Staff ML Engineer — Production AI & Systems, Equity
hiveSeattle (WA)
Staff ML Engineer — Production AI & Systems, Equity
Posted yesterday
hiveSeattle (WA)
SENIORITY
Lead
About the role
Deploy seeks a Staff Machine Learning Engineer to advance production ML models, design scalable data pipelines, and deliver robust backend services. You will mentor teammates and collaborate across teams to shape the ML platform. You should have deep experience in distributed systems, ML frameworks like PyTorch/TensorFlow, and Python scripting, with a track record of end-to-end product development in fast-paced environments.
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.