Principal Machine Learning Engineer

As Principal Machine Learning Engineer, you'll bridge hands-on MLOps execution with research-level thinking, a combination that spans everything from infrastructure to publication-grade experimentation. You'll read and implement cutting-edge ML papers, debate architecture and statistical methodology with the engineering team, and translate model results into clear business impact at company All Hands. Given how much large language models have reshaped what's possible, you'll also help shape Thrive Market's long-term vision for search and discovery. It's a role that runs the full arc from research to production to business outcomes, with real latitude to define how that work gets done.

Build new ML systems from the ground up, close data gaps as they arise, and maintain and improve the existing ML pipeline.

Read and implement ML papers on alternative model architectures, then run training experiments to benchmark results against current production models. From your scope help define the long-term search vision, especially given how LLMs have shifted what's possible

Stand up and manage infrastructure, such as a Redis cluster, to support ML workloads.

Weigh in on and help drive architecture decisions and statistical methodology alongside the broader engineering team.

Help shape Thrive Market's long-term vision for search and discovery, informed by how large language models have changed what's possible to build. From your scope help define the long-term search vision, especially given how LLMs have shifted what's possible

Present model results and roadmap, including business and revenue impact

Hands-on experience with search, personalization, recommendations, ranking, or lifecycle modeling.

Experience with MLOps best practices, including model versioning, CI/CD for ML, monitoring, and operating models in containerized and orchestrated environments (Docker, Kubernetes).

Experience in e-commerce, marketplace, or subscription-based businesses.

Familiarity with working in environments with moderate technical debt or evolving data foundations.

Experience defining and owning metrics, experimentation frameworks, or model performance monitoring in production.

Demonstrated ability to influence beyond immediate project scope, shaping best practices, standards, or strategy across teams.

Comprehensive health benefits (medical, dental, vision, life and disability)

Competitive salary (DOE) + equity

401k Employer Match

9 Days of Observed Holidays

Flexible Paid Time Off

Subsidized ClassPass Membership with access to fitness classes and wellness and beauty experiences

Ability to work in our beautiful office in Playa Vista

Free Thrive Market membership with exclusive employee discount

Coverage for Life Coaching & Therapy Sessions on our holistic mental health and well-being platform

Compensation Description - The base salary range for this position is $175,000 - $250,000/Per Year.

Compensation may vary outside of this range depending on several factors, including a candidate’s qualifications, skills, competencies and experience, and geographic location.

Total Compensation includes Base Salary, Stock Options, Health & Wellness Benefits, Flexible PTO, and more!

This position requires traveling to our HQ office in Los Angeles, California, twice a year for all-company summits; once in the summer and once in the winter.