Data Scientist
San Francisco
Engineering (All Teams) – Engineering /
Permanent /
On-site
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 Engineering team in San Francisco, designing and implementing machine learning models and algorithms for real life problems?
Job Responsibilities:
- Interact with customers to understand business requirements and priorities.
- Translate business questions into technical problems that can be solved with a combination of software development and Machine Learning research.
- Design, prepare, and present demonstrations that showcase product capabilities and features to customers.
- Analyse large amounts of data to get strategic insights.
- Report and present development work clearly and efficiently, both internally and externally (clients, different audiences, etc.), both verbally and in writing.
- Actively 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 or events.
Requirements:
- A B.S, M.S, or Ph.D in Data Science, Computer Science, Machine Learning, or in a related field.
- 2-5 years’ experience or relevant qualifications.
- Excellent oral and written communication.
- Excellent knowledge of Data Science, Data Analytics, and Machine Learning (e.g clustering, decision trees, etc.), as well as tools for data visualization, processing, cleaning, and storage.
- Experience with high-performance data handling libraries–e.g SQL, Spark, Dask, or Numba.
- Proficiency with version control (e.g Git), best coding practices, and in developing and debugging production-level Python or similar languages.
- Experience with CI/CD tools to automate building, testing and deployment of ML projects.
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.
