Machine Learning Engineer

Senior ML Engineer - Computational Biology

Stealth AI-First Biotech | Tokyo/Remote | Build the Future of AI and Biology

Join a stealth, well-funded startup revolutionizing pharmaceutical research through cutting-edge AI.

Technology Stack: Neural ODEs/PDEs, Physics-Informed Neural Networks, Multi-Agent AI Systems, Distributed ML Infrastructure, Natural Language Interfaces for Scientific Computing.

What You'll Own

🧬 AI-Biology Integration
Design neural differential equation frameworks to model biological systems at scale
Build physics-informed neural networks for pharmacokinetic/pharmacodynamic simulation
Integrate molecular dynamics with deep learning for drug-target interaction prediction

🤖 Autonomous AI Systems
Develop AI agents that reason over scientific literature and experimental data
Create retrieval-augmented systems for hypothesis generation and experimental design
Build conversational interfaces that make complex biophysical modeling accessible to researchers

⚡ Production ML Infrastructure
Deploy distributed training systems across GPU/TPU clusters for large-scale biological models
Implement MLOps pipelines for continuous model improvement and A/B testing
Scale inference systems to handle real-time molecular simulation queries

Ideal Background

Must Have:
4+ years production ML experience with PyTorch/JAX
Strong mathematical foundation (differential equations, numerical methods, optimization)
Experience with biological/chemical datasets OR strong willingness to learn domain quickly
Track record building novel architectures from research papers to production

Highly Valued:
Neural ODE/PDE implementation experience or physics-informed ML
AI agent development (LangChain, LangGraph, autonomous reasoning systems)
Computational biology, drug discovery, or scientific computing background
PhD in quantitative field (Applied Math, Physics, Bioinformatics, Computer Science)

Mindset:
Excited by unsolved technical challenges at the frontier of AI and biology
Comfortable with ambiguity and rapid iteration in a research-heavy environment
Passionate about technology that could fundamentally extend human healthspan

Why This Opportunity

Lead technical architecture decisions for breakthrough biotech platform
Substantial equity package with liquidation opportunities at funding milestones
Clear path to VP Engineering/CTO role as company scales
Competitive package
Tokyo HQ with full relocation support (visa sponsorship, housing assistance)
Remote options for exceptional candidates (US/Canada/EU timezones)
Quarterly team gatherings in Tokyo + major AI conferences

🔬 Technical Excellence
Work alongside world-class computational biologists and AI researchers
Access to cutting-edge compute resources and proprietary biological datasets
Collaborate with top-tier academic institutions and pharmaceutical partners