Senior Machine Learning Engineer
at Clera · 1-10 employees
Seed · $3M · Apr 2026
- Seniority
- Senior
- Employment
- Full Time
- Location
- San Francisco
- Posted
- 5d ago
pythonscalarestawsgcpazurekubernetesdockerdatabrickssparkci/cd
at Clera · 1-10 employees
Clera is a talent-matching platform that replaces traditional job applications by connecting candidates and hiring teams through curated introductions.
ABOUT THE ROLE A growing AI and Data Science team at a healthcare-focused company is looking for a Senior Machine Learning Engineer to take ownership of complex, enterprise-scale ML initiatives. This is a W2 contract role for work-authorized candidates (no visa sponsorship available). You'll work in a fast-paced environment building production-grade ML solutions that directly impact patient outcomes and healthcare operations — with a strong emphasis on compliance, reliability, and end-to-end ownership. Ideal candidates bring 8+ years of professional ML engineering experience and a mandatory background in the healthcare industry, including hands-on experience with HIPAA-compliant systems and sensitive patient data. WHAT YOU'LL DO - Own the full ML lifecycle: data ingestion, feature engineering, model training, evaluation, deployment, monitoring, retraining, and maintenance. - Design and build scalable, production-ready ML systems with high availability, performance, and reliability. - Develop and maintain MLOps pipelines — including CI/CD, model registry, feature stores, automated deployment, monitoring, and rollback strategies. - Monitor production models for drift (model, data, accuracy degradation) and overall system health. - Build and integrate REST APIs to connect ML services into enterprise cloud applications. - Optimize models for latency, scalability, reliability, and operational cost. - Provide technical leadership on AI/ML initiatives across the organization. - Collaborate with Data Engineers, Software Engineers, Product Managers, Clinical teams, and business stakeholders. - Ensure strict compliance with HIPAA, PHI, PII, and enterprise security standards throughout all ML workflows. WHAT WE'RE LOOKING FOR Required — Dealbreakers: - 8+ years of professional software engineering and machine learning experience. - Healthcare domain experience is mandatory — including HIPAA compliance and handling of sensitive patient data (PHI/PII). - Demonstrated ownership of end-to-end ML lifecycle from data preparation through deployment, monitoring, and retraining. - Experience designing and operating production-grade ML systems at scale. - Hands-on MLOps: CI/CD pipelines, model registry, feature stores, automated deployment, monitoring, and rollback. Required Technical Skills: - Languages: Python, SQL - Platforms: Databricks (production), Apache Spark (distributed computing), MLflow, Feature Store, Model Registry - Cloud: Azure, AWS, and/or GCP for ML workloads - Infrastructure: Docker, Kubernetes, REST APIs, Git, CI/CD pipelines - Strong debugging and performance-tuning skills; excellent stakeholder communication. Nice to Have: - LLMs in production, prompt engineering, RAG, and/or GenAI applications - Scala - Azure ML, SageMaker, or Vertex AI - Distributed ML architecture design - HIPAA-compliant AI solution design experience COMPENSATION & DETAILS - Rate: $70–75/hr on W2 (equivalent to ~$145,600–$156,000 annualized) - Type: W2 Contract - Visa sponsorship: Not available — open to all work-authorized candidates LOCATION Primary location: San Francisco, CA. Additional locations considered include Los Angeles, CA and New York City, NY. Remote-friendly role.