Research Engineer

Research Engineer at Jobgether scores 90 out of 100 on AI centrality, which makes it a Level 4 role on this board.

Remote (US)midFull-time

AI in this role

Build adaptive ML systems, pipelines for model retraining, and fine-tuning infrastructure as part of an applied ML team.

pythonpytorch

fine-tuningmachine-learningapplied-researchdata-pipelines

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Research Engineer based in United States.

Join a remote, globally distributed Applied ML team focused on building AI systems that can continuously adapt to real-world signals.
You’ll work at the intersection of applied research, machine learning, data strategy, and production engineering.
The role centers on developing efficient pipelines that turn production data and interactions into model retraining and fine-tuning opportunities.
You’ll have substantial ownership over the design and implementation of adaptive ML systems and data products.
Working closely with the founding team, you’ll contribute to both technical research direction and product vision.
This is a hands-on environment where novel technical challenges, experimentation, and rapid execution are encouraged.
Your work will directly contribute to creating more flexible, personalized, and continuously evolving AI systems.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Fine TuningMachine LearningApplied ResearchData PipelinesPythonPyTorch

Questions you could be asked

Walk me through fine-tuning a model: what data did you use, and how did you check the result?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where applied research was part of your work. What did you do?
Tell me about a project where data pipelines was part of your work. What did you do?
Walk me through how you've used Python in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Fine Tuning, Machine Learning, Applied Research, Data Pipelines, and Python. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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