Research Scientist

Location City of London
Discipline: Machine Learning
Job type: Permanent
Contact name: Tom Goldberg

Contact email: tom@digitalsourcinggroup.com
Job ref: 34644
Published: 3 months ago

​At an innovative company in the intersection of AI and biology, there is an exciting opportunity for a highly skilled ML Engineer to join an interdisciplinary team of machine learners, protein engineers, and biologists. This company is focused on developing generative AI models for synthetic biology, with the goal of revolutionizing the way biology is controlled and diseases are cured. Founded by a former core member of the AlphaFold2 team and backed by significant venture funding, this company is driven by a relentless curiosity and a strong desire to make a maximum positive impact on the world.

What You Will Be Doing

As an ML Engineer, you will play a crucial role in architecting novel generative models to design new proteins that are functional in wet lab assays. Your responsibilities will include:

  • Contributing to the curation of training and evaluation data.

  • Proposing and building ML evaluation metrics aligned with real-world success and company goals.

  • Rapidly prototyping generative models and analyzing improvements.

  • Collaborating with research scientists, engineers, and protein designers in a joint codebase.

  • Maintaining high code standards and contributing to the development infrastructure.

  • Planning wet lab testing campaigns and carrying out model inference against biological targets.

  • Learning from wet lab results and feeding data back to the models.

  • Staying up-to-date with the latest developments in ML.

  • Gaining a strong working understanding of protein and cell biology.

  • Participating in knowledge sharing, such as organizing and presenting at internal reading groups.

  • Attending and presenting at conferences.

What the Company is Looking For

The company is seeking a highly skilled ML Engineer with the following qualifications:

  • Strong ML researcher with experience in generative modeling, demonstrated by contributions to widely used open source libraries, significant product launches, or high impact publications.

  • Skilled ML developer with a track record of writing robust, tested, and maintainable code.

  • Experience using version control and code review systems.

  • Proficient in running training and inference on cloud hardware and parallelizing data and models across accelerators.

  • Data engineering experience, including building ML data pipelines and analyzing raw data.

  • Passionate about optimizing model performance and familiar with best principles and tricks in architecting deep learning models.

  • Mission-driven and curious, with a passion for making a positive impact on the world.

  • Thrives in a fast-paced and dynamic environment, excelling in achieving goals efficiently and urgently.

What Sets You Apart

While not required, the following qualifications would set you apart:

  • Experience in computational biology or protein design, particularly ML-driven projects in biology.

  • Academic background in physics, biology, chemistry, or related fields.

What the Company is Offering

The company offers competitive compensation and benefits packages, a stimulating work environment, and the opportunity to shape the future of synthetic biology through breakthrough generative models. They welcome applicants from all backgrounds. The role will be based in London, with hybrid working options available.