Machine Learning Engineer
Machine Learning Engineer
About Hamina Wireless
At Hamina Wireless, we build software and hardware for Wi-Fi, Private 5G, and IoT. We empower wireless professionals to design, deploy, and manage networks with fast, easy-to-use, modern tools.
We’re an experienced team that values concrete results, clear thinking, and craftsmanship. We love complex problems and shipping polished software with great people.
Our Culture
At Hamina Wireless, we believe great work comes from ownership, curiosity, and action. We're looking for teammates who learn continuously, take initiative, and collaborate openly. You’ll work alongside people who care deeply about what they build, and about the people building it.
What You’ll Do
- Drive machine learning projects from design to implementation, including work on data, models and product integration.
- Work with various techniques from in-house transformer models to Agentic AI features.
- Work closely with product leadership and the design team.
- Write clean and reusable code for data work, model training and evals.
What We’re Looking For
Must-have:
- Results-driven: passionate about solving customer problems.
- Strong communication and collaboration skills.
- Understanding of machine learning theory.
- Strong command of Python, Pytorch.
- Knowledge of TypeScript, React, Node.
- Excited about integrating AI tools into your daily work.
- Good taste and an eye for detail.
Nice-to-have:
- Bachelor’s/Master’s degree in CS/ML/Math
- Experience with working on large projects/writing production code.
- Excited about and following AI development and research world-wide.
- Several years of experience in applying machine learning techniques in production
- Experience with Cursor, Claude Code, Codex, etc.
- Familiarity with crafting beautiful user interfaces.
- Understanding of networking or wireless-domain systems.
What we offer:
- Build meaningful software that directly impacts how networks are designed and deployed.
- We encourage exploring new technologies and techniques as well as AI tools.
- Work in a collaborative environment where initiative, curiosity, and craftsmanship are valued.
- A tight-knit, pragmatic, and talented team that enjoys what they do.
- Flexible work culture centered around trust and autonomy.
- Competitive compensation and benefits.
How to Apply
Just send your resume or link your LinkedIn profile to the cover letter. We’ll get back to you about next steps.
Valtteri Aurela
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