Senior Machine Learning Engineer (Cybersecurity Startup)
ScrumAID
San Francisco, CA · Posted November 1, 2026
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Where San Francisco, CA ranks
Where San Francisco, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for security jobs316 openings · of 20
- #1Best cities for technology jobs7,178 openings · of 100
- #1Best cities for financial services pay after cost of living$173k · of 33
- #1Best cities for entry-level jobs that want AI skills35% · of 100
- #1Best cities for entry-level jobs that want AI skills in the West Coast35% · of 54
- #1Cities with the most jobs that do not need a four-year degree in the West Coast902 jobs · of 47
Rankings about security jobs
- Best cities for security jobs #1 San Francisco (316 openings)
- Best cities for security pay after cost of living #1 San Mateo ($241k)
- Most requested AI skills in security jobs #1 AI tools in daily work (10.8%)
- Employers with the most security jobs #1 Amazon (318 roles)
Pay compared with the market
This listing does not state pay. Across 75 open senior machine learning engineer listings that state pay, the middle half runs $195,000 to $256,000 and the median is $217,500.
Listed pay is what employers advertise, not what people are paid.
Senior Machine Learning Engineer salaries by state · Check your own pay
How AI is used in this kind of work
Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
A fast-growing cybersecurity startup that detects hijacked user accounts as they happen is adding machine learning engineers to its small technical team. You would take responsibility for the core detection models, staying close to customers and the real attackers they face.
Your focus
Design and evolve the models that spot account takeover in real time, working alongside technical leadership
Carry models from experimentation into a live system and measure how they behave against real adversaries at scale
Architect solutions that can absorb a tenfold or greater jump in volume without a rewrite
Speak with customers about the threats they see and use that insight to hunt for new signals
Serve as an experienced technical influence who sets patterns and lifts quality on a lean team
Ideal background
Four or more years in ML engineering, with substantial experience putting models into live production
Solid quantitative base: statistics, anomaly detection, linear algebra, NLP and behavioral modeling
Good judgment on model choice, including a clear view of each approach’s weaknesses
Clean production-quality code and willingness to own a system beyond the modeling layer
Exposure to streaming data, feature stores, high-performance databases or distributed systems; fraud or quantitative finance is a plus
Self-directed, fast-moving and comfortable with high autonomy
Stack today: Node, TypeScript, React and Python
On-site in the San Francisco Bay Area. Applicants must already be authorized to work in the US; visa sponsorship and transfers are not available.