Senior Machine Learning Engineer

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harrison.ai

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

💰 Series B on 2021-12

Artificial Intelligence • SaaS • B2B

Harrison. ai is a medical imaging AI company that develops and deploys diagnostic artificial intelligence solutions for radiology. Its products—such as Harrison. ai Comprehensive Care—automate detection and triage for chest X‑rays and non‑contrast head CTs, surfacing critical and incidental findings rapidly within clinicians' existing workflows. The company focuses on improving clinical throughput, reducing diagnostic delays, and integrating AI into hospital and radiology provider systems across multiple countries.

📋 Description

• Develop AI algorithms, prototypes and solutions for healthcare, with a focus on foundation models and self-supervised learning; • Optimise models and training pipelines for accuracy, scale and rapid experimentation; • Follow agile methodology and software engineering best practice, focussing on test-driven development, rapid prototyping, validation and iteration; • Provide regular technical and other progress reports relevant to projects, and ensure all progression is properly documented; • Engage with the literature to benchmark against and adopt state-of-the-art techniques and algorithms; • Rigorously evaluate generative AI models, and partner closely with teams training models at scale; • Contribute to a culture of excellence, helping to solve problems as they arise, instil a culture of best practice, integrity and agility, as well as champion the Harrison mission internally and externally.

🎯 Requirements

• Extensive experience in an ML engineering or applied research role, working closely with software development teams; • Extensive experience with Python and modern deep learning frameworks such as PyTorch; • Hands-on experience building foundation models and self-supervised learning methods; • Honours or higher academic qualification in computer science, and/or strong quantitative grounding and equivalent software engineering work experience; • Experience evaluating generative AI models and partnering with model training at scale.

🏖️ Benefits

• Innovative for Global Good • Collaboration Across Continents • Well-Funded & Global • Scale Your Potential • Flex for Life • Support for Every Family Journey