Machine Learning Engineer (CV/LLM)

About us

• Software lab - Flyps is a high-tech software house with nearly a decade of experience turning complex technical challenges into production-ready products.

• Clutch 5.0 ⭐⭐⭐⭐⭐ from satisfied customers!

• Products we helped build were later acquired!

  • (recent exits to Cursor, SpaceX, LlamaIndex, PE)

• Work with serial entrepreneurs, SF startups, and established businesses that want to stay ahead of market shifts.

• A highly experienced team, with in-house PhDs and most senior engineers.

• Work at the technological frontier:

  • An actively developed internal AI harness with access to leading models.

  • Infrastructure for experimenting with local models but don’t worry, we haven’t lost our heads and gone all-in on tokenmaxxing :)

The role

We're looking for an experienced Machine Learning Engineer to join our team and help build production-grade AI solutions focused on Computer Vision and modern ML systems. If you enjoy having real impact on product direction, making key technical decisions, and working on real-world AI applications - this role is for you.

What you'll do

• Design, develop, and deploy machine learning solutions for real-world applications

• Work on AI-driven features involving Computer Vision and LLM-based workflows

• Build and optimize ML inference pipelines for scalability and performance

• Collaborate closely with engineers, product teams, and stakeholders to shape technical solutions

• Participate in architecture discussions and contribute to technical decision-making

• Improve model serving, monitoring, and deployment processes

• Work with image/video processing pipelines and production ML systems

• Support experimentation, prototyping, and continuous improvement of AI capabilities

What we are looking for

• 5+ years of experience in Machine Learning, Computer Vision, or AI-related roles

• Strong Python skills and solid software engineering fundamentals

• Hands-on experience with PyTorch and/or TensorFlow

• Experience building and deploying ML systems in production environments

• Good understanding of machine learning lifecycle and model optimization

• Practical experience with Computer Vision and OpenCV

• Experience with GPU-accelerated inference workflows (TensorRT, CUDA)

• Familiarity with Docker and containerized ML deployment workflows

• Strong communication skills and ownership mindset

• Comfortable working in a bilingual environment (Polish C1+, English B2+)

What we offer

• 26 000 - 33 000 PLN net + VAT monthly, B2B

• 100% remote setup and flexible hours

• Private medical care, life insurance, and Multisport 🏃‍♂️‍➡️

• Referral bonuses

• Equipment of your choice (MacBook by default)

• Interesting, challenging projects - we only take on the ones we believe in :-)