Staff Machine Learning Engineer
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Clera
NewBuild and deploy full-stack features and AI integrations for a logistics tech startup, owning components from backend to LLM production systems. You'll need strong CS fundamentals, hands-on Python experience, and proven ability to benchmark and fine-tune AI models in production. This founding-level role requires working on-site in Munich with a high-ownership mindset. Salary €60,000–€90,000 annually plus equity.
Written from this posting by Neural Jobs AI. The full description is below.
A founding level role within a hands on engineering team in the logistics tech space. You will own critical features from backend to AI integration and help shape the architectural direction as the company scales.
Design, build, and maintain core product components end to end.
Develop reliable full stack features that improve user efficiency.
Benchmark and fine tune AI capabilities and integrate LLMs in production contexts.
Experiment with new models and frameworks to improve performance in production.
Iterate quickly based on data and user feedback while addressing legacy code.
Build tooling and infrastructure to support data and AI workloads at scale.
Collaborate closely with founders and team members in a high ownership environment.
Strong CS fundamentals with hands on full stack experience and the ability to navigate backend and cloud environments.
Fluent in Python with familiarity in Go considered a plus.
Hands on AI/ML experience including benchmarking, fine tuning, and production integration of LLMs.
Experience building robust production systems and automating scalable processes.
Startup or entrepreneurial mindset and comfort working in a high ownership setting.
Willingness to work on site in Munich and participate in equity options as part of the compensation.
Salary range provided: 60,000, 90,000 EUR annually.
Equity participation as part of the early stage team.
Visa sponsorship not available.
Primary location: Munich, Bavaria, Germany. On site in Munich with no explicit remote option stated.
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