The QA Release Engineer is responsible for maintaining the ML model merge queue and releasing new models to vehicles, improving developer efficiency and tracking issues.
Location: Foster City, CA
40 hour work week but must be open to flexible hours (i.e. before or after typical business hours)
Job Description:our team is looking for a release engineer to fill the critical role of maintaining a ML model merge queue and releasing new ML models on vehicle. In this role, the release engineer will work on processes to improve developer efficiency and reduce delays in branch updates.
Responsibilities:
- Own a critical piece of maintaining model merge queue and releasing ML model to vehicle
- Train and release ML models weekly combining all the developer updates
- Ensure the development branch is up to date with changes from master and aid in conflict resolution
- Create and implement processes to track model merge queue as well as bisect issues to specific PRs
Requirements
Qualifications:
- Bachelor's Degree in Computer Science and/or Computer Engineering with 4+ years of experience
- Background in C++ and/or python
- Experience with git and conflict resolution
- Excellent communication skills
Bonus Qualifications:
Experience with any of the following:
- Executing large scale MQs and bisecting to PRs
- Machine learning and kicking off training and understanding results
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Training & Development
- Retirement Plan (401k, IRA)
- Free breakfast and lunch
Top Skills
C++
Git
Python
Sigma Software Vertex San Jose, California, USA Office
San Jose 75E Santa Clara St, San Jose, California, United States, 95113
Similar Jobs
Artificial Intelligence • Financial Services
Lead the release process and improve code quality through QA and testing. Collaborate on full stack applications using TypeScript and React while mentoring junior developers.
Top Skills:
AWSGCPPostgresReactTerraformTypescript
Big Data • Fintech • Information Technology • Insurance • Financial Services
As a Private Wealth Consultant, you will support financial advisors in designing complex wealth strategies and driving sales growth for high-net-worth clients.
Top Skills:
Finra Series 63Finra Series 7
Healthtech • Information Technology • Mobile • Productivity • Software • Analytics • Telehealth
Provide technical support for healthcare professionals via phone and email, manage support tickets, and collaborate with teams to improve user experience.
Top Skills:
CRMZendesk
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
