Senior ML Engineer

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $205k - $250k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Truemed

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

💼 Consulting

🍽️ Food & Beverage

Healthcare • Consulting • Food & Beverage

Truemed is an innovative health and wellness platform that empowers consumers to leverage their Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA) for a variety of health-related products. The company offers a curated selection of fitness equipment, sleep supplements, health tech devices, and recovery tools, aimed at helping users spend smarter and live healthier. Through partnerships with leading brands, Truemed provides access to essential wellness products and personalized coaching, fostering a holistic approach to well-being.

📋 Description

• Run experiments to improve classification accuracy and ship successful approaches to production • Design and iterate on classifiers evaluating products against eligibility rules using prompting, retrieval, fine-tuning, and multi-model approaches • Analyze misclassifications, identify failure modes, and define subsequent experiments • Build and extend evaluation sets and metrics, including ground-truth labeling • Track new models and research and test options that could improve accuracy or costs • Extend classification coverage to new product categories • Identify and prototype new applications for models and data beyond product classification • Collaborate with clinical operations and legal teams to translate eligibility standards into labeled data and testable system behavior • Document results and support AI fluency across engineering

🎯 Requirements

• 5+ years of engineering or applied research experience • At least 2 years of hands-on work with LLMs or other ML models on real problems • Track record of rigorous experiments, including clear hypotheses, sound baselines, ablations, and defensible conclusions • Comfort designing evaluation methodology for AI systems • Hands-on experience with prompting, fine-tuning, retrieval, or agent design on foundation models • Fluency in Python • Engineering depth to take an experiment to production • Senior-level ownership of an ambiguous ML problem from first experiment to production • Public evidence of running experiments, such as a paper, open-source ML work, or technical write-up • Experience with healthcare or regulatory classification, or multi-model orchestration is a bonus

🏖️ Benefits

• Stock options • Comprehensive medical, dental, and vision insurance • Employer-sponsored HSA contributions • 401(k) • Unlimited PTO • Remote work • Coworking stipend • L&D stipend • 2x/year company offsites • 2x/year team offsites