Machine Learning Engineer
- Published on
About the Role
They are an early-stage startup on a mission to transform biology through frontier AI. They're building an intelligent discovery layer that helps scientists navigate the ever-growing universe of biomedical knowledge and datasets. As an early team member, you’ll help define the foundations of AI-first tooling for life science.
Responsibilities
Design and build scalable infrastructure for training, evaluating, and serving ML models tailored to biomedical tasks.
Fine-tune foundation models (LLMs, GNNs, transformers) on biological corpora and structured data (e.g., sequences, pathways, omics).
Develop retrieval-augmented generation (RAG) pipelines and multi-modal interfaces that integrate literature, experimental data, and structured annotations.
Collaborate with biologists and product teams to ship production-quality tools that accelerate scientific discovery.
Lay the technical groundwork for team growth, mentoring and shaping engineering culture.
About the Candidate (Expectations and Nice to Have Skills)
4+ years of experience in ML, ideally including time at a startup or research lab.
Strong software engineering fundamentals and experience with ML infrastructure (e.g., PyTorch, JAX, Ray, Hugging Face, Kubernetes, Weights & Biases).
Deep familiarity with biological datasets and bioinformatics workflows (e.g., sequence alignment, annotation, pathway enrichment).
Experience fine-tuning or adapting large language models or transformer-based architectures for domain-specific tasks.
Bonus: Experience with scientific QA systems, graph-based reasoning, or training models with limited supervision.
About the Company
Storm3 is a HealthTech & Biotech recruitment firm with clients across major Tech hubs in Europe, APAC, and North America. We ensure our candidates find roles that respect their skills and career goals.
Company Culture and Benefits
This position offers competitive base salary along with hefty equity. The role allows for remote work within the US with monthly travel requirements.