Machine Learning Infrastructure Engineer
genesis-molecular-ai · San Mateo
Job description
About the role
Genesis Molecular AI is building the next generation of AI foundation models for drug discovery. As a Machine Learning Infrastructure Engineer you will create the data and orchestration systems that power large‑scale scientific workflows, bridging computational chemistry, structural biology and machine learning.
Key responsibilities
- Design and evolve our in‑house workflow orchestration framework, including DAG construction, scheduling, caching, retries and observability.
- Build and optimise large‑scale preprocessing pipelines for protein structures, chemical datasets, simulations and ML training data.
- Profile end‑to‑end workflows and eliminate bottlene‑cks such as redundant I/O, serialization and unnecessary recomputation.
- Develop abstractions for lazy execution, incremental computation and intelligent caching to minimise redundant work.
- Collaborate with ML researchers, computational chemists and software engineers to translate scientific workflows into reproducible pipelines.
Required profile
- Passionate about DAGs and dependency‑driven computation.
- Impatient about latency and driven to accelerate slow pipelines.
- Evangelist for lazy execution and caching, avoiding unnecessary recomputation.
- Strong systems engineering background with experience in APIs, distributed systems and performance optimisation.
- Hands‑on experience building production data‑intensive pipelines.
- Ability to move between framework design and application‑level optimisation.
Required skills
- Experience with workflow orchestration tools such as Airflow, Dagster, Flyte, Ray or similar.
- Familiarity with large‑scale data processing frameworks like Apache Spark, GCP Dataflow or Apache Beam.
- Kubernetes and containerised compute environments.
- Infrastructure‑as‑code tools such as Terraform.
- Cloud object storage and GPU‑based high‑performance computing.
- Knowledge of molecular data formats and tools (RDKit, OpenEye, BioPython, molecular dynamics tooling).
What we offer
- Competitive salary and equity package.
- Comprehensive health benefits (medical, dental, vision) fully covered for employees.
- 401(k) plan, unlimited PTO and paid family leave.
- Free lunches and dinners at the office.
- Life and short‑/long‑term disability insurance.
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Published 9 hours ago
Expires 1 month from now
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genesis-molecular-ai
San Mateo
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