Lead Machine Learning Engineer (Robotics & Computer Vision)

Intro

Location: Remote / EU

Stage: Early-stage startup

Product: Robotics automation platform

About The Role

We are looking for a Lead Machine Learning Engineer (Robotics & Computer Vision) to join the founding technical team of a startup building a cutting-edge automation platform. Working closely with the CTO & Co-founder, you will own the product's ML core and shape its technical direction as the company scales.

To be clear: This is a highly hands-on role, not a corporate, LLM-wrapper, or prompt-engineering position.

We are looking for an ML/Deep Learning practitioner with a strong mathematical background who writes custom training loops, designs architectures (PyTorch/TensorFlow), and optimizes models for edge inference. As a primary builder from day one, your mission is to train deep learning models from scratch, develop robust computer vision pipelines, and integrate these capabilities into a commercially viable, physical robotics product within a high-performing engineering culture.

Your responsibilities

• Owning the AI/ML core of the product, working closely with the CTO & Co-founder to align it with the overall technical strategy,
• Writing custom training loops, designing and implementing neural network architectures (e.g., in PyTorch), and managing the end-to-end lifecycle from raw data processing to edge deployment,
• Building the AI/ML components of the MVP (managing the end-to-end AI/ML model lifecycle, from architecture design to training and fine-tuning and - where relevant - hardware control interfaces),
• Proposing and helping define the AI/ML stack and model architecture,
• Monitoring AI, computer vision, and robotics trends to maintain a competitive technological edge,
• Working closely with the CTO and, as the team grows, mentoring engineers joining the AI/ML function,
• Translating customer feedback and market needs into robust AI/ML technical requirements,
• Contributing to an internal culture focused on code quality, ownership, rapid iteration, and high execution standards.

Who we are looking for (must-have)

• 3+ years of end-to-end Deep Learning experience: From data processing and architecture design to training models from scratch and deep fine-tuning (no API prompting).
• Advanced framework proficiency: Deep understanding of modern DL tools (PyTorch preferred), including writing custom data loaders and loss functions.
• Computer Vision expertise: Hands-on background with CNNs, ViTs, object detection, and segmentation.
• Solid software engineering foundation: Proven track record of building and shipping ML components in real, production-ready products.
• Startup mindset: Pragmatic, analytical, and comfortable in fast-paced, high-uncertainty environments where rapid execution beats over-engineered code.
• Language skills: Fluent Polish and English (spoken and written).

Nice to have

• Experience with hardware control/integration of AI models with physical systems (robotics, embedded systems, IoT),
• Experience with robotics technologies (ROS/ROS2, simulation environments, control systems),
• Experience in robotics automation platforms, cloud-edge architecture, or industrial automation,
• Background in deep-tech, robotics, or engineering-driven startups,
• Hands-on experience in computer vision,
• Prior leadership experience (Lead Engineer, Tech Lead) is a plus, though not required.

What we offer

• Key technical role in the founding team of a robotics startup, with real influence over the AI/ML direction of the product,
• Opportunity to build the AI/ML core of a robotics startup from scratch,
• Remuneration: at least PLN 18 000 net B2B + VAT,
• Equity/incentive package as the company and role grow,
• Support from an experienced startup studio and capital group,
• Access to industry experts and startup-building know-how,
• Fast decision-making and a high-impact environment.

Red Sky is conducting this recruitment process. The cooperation concerns a newly established start-up.

Recruitment process

• Interview with HR (~45 min)
• Tech Interview (~ 60 min.)
• Interview with the CEO (~30 min)
• Interview with the Investor (~45 min)
• Workshops (technical & product alignment)
• Agreeing on the terms of cooperation (remuneration )

or

My information

Fill out the information below

Full name *

Email address *

Phone number *

• International
• Afghanistan

Afghanistan

CV or resume *

Upload your CV or resume file

Upload a file or drag and drop here

Upload a file or drag and drop hereAccepted files: PDF, DOC, DOCX, JPEG and PNG up to 50MB.

Other information

Upload your cover letter

Upload a file or drag and drop here

Upload a file or drag and drop hereAccepted files: PDF, DOC, DOCX, JPEG and PNG up to 50MB.

Questions

Please fill in additional questions

Share a link to a model/repo/notebook you fine-tuned (HF, GitHub) and describe what specifically went wrong on your FIRST attempt - what was the issue in the data or hyperparameters, and how did you diagnose it (which metrics changed)? *

You have 3,000 labeled images, one RTX 4090-class GPU, and a requirement of

Describe a situation where a model performed great on validation data but failed in the real environment - what was the cause (distribution shift, data leakage, something else), and how did you detect it? *

When are you able to start cooperation with us? *

What are your financial expectations (PLN net B2B monthly)? * *

PLN

Do you speak English fluently (C1)? *

Yes

No

Do you have legal permission to work in the EU? *

Yes

No

We may utilize AI-powered tools to support specific aspects of the hiring process and help our team review applications more efficiently. AI supports our recruiters but never replaces human judgment - all final hiring decisions are made by people. For more information about how your data is processed, please see our Privacy Policy.

Legal Agreements

I confirm that I have read the information about the processing of my personal data in the Privacy Policy*

I consent to verification of my employment history with previous employers.

I consent to the processing of my personal data in future recruitment processes.

All fields marked with * are required.

All done!

Your application has been successfully submitted!

Other jobs

You've already applied for this job

We appreciate your interest in this position. Unfortunately, you have already applied for this job.