greenhouse
Staff ML Engineer
Typeface
CAN
Senior · 10+ years experience
USD 190000-234000 / year
Discovered 1 weeks ago
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Key Skills for This Role
awscplusplusgcppython
Full Job Posting
What You Bring
- 10+ years of prior experience designing, building and scaling systems for training, testing, and running Machine Learning models at scale
- Master’s or PhD degree in Computer Science or a related field
- Experience with building and evolving ML Training and Inferencing systems at significant scale with a purpose of solving real-world problems.
- Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects
- Proficiency in Python, C/C++ (or equivalent)
- Ability to create self-contained, reusable, and testable modules and passionate about prototyping
- Prior experience with AzureML, GCP Vertex, AWS Sagemaker or similar platforms
- Bonus: Hands-on experience in deploying and tuning Generative AI models in cloud or on local system
- Bonus: Experience working at a high-growth startup or tech company
- Bonus: Publications and research experiences in ML venues and/or vision/language applications
Location
- This is a hybrid role based in our Palo Alto HQ. We collaborate in-office 3 days a week.
- Base Salary
- The range for this role is $190,000-$234,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.
Benefits
- Competitive compensation — including salary, equity, and 401(k)
- Full medical, dental, and vision insurance for you and your family
- HSA and FSA options to support your financial wellness
- Flexible time off — including parental leave
- Well-being programs — resources to support your mental and physical health
- Daily lunch & snacks
- Mentorship & impact — work closely with top AI leaders on products that ship
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