Principal Machine Learning Engineer
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Job Description
Principal ML Engineer building MLOps systems and research-driven models for Thrive Market, an online healthy-products marketplace. Shaping LLM-informed search and discovery strategy and presenting business impact.
Responsibilities:
- 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
- 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
- Present model results and roadmap, including business and revenue impact
- Bridge hands-on MLOps execution with research-level thinking across infrastructure, experimentation, production, and business outcomes
Requirements:
- 8+ years of machine learning engineering spanning both MLOps and research-oriented work, with demonstrated principal-level impact across the full loop from research paper to production implementation to business impact presentation
- Hands-on experience reading and implementing ML papers, and running comparative training experiments to evaluate new model architectures against production baselines
- Experience building and operating ML infrastructure and pipelines, such as standing up a Redis cluster
- Experience with, or an informed perspective on, search and discovery systems, particularly how large language models have changed what's feasible to build in house versus buy
- Comfortable operating as a cross-functional driver, not just an individual contributor, able to debate architecture and statistical methodology across teams
- Experience presenting technical results and roadmaps, including business and revenue impact, to broad or executive audiences
- 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
- Employment with Thrive Market requires that employees be based in the United States and maintain this throughout employment
Benefits:
- Comprehensive health benefits (medical, dental, vision, life and disability)
- Competitive salary + 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
- Stock Options
- Health & Wellness Benefits
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