Senior AI Engineer / Lead Machine Learning Engineer

Biotech · AI-Driven Health Platform · Remote (EU & South America)

The Role

This is where AI meets real-world health impact.

We’re a California-based biotech startup building intelligent systems around microbiome data, predictive health, and personalized care.

We’re hiring a Senior AI Engineer / Lead ML Engineer to take ownership of our AI direction — from model design to production systems.

You’ll work directly with the CTO to shape a data-centric organization, integrate AI into core systems, and build scalable infrastructure for long-term growth.

What You’ll Own

• Translate business and research goals into scalable AI systems
• Design and deploy machine learning models for:
  • Predictive analytics
  • Personalized health insights
  • Image/data processing
• Collaborate with biologists, engineers, and product teams
• Build and scale data pipelines (ETL/ELT) across architectures
• Integrate models into production systems with reliability + performance in mind
• Optimize systems for real-time and large-scale workloads
• Define and lead ML lifecycle governance (validation, monitoring, risk)
• Ensure compliance with data privacy, ethical AI, and regulatory standards
• Drive AI strategy and technical roadmap aligned with business KPIs

What You Bring

• 10+ years building and deploying machine learning systems
• Strong hands-on coding experience (Python required; Node.js a plus)
• Experience leading cross-functional technical initiatives
• Deep understanding of:
  • Supervised / unsupervised learning
  • Classification, clustering, recommendation systems
  • Statistical modeling (regression, probability, Bayesian methods)
• Experience building scalable data pipelines (ETL/ELT)
• Strong cloud experience (AWS, Azure, or GCP)
• Ability to communicate complex ideas to technical + non-technical stakeholders
• Experience with data privacy, ethical AI, and compliance (GDPR / US standards)

Nice to Have

• Experience with healthcare, biotech, or genomics data
• Background in data governance and regulated environments
• Contributions to research (publications, patents, open-source work)
• Experience with real-time or production-grade AI systems

What We Offer

• 100% Remote — work from anywhere in Europe or South America
• Flexible, async-friendly work culture
• Competitive compensation + equity
• Mission-driven work with real-world health impact
• Collaborative, research-driven environment
• Generous paid time off

Why This Role

• Build AI that directly impacts human health outcomes
• Own systems end-to-end — not just models
• Work at the intersection of science, data, and engineering
• Shape the AI foundation of a growing biotech company

Hiring Process

• Intro conversation
• Technical discussion
• Final round with leadership
• Offer

Apply Now

Send your CV (in English) with contact details.