Join us.

Product Development
New York

Advanced Machine Learning Engineer

With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology.


The Role

The Machine Learning Engineering team is an interdisciplinary group focused on applying engineering rigour to machine learning problems on the BenevolentAI software platform. To carry out our role, you understand discoveries in machine learning algorithms, as well as the impact of a well-engineered model training and deployment infrastructure with a reliable data pipeline - and innovate on all.

BenevolentAI is committed to growing diverse and inclusive teams. We welcome you to apply if the job description as a whole appeal, even if there are specific areas where you don’t have previous experience!

Primary Responsibilities

  • Design and implement reusable and maintainable AI models that solve drug discovery problems.
  • Bridge AI research and software development teams to speed up concept-to-production transition.
  • Promote machine learning best practices, such as scalable training and deployment, model introspection and evaluation, new state-of-the-art implementations, etc.
  • Promote engineering best practices, such as code reviews, test-driven development, pair programming, etc.

We are looking for someone with

  • Degree in Computer Science, Machine Learning, Artificial Intelligence (BSc/MSc/PhD) or related academic discipline.
  • Strong in at least one programming language (Python preferred).
  • Basic algorithms and data structures for software development.
  • Knowledge of modern tools for ML such as Tensorflow, Pytorch, etc.
  • Knowledge of modern MLOps tools such as Kubeflow, MLFlow, Sagemaker, etc.
  • Experience implementing machine learning workflows.
  • Awareness and passion for the state-of-the-art in machine learning.
  • Understanding of distributed systems and microservice architectures.
  • Experience developing at least one of the following software systems: databases, APIs, microservice architectures, web frameworks, core machine learning libraries.
  • Experience in at least one of the following software domains: frontend development, backend development, data processing pipelines.
  • Basic knowledge of biology, and/or experience working with biomedical data is a plus.
  • Knowledge of the pharmaceutical industry, ideally with a focus on drug discovery, is a plus.

We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey.  If that sounds like a fit for you, hit the apply button and join us.

About us

BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities.  In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery.

Want to do a little more research before you apply?

Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.

Important Note

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