Senior Machine Learning Engineer (Robotics & Computer Vision)

redsky

Warszawa

Remote

PLN 183,000 - 219,000

Full time

7 days ago
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Benefits offered by this job

Equity/incentive package
Startup studio support
Industry experts and know-how
High-impact environment

Job summary

Red Sky is seeking a Senior Machine Learning Engineer (Robotics & Computer Vision) to own the ML core of a cutting-edge robotics product. You will build end-to-end DL pipelines, train models from scratch, and deploy at the edge, collaborating closely with the CTO and investors.

This hands-on role requires deep expertise in PyTorch/TensorFlow, computer vision, and production-grade ML systems, within a fast-paced startup culture that values rapid iteration and high execution standards.

Qualifications

  • 3+ years of end-to-end Deep Learning experience.
  • Proven CV systems in industrial automation.
  • Advanced DL tools proficiency including custom data loaders and losses.
  • Vision: CNNs, ViTs, object detection, segmentation.
  • Production-grade ML components for real products.
  • Startup mindset: fast-paced, high-uncertainty environment.
  • Fluent Polish and English (spoken and written).

Responsibilities

  • Own AI/ML/Vision core and align with technical strategy.
  • Write custom training loops and architectures; manage end-to-end edge deployment.
  • Build MVP AI/ML components and hardware interfaces.
  • Define AI/ML stack and model architectures.
  • Monitor trends to maintain competitive edge.
  • Mentor engineers joining the AI/ML function.
  • Translate customer feedback into robust technical requirements.
  • Emphasize code quality, ownership, and rapid iteration.

Skills

Deep Learning
Computer Vision
PyTorch
Custom training loops
Edge inference
Software engineering
Polish & English

Tools

PyTorch
TensorFlow
OpenCV
ROS/ROS2

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.

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

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)

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