Transformer ML Engineer — From Research to Production

Posted 2 days ago

skaleNew York (NY)

Data Scientists All Other Professional, Scientific, and Technical Services

SENIORITY

Senior

Apply

About the role

Skale is seeking a Machine Learning Engineer in New York to design, fine-tune, and evaluate large-scale transformer models. The role involves leading end-to-end ML pipelines and collaborating with product teams to deliver real-world solutions. Candidates should have 3+ years of hands-on experience with transformer models, strong Python proficiency, and deep familiarity with the Hugging Face ecosystem. This position offers a chance to impact the next generation of intelligent systems.

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.