As a Staff Machine Learning Research Scientist you will work on some of the deepest problems in machine learning. You will publish papers, attend conferences, and file patents. But you will also ship code right into the products used every day. We call it applied research, and you will be one of the leaders, taking part in a thriving team of engineers whose backgrounds span computer science to particle physics. You will be constantly learning and mentoring, keeping Primer at the leading edge of the most important technology today.
Roles and Responsibilities - How You Will Make an Impact
- Track and understand the machine learning research landscape
- Help us make the strategic technology investments that ensure Primer's ability leadership in the space
- Design, lead, and review experimental work
- Collaborate and influence cross-functional teams to drive our technology roadmap
- Lead and mentor data scientists to help them grow
- Improve and promote best practices across the company and motivate others to follow your high standard
Relevant Skills and Experience
- Graduate degree in computer science or related field
- 5+ years in machine learning with a focus on machine learning research
- Demonstrated track record of publications and/or open source projects
- Hands-on experience with machine learning and NLP tools and libraries from Numpy to PyTorch
- Curiosity, enthusiasm, and a love for teaching and learning
This role will consider applicants out of San Francisco, CA or Washington, DC
The annual cash compensation range for this position is US$225,000 to US$250,000. Final compensation will be determined based on experience and skills and may vary from the range listed above.