Senior Machine Learning Engineer, Recommendation & AI Applications
NewsBreak
Mountain View, CA · $195k–$230k a year · Posted August 8, 2026
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Where Mountain View, CA ranks
Where Mountain View, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for AI-skill jobs45% · of 100
- #1Best cities for AI-skill jobs in the West Coast45% · of 71
- #1Best cities for mid-career professionals in the West Coast68% · of 71
- #1Best all-round cities for mid-career professionals in the West Coast85 / 100 · of 39
- #1Best all-round cities for AI careers in the West Coast96 / 100 · of 39
- #2Best cities for finance pay after cost of living$161k · of 35
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing pays about $212,500 a year. Across 80 open senior machine learning engineer listings that state pay, the middle half runs $197,500 to $229,000 and the median is $201,500. That is inside the middle half of those listings, 5% above the median.
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
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
About NewsBreak
Local life runs on local information. What happened down the street? Who can fix this? Where should we go tonight? NewsBreak started in 2015 to answer these questions, and today more than 40 million people a month rely on us to follow what’s going on in their zip code.
Three platforms with one vision: powering local life. Led by founder and CEO Jeff Zheng, NewsBreak is our local life and news platform; Nearby AI connects people with local businesses; and NDot AI helps publishers and creators grow and earn.
Building for the long term. A $115 million Series C made us a unicorn in 2021, and we keep investing in our people. We’re Great Place to Work® certified and named to Fast Company ’s Best Workplaces for Innovators (2025) and Fortune ’s Best Workplaces in the Bay Area™ (2026).
Everyone makes an impact. Whether you write code, shape products, tell our story, or run the business, we want people who own projects end to end, stay curious, and speak up. Join us.
Learn more at: NewsBreak, Nearby AI, NDot AI
About the Role
We are looking for a Senior Machine Learning Engineer to help evolve our large-scale recommendation systems and apply AI / LLM technologies to real-world production problems. You will work on core feed, retrieval, and ranking systems serving tens of millions of users, while also participating in AI-driven innovation projects that explore new ways to improve content discovery, personalization, and developer productivity. This role is ideal for engineers who enjoy strong individual ownership , hands-on development, and translating ideas into reliable systems.
What You’ll Work On
Large-Scale Recommendation Systems
Design, build, and iterate on high-throughput, low-latency recommendation systems powering NewsBreak’s core feeds.
Improve retrieval, ranking, and multi-objective optimization to balance engagement, retention, content quality, and business metrics.
Own systems from offline training → online inference → A/B experimentation → metric analysis .
Identify and resolve issues related to data quality, model drift, and system performance in production.
AI & LLM Applications
Apply LLMs and foundation models to recommendation-related problems such as content understanding, user intent modeling, and feature generation.
Prototype quickly, validate with experiments, and push successful ideas into production.
AI-Driven Development
Embrace AI-assisted development workflows , including LLM-powered coding, debugging, and analysis.
Apply AI across feature ideation, prototyping, and experiment analysis.
0 → 1 Innovation
Contribute to 0–1 AI-powered projects , helping take ideas from early exploration to MVP and production.
What We’re Looking For
Minimum Qualifications - 3 + years of industry experience building machine learning or recommendation systems in production. - Strong understanding of recommendation system fundamentals (ranking, embeddings, user/item modeling, experimentation). - Strong coding skills with Python / Java / Scala , and experience with PyTorch or TensorFlow . - Experience working with large-scale data and ML systems (e.g., Spark, distributed training, real-time inference). - Ability to own features end-to-end and deliver measurable business impact.
Bonus / Plus Qualifications - Production experience applying AI or LLMs to recommendation systems . - Experience contributing to 0 → 1 AI or ML-driven products . - Familiarity with AI-assisted development tools and workflows.
Benefits
We offer a competitive benefits package:
Health, dental, and vision care for you and your family (100% coverage for employee)
Top-tier 401(K) plan with company matching
Paid time off and paid holidays
FSA, HSA and commuter benefits programs
Team activity budget
The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process. Annual Base Pay Range $195,000 — $230,000 USD
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