Senior ML Engineer, ML/AI

🕒 June 9

🇺🇸 United States – Remote

💵 $143k - $197k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 33%

What it means: the chance that no one is really hiring for this job.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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Lyra Health

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2015

🏥 Healthcare

⚕️ Healthcare Insurance

☁️ SaaS

💰 $235M Series F on 2022-01

Healthcare • Healthcare Insurance • SaaS

Lyra Health is a mental health company that partners with organizations to deliver comprehensive and effective global workforce mental health benefits. By providing evidence-based mental health care, Lyra Health boosts employee well-being and drives business impact. Their platform offers high-quality mental health support through a global network of professionals, utilizing AI matching technology to connect members quickly with suitable providers. Lyra Health serves families, couples, adults, and children, offering support for diverse mental health needs. Their programs aim to improve employee health, productivity, and reduce healthcare costs while providing a seamless member experience.

📋 Description

• Design, train, fine-tune, and evaluate deep learning, classical ML, and foundational GenAI models to drive core product features. • Build, scale, and maintain robust ML pipelines for continuous training, evaluation, and real-time/batch inference using modern MLOps frameworks. • Collaborate with backend and frontend teams to integrate AI models into microservices, ensuring low latency, high availability, and optimal resource utilization. • Architect scalable data pipelines for preprocessing, vectorizing, and ingestion of massive structured and unstructured datasets. • Implement rigorous evaluation frameworks for model alignment, bias mitigation, guardrailing, and cost/latency optimization (e.g., quantization, distillation). • Provide technical leadership, conduct thorough code reviews, and mentor junior/mid-level engineers on best practices in software craftsmanship and ML engineering.

🎯 Requirements

• 6+ years of experience deploying ML/AI solutions in production environments • Ability to write high-quality code in Python • Experience building RAG (retrieval-augmented generation) based solutions • Experience setting up and maintaining vector databases • A strong desire to work on ML/AI based products • A desire to learn new technologies quickly • A thoughtful approach to balancing quality and deadlines in fast-paced settings • Excellent communication skills with a talent for building consensus and alignment • Strong organizational skills and the ability to distill complex problems into clear priorities that move the team and business forward

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