Molecular AI ML Infrastructure Engineer Fast Pipelines

Posted yesterday

genesis molecular aiSan Mateo (CA)

SENIORITY

Mid

Apply

About the role

Genesis Molecular AI seeks a Machine Learning Infrastructure Engineer to build data and orchestration systems powering molecular AI. You will design and optimize our in-house orchestration framework and the data preprocessing pipelines that run on top of it. You will collaborate with ML researchers, computational chemists, and software engineers to reduce latency, enable lazy evaluation and caching, and improve reproducibility across complex scientific workflows.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

More like this