts (e.g. training, evaluation, testing, fine-tuning, data sampling, etc.)
- Demonstrated strong problem-solving ability: analyzing real-world problems and formulating solutions, iterating and formulating, shipping, and making an impact on products for customers
- Clear communication and collaboration across teams: taking requests from customers, and PMs, and prioritizing work across SW and HW teams
Responsibilities
- Own all performance aspects of a robotic application
- Understand and iterate on all aspects of the Brain (models, algorithms, tooling, etc.) to resolve production failures and deliver human-level autonomy
- Analyze robot performance for different errors, understand their root causes, and test/deploy improvements to production
- Build tools to analyze a highly complex system of robots, models, components, and sensors to understand errors and enable more people across the org to make improvements to the system
- Take real-world challenges and engineer ML & robotics solutions by training, testing, tuning, iterating, and deploying new and existing models to solve production problems
- Collaborate closely with research, SW, HW, and infrastructure teams to deliver highly reliable robotic applications
- Work closely with the HW team on the design of a robotic application including the gripper, vision suite, and station layout
- Identify throughput bottlenecks in the application and work with the SW team to pinpoint and resolve them
- Take experimental models from the research team, test them to validate improvement, and deploy them to solve application problems
- Travel to the customer site as needed to resolve issues with robots in production (not expected for more than once per quarter, if needed at all)
Desired Qualifications
- Trained, deployed, and analyzed ML models or robotics applications in production
- Strong understanding of the state of the art in Computer Vision and Robotics literature
- Experience working with complex data infra and highly concurrent SW systems
Company Stage
Series C
Total Funding
$222M
Headquarters
Berkeley, California
Founded
2017
Growth & Insights
Headcount
6 month growth
↑ 4%1 year growth
↑ 10%2 year growth
↑ 77%Benefits
Health, dental, and vision coverage for you and your family
Unlimited time off Flexible work hours
Lunch and dinner each day
401(k) plan and match
INACTIVE