Our partner company is a trailblazing force in the realm of artificial intelligence, continuously pushing the boundaries of innovation.
With strategically positioned offices in major global hubs, they engage in collaborations with industry behemoths like Google, alongside esteemed educational institutions.
In a testament to their prowess, our partner has secured a prominent position among notable AI players, fast-rising enterprises, and Europe's top 1000 fastest-growing businesses in 2022.
Their recent acquisition by a prominent biotechnology leader has further cemented their commitment to pioneering the industry.
Currently, we are actively seeking talented Machine Learning Software Engineers - (Protein Folding ) (M/F) to fortify their dynamic team.
In the realm of BioAI, our mission is to push the boundaries of healthcare and medical science by harnessing the combined power of biology and artificial intelligence expertise.
Our client is currently expanding a portfolio of highly successful initiatives, spanning drug discovery, innovative design, and cutting-edge protein engineering.
Of particular note, we are spearheading the development of next-generation vaccines and biopharmaceuticals for the treatment and prevention of cancer, as well as the therapy of infectious diseases.
Joining our team means becoming an integral part of this pioneering effort, working collaboratively alongside scientists, engineers, and biologists.
Your contributions will extend to the creation of scientific papers slated for submission to renowned conferences and prestigious journals.
Specifically, your role will involve active engagement with the following research directions, implementing them on a large scale within our production applications.
- RNA Science
- DNA Science
- Protein Folding
- Protein Design
- Protein-protein Interactions
- Infectious Disease Modelling
To enhance and expand the research capabilities within the BioAI department, the Machine Learning Software Engineer will become part of a versatile team.
Their role will be to contribute to the development and refinement of an innovative platform focused on protein folding studies
- Participate in the planning, design and development of a scalable and robust protein folding application on the basis of state-of-the-art deep learning models such as AlphaFold 2.
- Write and maintain high-quality, maintainable and modular code with concise documentation and continuous integration together with research and DevOps engineers.
- Adapt machine learning and neural network algorithms and architectures to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) on-premises and in the cloud (GCP, AWS).
- Report and present development work clearly and efficiently, both internally and externally (clients, different audiences, etc.), both verbally and in writing.
PROFIL & REQUIREMENTS:
- Postgraduate degree in Computer Science, Mathematics or a related scientific field.
- 2 years+ software engineering experience (Python, Docker, CI/CD, Linux).
- Proficiency with Git workflow, development with best coding practices.
- Experience with deploying scalable Machine Learning pipelines on one of the main cloud platform providers: GCP VertexAI, AWS Sagemaker,AzureAI.
- Experience using deep learning frameworks such as PyTorch and Jax.
- Software engineering experience demonstrated via previous work experience, internships, contributions to open source projects, or coding competitions.
- Excellent communication skills in English.
- Appropriate work permit for the considered location.
- Experience with developing and deploying scalable web applications.
- Experience with provisioning and managing infrastructure optimised for ML workflows through Infrastructure as Code in the Cloud and On-Premise.
PROCESS - 3 to 5 weeks
- 1st screen / initial discussion with the tech recruiter department over video
- A programming test / technical hacker rank test + Review of the test
- Take Home assignment + review call with the candidate
- Call with a head of department
- Type of contract: CDI
- Salary range: From 40k€ to 85k€
- English MANDATORY
- Permanent contract with the end client
- Remote: 2-3 jours / semaine
- Localisation: PARIS