Staff Machine Learning Engineer, Recommendation & AI Platform

Reposted 2 Days Ago
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Mountain View, CA
In-Office
230K-300K Annually
Expert/Leader
Information Technology • Software
The Role
The role involves leading technical directions for recommendation systems and AI initiatives, driving adoption of AI technologies, and mentoring others in system-level thinking.
Summary Generated by Built In

About NewsBreak

Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.

Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.

Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.

If you’re inspired to dream big, innovate fast, and make a difference, we’d love to hear from you! For more information, visit www.newsbreak.com/about

About the Role

We are seeking a Staff Machine Learning Engineer to provide technical leadership for our recommendation systems and AI initiatives.

In this role, you will define technical direction for large-scale personalization systems, lead complex projects across teams, and drive the adoption of AI / LLM technologies in both product capabilities and engineering workflows.

This role is ideal for engineers who enjoy system-level thinking, mentoring others, and turning ambiguous problems into scalable solutions.

What You’ll Work On

Technical Leadership & Architecture

  • Lead the design of next-generation recommendation system architectures at scale.
  • Drive best practices for model lifecycle management, experimentation, and system reliability.
  • Partner with product, infra, and data teams to align technical strategy with business goals.

Advanced Recommendation & AI Systems

  • Own complex initiatives across retrieval, ranking, re-ranking, and multi-objective optimization.
  • Lead the application of LLMs and foundation models in recommendation, content intelligence, and user modeling.
  • Evaluate emerging AI technologies and guide their adoption into production systems.

AI-Native Engineering

  • Champion AI-native development practices, including LLM-assisted coding, experimentation, and analysis.
  • Help establish standards and shared tooling for AI-driven engineering.

0 1 Innovation & Scaling

  • Lead 0–1 AI initiatives, from ideation and technical validation to production rollout and scaling.
  • Ensure successful prototypes evolve into maintainable, scalable platforms.

What We’re Looking For

Minimum Qualifications - 8+ years of industry experience building large-scale ML or recommendation systems. - Deep expertise in recommendation systems and applied machine learning in production environments. - Strong system design skills and the ability to influence architecture across teams. - Proven track record of technical leadership and cross-team collaboration.

Bonus / Plus Qualifications - Demonstrated success applying LLMs or foundation models to recommendation or content systems in production. - Experience leading 0 → 1 AI platform or product initiatives. - Passion for improving engineering velocity through AI-assisted development workflows.

Benefits

We offer a competitive benefits package:

  • Health, dental, and vision care for you and your family
  • Top-tier 401(K) plan with company matching
  • Paid time off and paid holidays
  • Paid parental leave
  • FSA 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
$230,000$300,000 USD

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Top Skills

AI
Llm
Machine Learning
Recommendation Systems
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The Company
Mountain View, , CA
346 Employees
Year Founded: 2015

What We Do

NewsBreak is the leading platform for local news and information, with more than 40 million users across America. By using new technology, NewsBreak provides community-focused news and information from over 10,000 sources in a timely and accessible way. NewsBreak is bridging the gap between new technology and traditional local media, offering an innovative digital solution that allows users to get the information they need to live safer, more vibrant, and connected lives.

Based in Mountain View, California, NewsBreak connects users with local information, national publishers, and targeted advertising from local businesses, with increased traffic and revenue that helps strengthen local communities.

We are always looking for great talents. Contact us via [email protected]

Our website:
https://www.newsbreak.com/about

Creator Program:
https://www.newsbreak.com/creators

Publishing Platform:
https://mp.newsbreakapp.com

Android App Download:
https://play.google.com/store/apps/details?id=com.particlenews.newsbreak&hl=en

iOS App Download:
https://itunes.apple.com/us/app/news-break-personal-local/id1132762804?mt=8

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