Algorithms engineer (Optimization & ML)

About the job

Invisix is looking for an Algorithms Engineer to design and implement algorithms for parameter-estimation problems. You will build and refine models, scale algorithms across HPC infrastructure, and validate them against real, noisy measurement data.

What you will do

• Design, implement and validate algorithms for parameter-estimation problems
• Build and refine models that describe measurements
• Parallelize and scale algorithms across HPC infrastructure
• Validate algorithms against real, noisy measurement data and reason about failure modes
• Write production-ready Python code in collaboration with other developers

What you bring

• PhD or MSc with equivalent applied experience in a quantitative field
• Hands-on experience in inverse problems, numerical optimization, machine learning, data fitting, or algorithm validation
• Strong Python engineering skills and experience working with multiple developers on production code
• Comfortable validating algorithms against real, noisy data and reasoning about failure modes
• Active use of AI tooling in daily work

Nice to have

• Experience with physical models or simulation
• Background in HPC, GPU or parallel computing
• Experience turning research code into maintained, tested pipeline with CI and basic MLOps practices

What you get

• Real technical ownership from day one
• Employee Share Ownership Plan
• Learning and development budget
• Flexible working arrangements

Summary by Personeel.com. The full job description and the application form are on Invisix's website (invisix.recruitee.com); Apply takes you straight there.

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