Machine Learning Engineer

Engineering · San Francisco, California
Department Engineering
Employment Type Full-Time
Minimum Experience Experienced

Founded in 2014, InstaDeep is today an EMEA leader in decision-making AI products for the Enterprise, with headquarters in London, and offices in Paris, Berlin, Tunis, Lagos, Dubai, Cape Town and the USA. InstaDeep has been named among the Top 100 global AI startups for three consecutive years by CB Insights, as well as one of the 100 most promising B2B companies in Europe, by Sifted. We have created an environment that ensures a challenge by working closely with a broad spectrum of high-quality clients, pushing you to thrive in an environment that’s rarely tedious and always looking to push you to come up with outside-the-box solutions using cutting-edge technologies. In our mission to stay ahead of the curve, we are proud to partner with firms such as BioNTech SE, Google DeepMind, NVIDIA and Intel, and world-class universities such as MIT, Oxford, UCL, and Imperial College London. We are also an NVIDIA Elite Service Delivery Partner and Google Cloud Partner.

InstaDeep is expanding in the United States. With this aim, InstaDeep is looking for a Machine Learning Engineer to support the development of its US activities.

Are you a Machine Learning Engineer who will report to the Engineering Lead. You will design and create the algorithms capable of learning and making predictions that define machine learning.

If so then keep reading…. 

The Machine Learning 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 solutions) 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.


  • 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.
  • 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 the building, testing and deployment of ML projects.

Our Diversity, Equity, and Inclusion commitments

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 by other than by joining our team? 

At present we operate in a hybrid way allowing work from home or work from the office as per each individual’s preferences. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds.

Right to work: Please note you will require the legal right to work in the location you are applying for. 

Any further questions please do not hesitate to contact us at:

Thank You

Your application was submitted successfully.

  • Location
    San Francisco, California
  • Department
  • Employment Type
  • Minimum Experience