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!
Would you like to be part of our team of Research Engineers in San Francisco, designing and implementing machine learning models and algorithms for real life problems?
If so then keep reading….
As a Research Engineer, you’ll be a part of the engineering department,
The Research Engineer must accomplish the following:
- Design and implement highly scalable algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies.
- Collaborate with the Research department to facilitate research that enables learning the semantics of data (images, video, text, audio, and other modalities).
- Apply knowledge of relevant research domains along with expert coding skills to develop industrial solutions (POC, MVP, fully deployed solution) and products (platforms and frameworks).
- Adapt machine learning and neural network algorithms and architectures to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
- Report and present development work clearly and efficiently, both internally and externally (clients, different audiences, etc.), both verbally and in writing.
- Upon request, collaborate with the business development team in their pre-sales activities, including but not limited to presenting the company to new prospective clients, and representing InstaDeep in conferences/events.
Requirements:
- A B.S, M.S, or Ph.D in Computer Science, Machine Learning, Reinforcement Learning, or in a related field.
- 2-5 years’ experience.
- Excellent knowledge of Machine Learning and Deep Learning algorithms and models.
- Good understanding of Reinforcement Learning.
- Experience in developing and debugging production-level Python or similar languages. Knowledge of C/C++ is a strong plus.
- Experience with autograd libraries such as TensorFlow, PyTorch, Keras, or JAX.
- Proficiency with version control (Gitlab, Github) and best coding practices.
- Experience with CI/CD tools to automate building, testing and deployment of ML projects.
Nice to haves
- Research and software engineering experience demonstrated via previous work, contributions to open source, or coding competitions.
- Reinforcement Learning, Computer Vision, Representation Learning, or Natural Language Processing experience.
For this position we are considering Mid-level Research Engineer with a salary pay range of $130,000 and $160,000. 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, for full-time employees, that includes short-term disability, and contributory health, dental and vision insurance (currently the Company contributes a portion of the premium), a 401(k) plan including an employer match, life insurance, open paid time off (OPTO), Coverage of gym activities up to $120 a month.
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.
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