R&D Machine Learning Engineer

R&D Machine Learning Engineer

About us

Owkin is an AI biotechnology company that uses AI to find the right treatment for every patient. We combine the best of human and artificial intelligence to answer the research questions shared by biopharma and academic researchers. By closing the translational gap between complex biology and new treatments, we bring new diagnostics and drugs to patients sooner.

Owkin has raised over $300 million and became a unicorn through investments from leading biopharma companies (Sanofi and BMS) and venture funds (Fidelity, GV and BPI, among others).

Owkin is seeking the best and brightest to join our fast-growing and dynamic team.

About the role:

The R&D Engineer has the opportunity to join a growing engineering team fully dedicated to supporting Owkin R&D programs.

As a R&D Engineer, you will be engaged in many different subjects, ranging from applied biomedical research in oncology to more fundamental machine learning research topics. 

You’ll work directly with Owkin’s R&D Teams under the supervision of our Lead R&D Engineer, collaborate and co-develop with the Federated Data Platform and Diagnostics team across the organization.

In particular, you will:

  • Work on the development of our proprietary ML libraries & workflows in collaboration across the R&D team
  • Develop our image processing and bioinformatics pipelines in collaboration with R&D teams
  • Contribute to solutions to optimize the code for our innovative methodologies
  • Contribute to building the right environment for experiment management and reproducibility, and to managing the lifecycle of our AI models
  • Support prototype development & partner with our Data Platform engineers to help optimize selected prototypes
  • Help bring best practices in software development to a team of talented data and research scientists. 

About you

The successful candidate will have a ‘team-first’ kind of attitude; be curious and detail-attentive; thrive in a dynamic, fast-paced environment; and be fun to work with.


  • PhD or engineering degree in Computer Science, Electrical Engineering, Physics, Mathematics, Statistics or any other related field. 
  • At least 3 years of software development experience within a team or open-source project with expertise in Python ; strong grasp of programming best-practices (e.g. code clarity, documentation, git, etc.)
  • Strong analytical skills with demonstrated ability to quickly adapt to research topics and domains ; a collaborative mindset in a research environment is a must
  • At least 3 years experience in ML, Data Science, MLOps or Software engineering
  • Experience in production environments: Documentation / Specification, Unit tests, Deployment, Packaging, Code optimisation
  • Ability to communicate ideas in a concise and precise manner
  • Experience managing multi-stakeholder research projects
  • Knowledge and familiarity of machine learning fundamentals. Proficiency with Machine Learning and Deep Learning frameworks (PyTorch, Tensorflow,, etc.)
  • Development experience in Linux/Unix-like environments

Ways to stand out

  • Commercial experience of software development experience is a plus 
  • Technical expertise in probability, statistics, optimization, scientific computing, bioinformatics would be a plus as well as knowledge in ML/deep learning concepts and implementation
  • Cloud experience

What we offer

  • Competitive salary & excellent benefits package
  • Flexible work organization and access to remote work
  • Friendly and informal working environment
  • Opportunity to work with an international team with high technical and scientific backgrounds

Recruitment Process & Security

  • Please attach a CV.
  • Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability.
  • Owkin is a great place to work. Unfortunately, being a coveted workplace means we are vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. Most of these have individuals posing as representatives of prominent companies, including Owkin, with the aim of obtaining personal, sensitive, or financial information from applicants. These scams prey upon an individual’s desire to obtain a job and can sometimes “feel” like a genuine recruitment process. Some red flags are identified below. Should you encounter a recruitment process that claims to be for Owkin but is not consistent with the below, please do not provide any personal or financial information:
  • Legitimate Owkin recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn. However, further 
  • communication is always through an official Owkin email address (from the @owkin.com domain), over the phone or though Recruitment platforms (WelcomeKit, talent.io, hidden.market, Fifty Talent or Hiresweet);
  • Legitimate Owkin recruiters will not solicit personal data from candidates during the application phase including, but not limited to, date of birth, social security numbers, or bank account information;
  • Legitimate Owkin interviews may be conducted over the phone, in person, or via an approved enterprise videoconferencing service (such as Google Meets or Highfive). They will never occur via Signal, Telegram or Messenger
  • Legitimate Owkin offers of employment are based on merit and only extended once a candidate has interviewed with members of the hiring team. Offers will be extended both verbally and in written format. Owkin may request some personal information to initiate the hiring process, but this will be through protected means.


If you think that you have been a victim of fraud, 


R&D Machine Learning Engineer



Paris - Nantes - London - Remote


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