Senior Machine Learning Engineer
vor 13 Stunden
Senior Machine Learning Engineer
Full-time | Munich | Seed Stage | Equity + Salary
Help Build a Generational Company
At Knowlix, we're on a mission to 10x small businesses' productivity. We strive to become the dominant small business platform for human-AI and AI-to-AI collaboration.
We're still early, but we're thinking big. This is your opportunity to help shape a product that serves millions and defines a category.
We move fast, ship often, and obsess over quality. If you burn to build, ship, and scale - and you love using AI to make things radically better - this is your seat at the table.
Why Knowlix, Why Now
- We're a well-funded seed-stage startup, backed by top-tier investors and experienced founders
- Our tech works - and first users are already feeling the first magic
- We're going after a massive market, with a product that changes how people work
- You'll be joining as one of the earliest team members - with real influence and ownership over the trajectory of the company
- We believe speed is a function of focus + iteration
This isn't a job. It's a chance to help build a once-in-a-generation company if we do things right.
The Role
You will design and ship advanced ML systems - especially LLM-driven agents and self-improving workflows. You'll build robust data and training pipelines, enable fast experimentation, and ensure models and agents continuously improve in production. This is a hands-on role in a fast-moving startup where you ship, measure, and iterate quickly.
What You'll Do
- Build LLM-based agents, tool-using workflows, and autonomous self-improvement loops.
- Design, train, and evaluate ML models across NLP/LLM, vision, and retrieval domains.
- Develop data pipelines, training code, experiment tooling, and automated deployment systems.
- Use PyTorch for model development and W&B (or similar) for tracking experiments and lineage.
- Implement monitoring for performance, drift, safety, and agent behavior.
- Optimize inference for latency, throughput, and cost.
- Work closely with engineering and product to turn prototypes into reliable production features.
- Establish ML engineering best practices and mentor teammates.
What You Bring (Requirements)
- 5+ years experience deploying ML systems to production.
- Strong Python and deep experience with PyTorch.
- Hands-on experience with LLMs, retrieval (RAG), tool-use, or agent frameworks (e.g., LangGraph, AutoGen).
- Strong command of experiment management, versioning, and reproducibility using tools like W&B, MLflow, or similar.
- Solid understanding of data engineering and cloud infrastructure for ML workloads.
- Ability to take ambiguous ideas to production in a fast-paced startup environment.
You'll Thrive Here If You… (Preferred)
- Experience with reinforcement learning, self-evaluating or self-correcting agents.
- Publications or patents.
- Experience with model compression/optimization (quantization, distillation).
- Familiarity with safety evaluation, alignment techniques, and responsible AI practices
What You'll Get
- A path-defining role in a high-upside company backed by world-class investors
- Deep ownership and equity
- A team that cares deeply about what we're building and the people we build it with
- A rare chance to leave your mark on something that has the opportunity to become generational
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