JobgetherPosted today

Applied ML Engineer

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

Remote (Romania)seniorFull-time

AI in this role

Design and build ML models, evaluation systems, and production inference infrastructure as an Applied ML Engineer.

pythonpytorch

ai-evaluationai-researchmachine-learningmodel-evaluationinference-infrastructurebackend

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Applied ML Engineer based in Romania.

As an Applied ML Engineer, you’ll work at the intersection of machine learning research, experimentation, and production engineering.
You’ll turn ideas from research papers into rigorous experiments, measurable evidence, and reliable products.
The role spans model evaluation, model internals, inference infrastructure, backend systems, and user-facing product experiences.
You’ll work hands-on with modern ML models, designing evaluations that reveal what methods can—and cannot—demonstrate.
You’ll also build production-grade tooling that makes complex experiments repeatable, observable, and accessible to users.
The environment values technical judgment, ownership, scientific rigor, and the ability to move comfortably across the technology stack.
It’s an opportunity to help transform emerging ML techniques into practical systems that people can trust.

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

AI EvaluationAI ResearchMachine LearningModel EvaluationInference InfrastructureBackendPythonPyTorch

Questions you could be asked

How do you decide that one model's output is better than another's for a given task?
Tell me about a research question you investigated. What did you find?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where model evaluation was part of your work. What did you do?
Tell me about a project where inference infrastructure was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Evaluation, AI Research, Machine Learning, Model Evaluation, and Inference Infrastructure. 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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