
Machine Learning Engineer
What we don't have yet is a team that properly owns this. That's the job. You will be the senior engineer in the room from day one: setting the technical direction, deciding what we build versus what we buy, and helping us hire the people who come next.
- Designing, building, and shipping machine learning solutions that run in embedded and real-time environments
- Taking models the whole way: data, training, optimization, integration, deployment, and the unglamorous monitoring afterwards. Establishing the foundational MLOps infrastructure
- Tailoring models for constrained targets (quantization, pruning) and making honest trade-offs between accuracy, memory, and latency
- Working across diverse domains and business units (embedded, DTV, Android, IoT, automotive, CI/CD). Their constraints are your constraints, and most of your design decisions will be made in conversation with them.
- Turning advanced AI concepts into practical tools. You will build RAG systems and multi-agent workflows to solve real bottlenecks in daily engineering work.
- Defining what we need, interviewing candidates, and establishing the engineering standards, tooling, and review practices the team will work by
- Providing structured engineering mentorship and helping us turn interns into colleagues
- Communication with stakeholders across the company. Part of the job is explaining what AI can realistically do for a given product and being equally clear about what it can't.
- Experience shipping ML to production. You should be able to talk through something you built that real users depended on
- Hands-on experience with embedded and/or real-time systems: memory and CPU budgets, debugging on target hardware
- Advanced proficiency in Python
- Practical experience with machine/deep learning frameworks, as well as the MLOps tooling required to support them
- The ability to work without a fully defined roadmap. Early on, part of your job is deciding what the job is.
- University degree in computer technology or computer science
- Very good knowledge of English language
- Experience applying AI to source code
- A track record of sharing knowledge, whether through conference talks, internal tech presentations, or university lecturing
RT-RK d.o.o.
Upoznaj kompaniju RT-RK Mi smo RT-RK i proizvodimo embedded softver. Započeli smo ovu granu industrije pre 30 godina. Embedded je softver putem kog tvoj ekran u kolima komunicira sa motorom ili čipovi u zvučniku sa ostatkom sistema pametne kuće. RT-RK radi najkompleksnije projekte u toj oblasti na svetu, ali više o tome kasnije. Ponosimo se time da smo obrazovali preko 1000 inženjera u ovoj oblasti, od kojih velik deo još uvek radi kod nas. Sarađujemo s fakultetima u istraživačkom radu.…
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