Machine Learning Engineering Manager - Music
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Clera
NewDesign and build core full-stack product features for a seed-stage AI startup automating freight and logistics operations. You'll own critical system components, evaluate and fine-tune LLM capabilities in production, and work hands-on with founders in Munich on-site. The role requires 2–3 years of experience with AI/ML systems, Python fluency, strong full-stack engineering across backend and cloud, and production systems experience. Salary €60,000–€90,000 annually plus equity.
Written from this posting by Neural Jobs AI. The full description is below.
This is an early, high-ownership engineering role at a seed-stage vertical AI startup building autonomous tooling for the global freight and logistics industry. You will join a small founding team in Munich to design, build, and scale the core product, shaping technical direction from the ground up. The role combines hands-on full-stack engineering, production AI/ML work, and real product ownership.
Own and personally design, build, and maintain the most critical parts of the product.
Build reliable full-stack features that make users radically more efficient.
Evaluate, benchmark, and fine-tune AI capabilities to maximize domain accuracy and context.
Continuously experiment with new model releases, frameworks, and agentic techniques in production.
Ship promising approaches quickly and iterate based on data and user feedback.
Navigate and improve large-scale, complex legacy code to add structure and scalability.
Engineer infrastructure and automation to support heavy data and AI workloads.
Collaborate closely with founders and teammates as a hands-on, high-ownership contributor.
Practical, hands-on experience with AI/ML and LLM systems: benchmarking, fine-tuning, and running experiments in production.
Strong full-stack engineering skills with fluency across backend and cloud environments.
Fluent in Python; familiarity with Go is a strong plus.
Domain knowledge in logistics or freight forwarding.
Evidence of building robust, real-world production systems.
Comfort working with complex legacy codebases and engineering for scale.
Strong CS fundamentals, intellectual humility, and exceptional self-discipline.
2 to 3 years of professional experience, or equivalent through relevant projects or a demonstrable track record.
Prior startup or entrepreneurial experience, with a results-oriented and autonomous work style.
Strong spoken English sufficient for fluid technical discussion.
Willingness to work on-site in Munich or to relocate there.
Salary range: 60,000 to 90,000 EUR annually. Equity participation via options (up to 1%, with top-ups possible). Visa sponsorship is not available.
On-site in Munich, Bavaria, Germany. This role requires regular in-person presence; remote work is not an option.
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