Research Engineer - Machine Learning

at  Valence Labs

London, England, United Kingdom -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate16 Aug, 2024Not Specified16 May, 2024N/AMl,Software,Addition,Drug Discovery,Conferences,PublicationsNoNo
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Description:

ABOUT VALENCE LABS

Valence Labs is an AI research and productization engine within Recursion dedicated to industrializing scientific discovery to radically improve lives. Combining the intellectual freedom of academia with the resources and stability of industry, our focus is the development of highly-autonomous systems that will spearhead a fundamental shift in the way treatments are discovered and developed for complex disease. Our research is driven by optimism, purpose, and a shared vision for a healthier tomorrow. We publish in top journals and conferences, are deeply committed to open-science and open-source, and maintain some of the largest and most active research communities in our industry. Our team is located in London and Montreal, where we share close connections with Mila, the world’s largest deep learning research institute.

Responsibilities:

We’re seeking Research Engineers at all seniority levels to shape and lead the development of software and AI systems that will help in our mission of industrializing scientific discovery to radically improve lives. We’re looking for individuals with strong engineering skills, including expertise in designing, implementing, improving, and deploying distributed machine learning systems at significant scale. In addition, we highly value proficiency with state-of-the-art machine learning algorithms and exceptional problem solving skills. In this role, you will:

  • Support Valence Labs’ research agenda across ML for drug discovery.
  • Engage with and contribute to open-source libraries developed by Valence and the research community.
  • Create and improve novel ML methods that will accelerate drug discovery.
  • Collaborate with an interdisciplinary team of dry and wet lab scientists to inform and improve our models and systems.
  • Present and communicate research findings through talks, blog posts, publications, and conferences.


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Computer Software/Engineering

IT Software - Application Programming / Maintenance

Software Engineering

Graduate

Proficient

1

London, United Kingdom