About this opportunity
Francisco Partners lists this Staff Machine Learning Engineer, Recommendation & AI Platform opportunity in mountain view, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Staff Machine Learning Engineer, Recommendation & AI Platform
Mountain View, California, United States
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
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.
Champion AI-native development practices , including LLM-assisted coding, experimentation, and analysis.
Help establish standards and shared tooling for AI-driven engineering.
Lead 0–1 AI initiatives , from ideation and technical validation to production rollout and scaling.
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
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.
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Worksite address
mountain view, CA, 94039, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.