Because what we build actually goes into the water and does the job - for both commercial and military use. Its real-world autonomy, not just theory.
We’re a driven and focused team. You’ll have space to try things, ask questions, suggest better ways, and be heard. Your work won’t disappear into a backlog. It’ll shape the product. We care about doing things well, learning as we go, and having each other’s back.
If you want to work on something that matters, with people who actually care, this might be your place.
Our AI-ris product continues to evolve into the next generation of sensors that provides key environment and target data for the purpose of autonomous operation. The project continues to improve upon key factors such as detection, classification, tracking, range detection, and pose estimation using input from passive sensors like RGB cameras, IMUs, and LWIR imagers.
The demand for performance with constraints on power consumption, thermal dissipation, and other marine environment challenges requires AI-ris to develop in novel and innovative ways.
The right candidate for this role will have a passion for developing new technologies and methods to achieve unmatched results in machine learning. Pushing beyond standard methods and pre-packaged solutions is the daily focus of our team.
If all that resonates with you - send us your resume. We’d love to chat and see if this is a great fit for you.
responsibilities :
Use model performance analysis tools such as PyTorch and Tensorflow to conduct new experiments and training sessions,
Support the collection of new real-world and simulated data for model development,
Lead the evaluation and selection of cameras and processing hardware that will perform under constrained resource conditions,
Develop new model architectures to evolve and enhance our computer vision systems,
Refactor legacy code for optimization,
Provide key technical requirements to project tasks and features,
Support and guide the ML engineering team in completing releases on schedule.
requirements-expected :
✅Proficiency in building and optimizing Camera Vision models
✅Defining data requirements, supervising the procurement of relevant training data.
✅Generating simulated data to further enrich the model training process
✅Understanding of model performance metrics
✅Strong English skills, written and spoken
✅Proficient knowledge of C++, Docker containerization
✅Academic background in Computer Science, AI, Data Science, or related fields
✅Excellent communication skills, essential for presenting results to the team and clients
✅Strong analytical thinking, problem-solving skills, and the ability to work independently
offered :
Flexible work hours - with 3 mandatory days of work from Gdańsk office.
Office stocked with snacks and refreshments.
Sports & wellness allowance - We support an active lifestyle with subsidies for gym membership.
Eyewear subsidy - We’ve got your vision covered with financial support for corrective glasses.
