14 Feb 2024
Job Information
- Organisation/Company
InstaDeep- Research Field
Computer science- Researcher Profile
Recognised Researcher (R2)- Country
France- Application Deadline
14 Mar 2024 - 00:00 (UTC)- Type of Contract
To be defined- Job Status
Full-time- Hours Per Week
To be defined- Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Lagos, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry.
Join us to be a part of the AI revolution!
Are you a Research Engineer in Science?
In this role at InstaDeep, you will report to the Research Lead. You will assist in developing or designing new products and technology to improve existing technical processes, machines and systems and create new, innovative technologies.
If so then keep reading....
As a Research Engineer in Science, you'll be a part of the research department, The Research Engineer in Science must accomplish the following: Collaborate with other researchers and experts to develop machine-learning methods for problems in computational biology. Assist research scientists in implementing and testing novel research ideas Contribute to the design and implementation of models, tools and libraries to accelerate our research effort. Adapt neural network algorithms to deploy on supercomputing architectures to best exploit modern parallel environments Report and present experimental results and research findings clearly and effectively, both internally and externally, verbally and in writing. Contribute to the team's publication efforts. Bridge the gap between the research and product teams by integrating new fundamental research into applied projects.
Requirements:
- M.S./Ph.D. degree in Computer Science, Machine Learning or related field.
- Experience using Deep Learning frameworks like PyTorch, Tensorflow and/or Jax.
- Experience in developing and debugging in Python3 or similar languages.
- Ability to understand, replicate and adapt to industrial standards research works Software engineering experience (Object-Oriented Programming, Unit Testing, Profiling, CI, Docker) via previous work or contributions to open-source projects.
- Experience with high-performance computing methods and frameworks such as MPI, and Ray (distribution on clusters of CPUs and accelerators) Excellent communication skills and collaborative spirit.
Nice to haves:
- 2-5 years experience in Reinforcement Learning, Computer Vision, or Natural Language Processing experience.
- Structural biology or molecular dynamics experience.
- Published scientific papers in domains in relation to Artificial Intelligence and/or BioInformatics
Our commitment to our people
We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we're proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds.
Right to work: Please note that you will require the legal right to work in the location you are applying for.
Requirements
Additional Information
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- InstaDeep
- Country
- France
- Geofield
Where to apply
- Website
https://illbeback.ai/job/senior-research-engineer-machine-learning-for-biology/…
STATUS: EXPIRED
Similar Positions
-
Professor Of Ai/Machine Learning And Scientific Leader Of Chair Centre, Chalmers University of Technology, Sweden, about 24 hours ago
We have an opening for a permanent position at a vibrant, international, and outward-looking work environment, in the lively city of Gothenburg on the west-coast of Sweden. We offer you rewarding...
-
Principal Machine Learning Engineer, Generative Ai Products, Digital Transformation, Harvard University, United States, about 3 hours ago
26-Apr-2024 Harvard Business School 65718BR Position Description As a Principal Machine Learning Engineer on our GenAI applications team, you will help lead development of innovative generative AI...
-
Ai Engineer For Manufacturing , ETH Zurich, Switzerland, 1 day ago
inspire AG is the leading Swiss competence centre for product innovation and advanced manufacturing. As a strategic partner of ETH Zurich, our mission is to transfer knowledge and technology from ...
-
Research Engineer Position In Machine Learning, Lulea University of Technology, Sweden, about 4 hours ago
Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, a...
-
Director Of Ai Solutions And Architecture, Arizona State University, United States, 16 days ago
100416BR Campus: Tempe Dir Information Technology Svc Job Description Arizona State University (ASU) is at the forefront of transforming higher education through the integration of advanced artifi...
-
1 2 Postdoctor (2 Years) Within Optimization For Machine Learning , Umeå University, Sweden, 1 day ago
Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world-...