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Research Engineer: Scalable ML Pipelines & Experiments

Posted 2 days ago

seldon technologiesMillbrae (CA)

SENIORITY

Senior

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About the role

Seldon Technologies, Inc. in San Francisco seeks an experienced ML Engineer to turn research prototypes into robust, tested data generation, training, and evaluation pipelines. You will work alongside researchers to scale post-training systems and develop shared software for growing research. You will build distributed experiments, profile GPU workloads, add tests and experiment tracking, and contribute to tooling that ensures reproducibility as research expands.

Before you apply

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

Your profile is current

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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.

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