encord - Machine Learning Engineer
Requirements
• Hands-on and experimental — you're comfortable executing on projects end-to-end, running tests, and iterating based on what the data tells you • Collaborative by nature — you work closely with engineering and product teams to turn complex algorithmic ideas into reliable, scalable features • Driven to solve hard problems — you thrive at the intersection of strong ML fundamentals and practical engineering • Bonus: you've led or contributed to applied research teams and have relevant publications to show for it • 3+ years of experience in machine learning engineering, with concrete examples of models or systems you've built and shipped • Strong experience in Python and ML libraries such as OpenCV, PyTorch, TensorFlow, Fast.ai, and Keras • Strong foundation in mathematical programming, algorithmic problem solving, and applied machine learning • Bonus: experience in the AI/ML ecosystem and familiarity with computer vision
Responsibilities
• Experiment with and adapt the latest ML technologies to fit into our existing tech stack • Solve idiosyncratic statistical, geometric, and engineering problems • Work closely with a full-stack tech team to assist implementation of research solutions into the product • Contribute to hiring additional talent to our rapidly growing team • Work with a broad tech stack (e.g. ReactJS, Python, REST & GraphQL, OpenCV, PyTorch, GCP, AWS & CUDA, Kubernetes) and the cutting edge of computer vision and deep learning
Benefits
• Competitive salary, commission, and meaningful equity in a high-growth startup • Strong in-person culture — most of the team works from our London office 4+ days/week • 25 days annual leave + UK public holidays • Annual learning & development budget • Travel for customer visits, events, and conferences across the UK and Europe • Company lunches twice a week • Monthly socials & bi-annual team offsites
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