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, Kigali, 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!
The internship will take the form of a novel research project with InstaDeep’s engineering team (applied research). In collaboration with, and guided by, other research engineers you will work on a challenging problem where new solutions are needed to push the performance of AI models. For example, past interns have worked on problems like: exploring planning algorithms for combinatorial optimization problems and increasing the effective context length of language models for biological tasks that require understanding long DNA sequences.
The internship’s duration will be 3 months.
We design the internship to focus on a small part of a challenging application where we can test our ideas and improve upon previous work within the three months allotted. Although we have project ideas, we take into account the interests of interns and work together to design the best plan.
You will be responsible for writing high-quality code, running well thought-out experiments, as well as documenting and communicating your findings to the wider team. Depending on project outcomes and wider team developments, you may be required to investigate different research avenues or contribute to work on any of the engineering team’s products in development.
Keywords: Machine Learning, Reinforcement Learning, Deep Learning, Research
Internship Responsabilities
- Work alongside research engineers in the engineering team, investigating approaches to solving the problem
- Investigate and establish performance baselines
- Extend the investigation with the use of cutting-edge machine learning techniques
- Research and keep on-top of latest developments in the area that might be relevant
- Be methodical and thorough about running and documenting experiments
- Produce good quality code, using software engineering best practices
- Report on, and present progress and findings, clearly and effectively
Requirements
- Undergraduate or graduate degree in Computer Science, Mathematics or a related scientific field
- Highly motivated and willing to tackle new unexplored challenges with limited supervision
- Knowledge in, and ideally experience with, deep learning
- Experience developing and debugging in Python (familiarity with OOP a plus)
- Experience using deep learning frameworks such as PyTorch, Tensorflow and/or Jax.
- Research and software engineering experience demonstrated via previous work experience, internships, contributions to open source projects, or coding competitions.
- Excellent communication skills in English
- Work permit for internship time employment in the US
For this position we are considering Research Engineer Intern with a gross hourly salary amounting to $40 USD. Base compensation for this position will vary based on experience, skills and job-related knowledge.
InstaDeep cares about you and your overall well-being, and that’s why we offer a comprehensive benefits package, that includes contributory health, dental and vision insurance valued at around $700 per month depending on the plan chosen.
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 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.
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