Summary
The job is for a Research Engineer at Helm.ai, working on AI software for autonomous driving and robotics. The position requires 5+ years of experience in a related field, proficiency in Python, and expertise with deep learning frameworks like TensorFlow/PyTorch or Jax.
Requirements
- 5+ years of experience in a directly related field
- Experience with tensorflow/pytorch, Jax, or related deep learning frameworks
- Proficiency in Python
Responsibilities
- Collaborate with research engineers to build infrastructure for research operations and automate the training and optimization of ML models for real-time inference in computer vision applications
- Write frameworks with flexible and modular components to quickly prototype trainings and implement new cutting-edge research ideas
- Build robust and fault-tolerant ML pipelines for running inference on large image and video datasets
- Leverage knowledge of deep learning frameworks to optimize trainings in terms of GPU utilization, memory, speed, and accuracy
- Design and implement APIs to automate the training and validation of a wide range of ML models for specialized use cases
Preferred Qualifications
- Master or Ph.D. in Math, Computer Science or a related field
- Experience in learning and implementing techniques from research papers
- Computer vision experience
Benefits
- Competitive health insurance options
- 401K plan management
- Remote-friendly and flexible team culture
- Free lunch and fully-stocked kitchen in our South Bay office
- Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
- The opportunity to work on one of the most interesting, impactful problems of the decade