Founding Machine Learning Engineer
Clera · remote
What this role requires
7 requirements, read out of the advert rather than guessed from the job title:
Also mentioned, not required: Weights & Biases, MLflow, English. Worth having, but their absence is not what gets a CV filtered out.
See how often each of these is required across open data roles in Europe.
Free, no card. Tells you which of them your CV evidences and which it only implies.
Job description
About the Role
This is a founding-level Machine Learning Engineer role at a well-funded Series A AI data and services startup based in Mountain View, CA. You will join a small, high-caliber team building and scaling core ML systems from the ground up — bridging research and engineering to design, train, and ship production-grade models for top AI frontier labs. This is a high-ownership position where your work directly shapes the company's technical culture, infrastructure, and long-term ML impact.
The company specializes in high-quality training and post-training data, reinforcement learning environments, and intelligent agents — serving both frontier AI labs and enterprise customers. Visa sponsorship is not available for this role.
What You'll Do
Build and optimize end-to-end ML pipelines, from data ingestion through to deployment.
Implement and fine-tune LLMs, embeddings, and generative models for real-world applications.
Read the full description (21 more sections)Show less
Develop efficient training and inference systems leveraging distributed compute.
Partner with data and product teams to translate ideas into measurable ML impact.
Contribute to model monitoring, evaluation, and continual learning frameworks.
Establish best practices in model versioning, reproducibility, and scalability.
What We're Looking For
Required:
3–10 years of experience as an ML Engineer, Applied Scientist, or Research Engineer.
Proficiency in Python and at least one major ML framework: PyTorch, TensorFlow, or JAX.
Strong grasp of ML fundamentals — data preprocessing, feature engineering, model training, and optimization.
Hands-on experience with distributed systems and cloud ML infrastructure (AWS, GCP, or Azure).
Familiarity with MLOps tooling such as Weights & Biases or MLflow.
Comfort working with large datasets and high-throughput systems.
Strong bias for action, ability to work autonomously, and genuine excitement about building from scratch.
Compensation & Benefits
Base salary: $220,000 – $300,000 USD annually
Equity participation as a founding team member
Opportunity to establish technical direction and culture at an early-stage, high-growth company
Location
On-site — Mountain View, California, United States
Visa sponsorship is not available for this position
Find more English Speaking Jobs in Germany on Arbeitnow
You will apply. Then you will hear nothing.
And no one will tell you what was wrong. See it before you send: your ATS score, every weak line, and the fix for each.
- 1
Drop in your CV
One PDF, thirty seconds. No card.
- 2
See what is wrong with it
Every weak passage, quoted from your own CV, with the line to replace it.
- 3
Apply where you fit
Every European role ranked against what your CV actually says.
- Free, no card
- Your CV file is deleted after parsing
- Or skip the upload — build your profile by hand
- Refreshed every 6 hours