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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 )
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.