Research Engineer applying frontier machine-learning research—including reinforcement learning, RLHF and LLM post-training—to build and ship capabilities for mission-critical AI platforms.
Research Engineer
📜 Description
- Apply and extend algorithmic tools for large-scale unsupervised learning and perception.
- Develop and maintain tools for deep learning experiments, customer functionality, and system edge cases.
- Collaborate with software and autonomous vehicle engineers to deploy algorithms on vehicle platforms.
- Improve models and explore novel research directions.
🛠️ Requirements
- A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!
- Comfort operating in a fast-paced environment to deliver customer projects
- Introspection, thoughtfulness, and detail-orientation
- Experience working with neural networks, Tensorflow and/or PyTorch
- Fluency in Python and working knowledge of C/C++ programing
- A strong interest in unsupervised learning, computer vision, and/or the autonomous vehicle industry
- Master’s or Ph.D. in a related field and/or 5+ years of experience in a related field
✨ Benefits
- Competitive health insurance options
- 401K plan management
- Free lunch and fully-stocked kitchen in our South Bay office
- Additional perks: monthly wellness stipend
- Office set up allowance
- The opportunity to work on one of the most interesting, impactful problems of the decade
Full job description
You will:
You will work collaboratively to improve our models and iterate on novel research directions, sometimes in just days. We're looking for talented engineers who'd enjoy applying their skills to deeply complex and novel AI problems. Here, you will:
Apply and extend the Helm proprietary algorithmic toolkit for unsupervised learning and perception problems at scale
Carefully execute development and maintenance of tools used for deep learning experiments designed to provide new functionality for customers or address relevant corner cases in the system as a whole
Work closely with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms
You have:
A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!
Comfort operating in a fast-paced environment to deliver customer projects
Introspection, thoughtfulness, and detail-orientation
Experience working with neural networks, Tensorflow and/or PyTorch
Fluency in Python and working knowledge of C/C++ programing
A strong interest in unsupervised learning, computer vision, and/or the autonomous vehicle industry
Master’s or Ph.D. in a related field and/or 5+ years of experience in a related field
The pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission.
We offer:
Competitive health insurance options
401K plan management
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
Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai are considered the property of Helm.ai and are not subject to payment of agency fees.
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