Machine Learning Engineer
Salary & Market Data
Matched to BLS occupational data · California
Job Description
Job Description
Machine Learning Engineer – San Francisco, CA
What if you could apply quant-style trading principles to a $600B+ market? This company is replacing traditional ad agencies with AI systems that autonomously optimize ad spend and they’re hiring a Senior Machine Learning Engineer to scale it.
What You’ll Work On:
- Build LTV prediction models to forecast customer value
- Develop risk-aware systems to optimize budget allocation
- Create real-time execution systems across Meta, Google & TikTok APIs
- Own the full ML lifecycle from experimentation to production
- Design simulation & backtesting frameworks before deployment
- Implement observability tools to monitor performance and drift
What They’re Looking For:
- 3+ years building and deploying production ML / optimization systems
- Strong judgment on deep learning vs classical ML approaches
- Ability to implement research with a pragmatic, results-driven mindset
- Experience building scalable, reliable systems under real-world constraints
What’s On Offer:
- $200K - $250K base dependent on experience+ significant equity
- Direct impact on billions in ad spend
- High-growth, well-funded startup
- Daily meals, full benefits, unlimited PTO
Apply now for immediate consideration.
Important Notice
This listing was syndicated from Adzuna. We strive to keep information accurate, but do not assume responsibility for the content of this posting.
- Use the Apply button above to contact the employer directly
- Verify the employer and position details before applying
- Review our Terms of Service for listing policies