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 daySalary: 19,000-23,000 PLN gross UoP/net B2B per month + significant equity Hybrid mode of work: 2 office days/weekTruly 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 AIWe already have them in productionWe 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 resultWe 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 helpAutomate data and model retraining pipelinesBuild tooling for easy qualitative and quantitative analysis of computer vision model’s performanceEvaluate 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 experience2+ years of experience with automating cloud native technologies, deploying applications, and provisioning infrastructure for ML systemsExperience with one of the major cloud providers (preferably Google Cloud Platform)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 modelsFluent communication in English
,
Additionally a plus:
Experience with solving real-world computer vision problems with ML techniquesExperience with ML training orchestration and experiment tracking toolsFluency in writing complex SQL queriesFoundations in statistics - hypothesis testing, confidence intervals.,
What should you expect once you apply?
30 minutes call with a Recruiter60 minutes Technical prescreen45 minutes Hiring Manager interviewOnsites - half a day of interviews & discussions at the office.