Do you get excited when ML models interact with the physical world? Are you ready to learn the new exciting world of smart robots?Do you strive in a fast paced and dynamic (startup) environment?
If your answers are mostly
yes
, then keep on reading. At
Nomagic
, we’re on a mission to teach robots the real world. We’re now looking for a
MLOps Engineer
, who’s ready to deep dive into the hard problems of understanding the real world (trying to match with software the millions of years of development leading to the human hand + eye) and share ML engineering experience and ideas with our amazing team.
Offer essentials:
- Play with robots every day
- Salary: 19 000-23 000 PLN gross UoP + significant equity
- Hybrid mode of work: 2 office days/week
- Truly flexible working hours
- No late evening calls - the entire team is based in Europe :)
- English-speaking environment
Here is why we love this job ourselves, and hope you will enjoy it too:
- Our robots are powered by AI
- We already have them in production
- We get to solve the problems no one has ever solved before
- We’re still pretty small, so everyone has a direct impact on the final result
- We have a very experienced engineering & management team from Google, unicorns (Criteo, Climate Corp...) & top robotics companies (ABB, Softbank Robotics, Dematic)
- We combine world-class ML research with top-notch engineering and apply it to solve real problems.
Some of the problems you may try to solve with us:
- Build and deploy new ML-based approaches to:
- Enable using new grippers to expand the range of products handled by our robots,
- Detecting anomalies like detecting product opening in motion, to know when to ask a human operator for help
- Automate data and model retraining pipelines
- Build tooling for easy qualitative and quantitative analysis of computer vision model’s performance
- Evaluate and monitor ML models in production, detect data drifts and other reasons for degraded performance
What skills & experience we’d like you to have:
- Master’s degree in Computer Science, related technical field or equivalent experience
- 2+ years of experience with automating cloud native technologies, deploying applications, and provisioning infrastructure for ML systems, preferably using Docker and Kubernetes
- Experience with one of the major cloud providers (preferably Google Cloud Platform)
- Experience with CI/CD tools such as Jenkins, Gitlab, Github actions
- Basic networking skills
- Great problem solving and proficiency in one of modern programing languages (we use Python, Go and Groovy)
- Understanding of data-centric approach to training, deploying and monitoring ML models
- Fluent communication in English.
Additionally a plus:
- Experience with solving real-world computer vision problems with ML techniques
- Experience with ML training orchestration and experiment tracking tools
- Fluency in writing complex SQL queries
- Foundations in statistics - hypothesis testing, confidence intervals.
What should you expect once you apply?
- 30 minutes call with a Recruiter
- 60 minutes Technical prescreen
- 45 minutes Hiring Manager interview
- Onsites - half a day of interviews & discussions at the office.
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