Research Engineer

present of AI; Greater London; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

Encord is seeking a researcher to tackle open questions in computer vision and multimodal machine learning, progressing from hypothesis to a working prototype and contributing to productization.

The ideal candidate will hold a PhD or comparable applied research record, possess strong maths, and demonstrate hands-on experience with Python and PyTorch, including end-to-end experimentation. Interest in data curation and evaluation is essential for this role.

Qualifications

• PhD or comparable applied research record.
• Solid mathematics and statistical understanding.
• Strong Python and PyTorch programming skills.
• Hands-on experience running experiments end-to-end.
• Genuine interest in data curation, annotation and evaluation.

Responsibilities

• Take an open research question in computer vision and multimodal machine learning from hypothesis to a working prototype.
• Help move the prototype into a real product.

Job description

This role asks for someone who can take an open research question in computer vision and multimodal machine learning and carry it from hypothesis to a working prototype, then help move it into a real product. A strong candidate has a PhD or comparable applied research record, solid maths, strong Python and PyTorch, and hands on experience running experiments end to end. Genuine interest in data curation, annotation and evaluation matters, since that is the core of the platform.

How it fits the AI era

The work sits close to where AI is applied to messy real world data such as video, sensor and 3D inputs for robots and physical systems. Much routine model training is increasingly automated, so the value shifts to framing good questions, judging data quality and evaluating whether systems actually work. Human judgement stays central in designing experiments, setting evaluation standards and deciding what findings mean for customers.

How it builds AI experience

A person here would gain hands on experience with agentic workflows over multimodal inputs, video and 3D understanding, and data curation and evaluation at scale, all grounded in Encord's work with robotics and physical AI teams. Building this background could mean running personal or open source projects on video and multimodal datasets, trying LLM based agents on visual tasks, and publishing or sharing results that show independent contribution.

Worth showing

• PyTorch and Python
• Data curation and evaluation

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Encord

A data platform that helps AI teams manage, label and clean the video, sensor and image data that trains robots, self-driving cars and other physical AI systems.