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(Senior) Machine Learning Developer (Junie)

JetBrains

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What learning roles keep asking for: Machine learning (48%), Python (35%), LLMs (22%), PyTorch (22%), Deep learning (16%), AWS (13%), Generative AI (13%) — counted across their open postings here.

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Preparing for this interview

Interviews for learning roles keep coming back to Machine learning, Python, LLMs, PyTorch. Practise those questions before you sit with JetBrains.

Questions you are likely to be asked

  1. Why do you want to join JetBrains?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. When would you not use machine learning for a problem?
  4. Walk me through a model you built, from the data to how it was used.
  5. How did you know your model was actually good, and not just good on your test set?

Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.

Practise the (Senior) Machine Learning Developer (Junie) at JetBrains interview free →

Are you an engineer who loves diving deep into ML models, building standalone CLI tools, and exploring how far AI agents can go in autonomous coding? Do you want to rethink how software is built and use the tools you create every single day?

About JetBrains

We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale.

What you’ll do

We build Junie, our AI coding agent, available across JetBrains IDEs and as a standalone CLI. We're combining the latest advancements in AI and LLMs with our decades of software development expertise.

We are working in three main areas: growing Junie CLI into a general-purpose agent independent of any IDE, optimizing model ensembling and setups for the best cost-to-intelligence ratio without compromising code quality, and pushing next-level autonomy so Junie can own, maintain, and evolve entire subsystems over multi-day horizons.

You’ll have end-to-end ownership over these initiatives, taking work from early research to production code while shaping the future of autonomous development.

Day to day, you will:

What you’ll bring

What you’ll need

What success looks like

In this role, success means taking bold experiments in agent autonomy and cost efficiency and turning them into reliable, production-ready capabilities. You'll know you're succeeding when Junie can tackle complex multi-day engineering tasks autonomously and the tool you build every day actively improves your own engineering workflow.

 

Why join JetBrains? 

*Some benefits may vary depending on location.

 

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Listed on greenhouse · posted 2026-08-03. ApplySarthi collects openings and links to application pages; the role is advertised by JetBrains, not by us.