Relation Therapeutics is looking for a Director/Senior Director of Machine Learning, reporting to the Head of Machine Learning (currently the CTO).
The successful candidate will lead an interdisciplinary team (including Data Scientists, Data Engineers and experimental scientists) to deliver our strategic priorities in machine learning and to help build our proprietary technologies. This includes contributing to the design and delivery of machine learning projects using the latest methods and engineering best practices. You will have a deep understanding of contemporary ML techniques, experience of leading high-performing ML teams and a track record of delivery.
You will work within (and help develop) our engineering standards and ways of working. You will lead basic ML research (in partnership with other senior group members) and continue to engage with the external community, through papers at the major ML conferences (including NeurIPS, ICML, ICLR and AISTATS) and broader engagement activities including technical blogs etc.
By joining Relation, you will be part of an exceptionally talented team, learn a broad range of skills within and outside your area of expertise, help us shape our culture and strategic direction and ultimately, make a positive impact in patients’ lives.
Lead a team of 3-8 ML scientists to optimally deliver projects using the latest ML methods and modern engineering best practices.
Work closely with bioinformaticians and experimental scientists to review and translate ML methods into meaningful insights for drug development and computational biology.
Provide creative and technical leadership on machine learning projects.
Adhere to Relation’s ML standards and ways of working.
Continue to actively engage in ML research with and through the broader ML research community. Publish papers at the major ML conferences and contribute technical blogs.
Remain at the cutting edge of ML research, especially in a chosen subfield (e.g. probabilistic / causal ML, graph NNs, NLP etc.).
Professionally, you have :
A PhD in machine learning, computer science or other quantitative discipline; or equivalent industrial experience
Deep expertise in contemporary AI/ML methods and topics, including computer vision, NLP, structured data, probabilistic / causal ML etc.
A demonstrable track record of delivering (as technical lead) complex ML projects to customers. The projects must have involved a range of stakeholders and committed FTEs, including at least 2 junior ML scientists (not students or interns)
A proven track record of excellence in machine learning research including conference papers / presentations at NeurIPS / ICML / ICLR
Experience with biological / health / chemical data preferred
Experienced in at least one major machine learning platform; preferably PyTorch
Excellence in software / ML development using Python. Proficient Python developer and engineering leader (2 - 5 years of industrial experience); must be familiar with modern software engineering practices, the use of modern collaborative tools and CI/CD (e.g. GitHub, Slack, Jira, Trello etc.)
Experience mentoring, developing and leading junior staff from different backgrounds across machine learning and software engineering
Demonstrated a track record in building collaborations and are capable of communicating effectively with diverse teams and functions, including data scientists or computational biologist, engineers and experimental biologists.
An ability to work under pressure, manage projects and deliver to defined timelines ensuring that all studies and documents are completed efficiently
Personally, you are:
An inclusive leader and a team player
A clear communicator
Driven by impact
Humble and hungry to learn
Motivated and curious
Passionate about making a difference in patients’ lives
To apply for this position please email email@example.com with a cover note and CV.