Join us.


Software Engineering Intern · New York

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

We are seeking software engineers with an interest in machine learning to join our New York team to work closely with AI scientists, engineers, informaticians, and drug scientists. As part of your internship, you will work with machine learning models and systems for target identification, one of BenevolentAI’s core products, and utilize your software engineering skills to productize brand new research prototypes.

Primary Responsibilities

  • Pursue a project that productizes machine learning based target identification prototypes by applying rigorous software engineering best practices.
  • Work as a member of a cross-functional team with specialists in informatics, engineering, AI, drug discovery and product for research and development.
  • You will participate in team activities on planning, discussing, and demonstrating capabilities of how to use AI for target identification.
  • You will discuss system design ideas with senior engineers in the team, on developing robust, reliable, and flexible systems to support machine learning R&D.

We are looking for someone with

  • A strong academic background, showcasing creativity and persistence in efforts.
  • Strong written and verbal communication skills.
  • A BSc/BEng/BA (MSc/MEng/DPhil preferred) in computer science, software engineering, or a related field, or equivalent commercial experience.
  • Strong programming skills, preferably in Python.
  • Experience with technologies such as Kubernetes, Docker, CI/CD, Airflow, ETL pipelines, etc.
  • Strong interests in machine learning.
  • Bonus points for: 
  • Experience of development in cloud-native environment
  • Experience of development under production constraints
  • Experience with working with machine learning systems


Applications close on February 12th, 2021. In addition to your CV, please send us a cover letter.

Terms and Conditions

Salary: We offer remuneration for the duration of the internships. However, remuneration remains subject to the University regulations & T&C’s - should they not comply with our policy, we reserve the right to review the salary allowance.

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 (AMS: BAI) is a leading, clinical-stage AI-enabled drug discovery and development company listed on the Euronext Amsterdam stock exchange. Through the combined capabilities of its AI platform, scientific expertise, and wet-lab facilities, BenevolentAI is well-positioned to deliver novel drug candidates with a higher probability of clinical success than those developed using traditional methods. The Benevolent Platform™ powers a growing in-house pipeline of 13 named drug programmes and over 10 exploratory programmes, and it maintains successful collaborations with AstraZeneca, as well as leading research and charitable institutions. BenevolentAI is headquartered in London, with a research facility in Cambridge (UK) and a further office in New York.

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 thinks about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.

Important Note

Our team will only contact you from the domain If you receive a suspicious contact request, please email Thank you.