Technical Growth Lead — ML Community & Developer Advocacy

Merantix Aicampus; Berlin; Sur place; EUR 70 000 - 90 000; Plein temps

Avantages offerts par ce poste

Optional equity participation

Conference travel budget

Direct work with founding team

Résumé du poste

A leading AI community firm in Berlin is seeking a Technical Growth Lead to engage with ML engineers and data scientists. In this role, you will be the first contact for users discovering tracebloc, create valuable technical content, and build a developer community from scratch. The position requires 2-4 years of experience in ML or data science, community engagement, and a passion for technical writing. It offers a dynamic work environment and opportunities to represent the company at conferences.

Qualifications

• 2-4 years of hands-on ML or data science experience.
• Visible activity in ML communities with contributions.
• Ability to write engaging technical content.

Responsabilités

• Be the first contact for ML engineers discovering tracebloc.
• Create and share technical content that adds value.
• Build and cultivate a developer community.

Connaissances

Hands-on ML or Data Science

Technical Content Creation

Community Engagement

Presenting at Conferences

Experimentation Mindset

Outils

PyTorch

TensorFlow

Kubernetes

Docker

Description du poste

Technical Growth Lead — ML Community & Developer Advocacy

Be the first technical face ML engineers meet when they discover tracebloc — community, content, conferences, and credible developer advocacy.

Berlin, Germany

OnSite

Full Time

What you'll do

You'll be the person ML engineers and data scientists meet first when they discover tracebloc. Your job is to make that discovery happen — in Reddit threads, on HuggingFace, in Discord conversations, at conferences, and through the technical content you create. You're not a marketer who learned to talk to developers. You're a developer who figured out that helping people find the right tools is more fun than building pipelines. Day to day, you'll hunt for conversations where someone is stuck on a problem tracebloc solves — a team struggling to benchmark models across sites, a researcher who can't get access to private data for training, a data scientist trying to compare vendor models without moving data. You'll jump in with a genuine, technically credible response. Sometimes that means writing code. Sometimes it means linking to a Colab notebook you built. Sometimes it means just being helpful. The tracebloc workspace link comes naturally when it's actually the right answer. You'll also build and run our developer community from the ground up, create technical content that ML practitioners respect (blog posts with code, not whitepapers with buzzwords), speak at conferences alongside our CEO, and join enterprise calls when prospects need someone who can explain how federated learning actually works under the hood. This is an early‑stage role. There is no playbook waiting for you (well, there is a messaging playbook — you'll use it). You'll propose hypotheses, run experiments, measure what works, and iterate. If Reddit isn't working this week, you'll try something else. You're a generalist who happens to be deep in ML.

What we're looking for

• 2–4 years of hands‑on ML or data science work — you've trained models, written PyTorch or TensorFlow code, used tools like HuggingFace, W&B, or Kaggle
• Visible activity in ML communities — a post history on Reddit, HuggingFace contributions, Kaggle notebooks, technical threads on X, a blog, a YouTube channel, or some combination
• You can write technical content with code snippets that ML engineers actually read and learn from
• Comfortable presenting at meetups and conferences — energetic, credible, not corporate
• You think in experiments: "I'd try X because Y, and I'd measure it by Z"
• You don't need a manager to tell you what to do on Monday morning

Nice to have

• Experience managing a Discord or Slack community
• Understanding of federated learning or privacy‑preserving ML
• Experience with Kubernetes, Docker, or ML infrastructure
• A personal following in the ML space (any size)

What we offer

• Work on a product that solves a real problem for ML teams — collaborative AI development without moving data
• Optional equity participation in a company building a category nobody else owns
• Direct work with the founding team — your ideas ship, your experiments run, your voice matters
• Berlin office
• Conference travel budget — you'll be representing tracebloc at events
• The chance to build a developer community from scratch with real resources behind it