Remote ML Research Engineer - BioAI Impact & Equity

Cubiq Recruitment; Remote; GBP 90,000 - 120,000; Full time

Job summary

A cutting-edge BioAI company is seeking a Research Engineer to develop innovative machine learning models with a significant impact on food security and sustainability. This fully remote role involves collaborating with scientists and implementing experimental findings into robust software frameworks. The ideal candidate will have a strong background in machine learning, proficiency in Python and PyTorch, and experience working in interdisciplinary teams. Offering a competitive salary and meaningful equity, it's a great opportunity for those passionate about applying ML to solve real-world scientific challenges.

Benefits

Competitive salary and equity

Support for publications and conferences

Direct impact on sustainability

Qualifications

• Strong background in machine learning or applied mathematics.
• Experience in developing ML models in research settings.
• Proficiency in Python and PyTorch necessary.

Responsibilities

• Develop and evaluate machine learning models including generative and predictive approaches.
• Design and run experiments to validate findings with scientific rigour.
• Collaborate with scientists to translate questions into ML solutions.

Skills

Machine learning

Python

PyTorch

Applied mathematics

Software engineering fundamentals

Education

PhD or MSc in a related field

Tools

Weights & Biases

MLflow

Job description

A cutting-edge BioAI company is seeking a Research Engineer to develop innovative machine learning models with a significant impact on food security and sustainability. This fully remote role involves collaborating with scientists and implementing experimental findings into robust software frameworks. The ideal candidate will have a strong background in machine learning, proficiency in Python and PyTorch, and experience working in interdisciplinary teams. Offering a competitive salary and meaningful equity, it's a great opportunity for those passionate about applying ML to solve real-world scientific challenges.