Senior Machine Learning Engineer (Robotics & Computer Vision)

Red Sky Poland; Warszawa; Hybrid; PLN 183,000 - 219,000; Full time

Benefits offered by this job

Equity incentive

Remote work

Startup studio support

Job summary

Red Sky Poland is seeking a Senior Machine Learning Engineer (Robotics & Computer Vision) to own the product's ML core and drive its technical direction in a hands-on, startup environment. You will develop end-to-end DL pipelines, build robust CV systems, and integrate AI capabilities into a physical robotics product from day one.

You will work closely with the CTO and Co-founder, mentor growing engineers, and shape the AI/ML stack while delivering production-ready, edge-deployed models in a

Qualifications

• 3+ years of end-to-end Deep Learning experience: data processing, architecture design, training from scratch, and deep fine-tuning.
• Proven track record of engineering advanced Computer Vision systems in industrial automation.
• Advanced framework proficiency with PyTorch; custom data loaders and loss functions.
• Computer Vision: CNNs, ViTs, object detection, and segmentation.
• Solid software engineering; production-ready ML components.
• Fluent Polish and English (spoken and written).

Responsibilities

• Owning the AI/ML/Vision core of the product, aligning with the CTO & Co-founder to the technical strategy.
• Writing custom training loops, designing neural network architectures (e.g., in PyTorch), and managing end-to-end lifecycle from data processing to edge deployment.
• Building the AI/ML/Vision components of the MVP, managing architecture design, training, fine-tuning, and 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 edge.
• Mentoring engineers joining the AI/ML function as the team grows.
• Translating customer feedback into robust AI/ML technical requirements.
• Contributing to a culture of code quality, ownership, and rapid iteration.

Skills

Deep Learning

Computer Vision

PyTorch

Edge inference

Software engineering

Tools

ROS/ROS2

Python

Cloud/Edge architecture

Job description

Location: Remote / PL

Stage: Early-stage startup

Product: Robotics automation solutions

About the role

We are looking for a Senior Machine Learning Engineer (Robotics & Computer Vision) to join the technical team of a startup building cutting-edge automation solutions. 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/Vision 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/Vision 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/Vision 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).

• Proven track record of engineering advanced Computer Vision systems within the industrial automation sector.

• 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,

• Prior leadership experience (Lead Engineer, Tech Lead) is a plus, though not required.

What we offer

• Key technical role 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.

Recruitment process

1. Tech Interview (~ 60 min.)

2. Technical assignment

3. Discussion of the technical task

4. Interview with the Investor (~45 min)

5. Agreeing on the terms of cooperation (remuneration)