Senior Machine Learning Engineer (Robotics & Computer Vision)

Red Sky

Polska

Remote

PLN 201,000 - 268,000

Full time

29 hours ago
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Benefits offered by this job

Equity/incentive package
Startup studio support
Access to industry experts

Job summary

Red Sky, a Poland-based startup, is seeking a Senior Machine Learning Engineer (Robotics & Computer Vision) to own the product's ML core and steer technical direction as the company scales. This hands-on role requires building end-to-end DL/Vision systems, developing on-device inference, and ensuring seamless integration with robotics hardware.

You will write custom training loops, design architectures in PyTorch/TensorFlow, mentor growing AI/ML engineers, and translate market needs into robust

Qualifications

  • 3+ years of end-to-end Deep Learning experience, from data processing to training from scratch.
  • Proven track record in industrial computer vision systems and robotics applications.
  • Strong software engineering foundations and production-ready ML delivery.
  • Fluent Polish and English (spoken and written).

Responsibilities

  • Own the AI/ML/Vision core and align with the CTO's technical strategy.
  • Write custom training loops and design neural networks (PyTorch).
  • Build MVP AI/ML components, including edge deployment interfaces.
  • Define AI/ML stack and monitor industry trends to stay competitive.
  • Mentor engineers joining the AI/ML function and translate market needs into specs.

Skills

Deep Learning (end-to-end)
Computer Vision
Software Engineering
Edge AI / On-device Inference

Tools

PyTorch
ROS/ROS2
Python

Job description

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.

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

  • Tech Interview (: 60 min.)
  • Technical assignment
  • Discussion of the technical task
  • Interview with the Investor (:45 min)
  • Agreeing on the terms of cooperation (remuneration)
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