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Ooak Data

Founding ML engineer

today
70000 –90000 EUR / yearEuropeSenior
Ooak Data

Founding ML engineer

today
70000 –90000 EUR / yearEuropeSeniormachine learningdata anonymization

Founding ML Engineer role at Ooak Data to build a leading business workflow AI data platform and research lab.

Responsibilities

  • As a Machine Learning Engineer and a founding member of the tech team , you'll play a central role in how we design, structure, and scale our products and our technical strategy. You'll report directly to Thomas (CTO & co-founder).
  • Design, build, and scale our data ingestion, transformation, and structuring processes at scale.
  • Contribute across every stage of our product: the anonymization pipeline (combining algorithmic approaches with human verification) to build digital twin of companies.
  • the multi-modal data enrichment & curation pipeline
  • the reinforcement learning (RL) environments simulating real business contexts and workflows
  • Define our technical standards , take an active part in the structuring architecture decisions (tech choices, design patterns, scalability, MLOps).
  • Work closely with the product and business teams to scope and ship new data projects.
  • Mentor and grow the future members of the tech team, building a strong ML engineering & software culture at Ooak Data.

Conditions

  • Entrepreneurial adventure , play a key role and live the early days of an ambitious company, right at the front line of the AI revolution.
  • Backed by Y Combinator , join just as we accelerate.
  • Founding impact , shape the product, the tech stack, and the engineering culture from day one.
  • Offices in central Paris + 1–2 days WFH.
  • Package: €70–90k/year depending on profile
  • BSPCE 0.2–0.5% depending on profile
  • Alan health insurance (mutuelle)
  • 50% Navigo covered

How to apply

  • We can move very fast.
  • A 30-min intro call with Grégoire (COO & co-founder)
  • A 30-min call with Thomas (CTO & co-founder)
  • A technical case study: Async preparation
  • Debrief interview with Thomas
  • A final fit interview with the founding team
  • Offer

Other

  • 📍 Paris (city center) : On-site with 1–2 days WFH
  • 🕐 Start: asap
  • 💼 Contract: full-time (CDI)
  • 💰 €70–90k + BSPCE 0.2–0.5%
  • 👥 Team: 3 co-founders (Pierre-Louis – CEO; Grégoire – CPO & COO; Thomas – CTO) + 1 ML engineer, and growing fast (2 open positions).
  • The promise of AI agents is still unmet in complex, real-world business environments. Our mission is to make it possible for agents to reliably accomplish concrete and useful tasks.
  • That’s why we're building Alexandria, the world's largest library of real-world business workflow datasets.
  • Over the next 6 months, build our we'll acquire and anonymize 3 00+ full data ecosystems from real-world companies. This will allow us to
  • become the leader of real business workflow data
  • be in the best position to launch our own data research lab in early 2027 , enabling new services that help companies around the world automate their workflows with AI
  • This summer we need to build our elite squad to move extremely fast and confirm our leading position on company data.
  • Trust , the foundation of every relationship, internal and external. We extend it by default and value the ownership that comes with it.
  • Ambition , we commit, we move fast, with tenacity and efficiency.
  • Collective , team first, low ego.
  • Kindness , at the heart of every interaction.
  • We're building a solid, aligned, and motivated team.
  • Our traction speaks for itself: we've signed 7 figures contracts with the two largest AI labs in the world , alongside recent partnerships with several smaller labs, all while being 100% bootstrapped. This summer, we're joining Y Combinator , which is accelerating everything.
  • Trust - the foundation of every relationship, internal and external. We extend it by default and value the ownership that comes with it.
  • Ambition - we commit, we move fast, with tenacity and efficiency.
  • Collective - team first, low ego.
  • Kindness - at the heart of every interaction.
  • We're building a solid, aligned, and motivated team.
  • 5+ years of experience in Machine Learning Engineering or software development and data architecture.
  • Strong coding experience using Python or Typescript and Rust
  • Expertise in deep learning frameworks : PyTorch, JAX, or TensorFlow.
  • Experience in Inference and RL framework: vLLM, SGLang, Slime
  • MLOps & model deployment know-how: versioning, monitoring, experiment tracking.
  • Proven track record delivering projects in an agile, collaborative environment .
  • Genuine desire to mentor and grow more junior profiles over time.
  • Demonstrated ability to thrive in a demanding, fast-growing environment.
  • Excellent analytical skills, attention to detail, and strong prioritization.
  • Fluent English , mandatory (working language with our clients and the labs).
  • Experience with GCP (or equivalent), Modal or GPU cluster and serverless technologies
  • Experience with infrastructure as code (Terraform, CloudFormation).
  • Strong interest in data anonymization, multi-modality, and RL environments .
Apply