As an early team member, you will get a chance to shape both the foundations of our product and team culture. We will measure your success by your ability to ship fast, learn quickly, and contribute to our culture of continuous improvement. Additionally, you will : - Study and transform data science prototypes- Research and implement appropriate ML algorithms and tools- Develop machine learning applications according to requirements- Perform statistical analysis and fine-tuning using test results- Train and retrain systems when necessary- Extend existing ML libraries and frameworks- Keep abreast of developments in the field
About You
How we Work
We love the tools we use. Here's our go-to's.- Linear for issue tracking- GitHub as source control- Sentry for error reporting- Slack for internal communication- Notion as a knowledge base- Figma for design collaboration
Our Commitment to Diversity and Inclusion
Quinn is proud to celebrate diversity and is committed to building an inclusive workplace regardless of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors.If you need any accommodations, please inform our team upon initial connection.Requirements
Our Ideal Candidate
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Machine Learning Engineer • San Francisco, CA, United States