Staff Machine Learning Engineer, Recommendation & AI PlatformNewsBreak • United States
Dieses Stellenangebot ist nicht mehr verfügbar
Staff Machine Learning Engineer, Recommendation & AI Platform
NewsBreak
- United States
- United States
Über
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
CPRA Privacy Notice for California Candidates
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.