Startup Careers

Be a part of our family by contributing to our portfolio companies’ innovation and success. Browse open positions below with Intel Capital portfolio companies.

Research Engineer - London at Element AI
London, GB
We are putting together a world-class research and development team to build a platform enabling next generation AI-First businesses and advancing AI For Good. As a research engineer in machine learning you will enjoy a unique opportunity to use your creativity both to understand the latest fundamental research and to modify, extend and adapt it for real-world projects. You will face diversified challenges and you may end up working on time-series, images, videos, control problems, etc. While doing so you will have access to the best hardware.

Our applied research agenda in London is focusing on “AI for Good”: leveraging AI to help solve global issues by empowering NGOs, intergovernmental entities, and local actors, helping them to tackle their real-world problems on real-world data. This means embracing noise and complexity, both at the data level and at the methodological level. You work will span a gamut from the real-world messy data wrangling to the most advanced methodology such as transfer learning, generative models, reinforcement learning, etc., with a focus on understanding quickly and experimenting even faster. You will collaborate closely both with software developers and with scientists, and will wield the tools of both. In particular, you'll get the opportunity to interact with world-class academics from our Faculty Fellowship program. These collaborations can often lead to publications in the most important journals and conferences.

Yet we take even more pride in finding the right tool for the job, being equally at ease with the full range of machine learning algorithms (from the most advanced GAN to the most down-to-earth k-means) as well as its engineering-intensive deployment for full scale use: solving the problems is what matters. You will be working hand in hand with people who have a real use for your tools. Forget “take the data and run”: we design through collaboration to make sure that what you develop has real impact.

You have experience in machine learning, either through graduate studies or industrial R&D projects. You're also a solid programmer and you're comfortable doing scientific programming as well as product development. You can understand and implement techniques exposed in academic papers in your field.

You want to join us because you are passionate about:

Applied research and applications of machine learning;
Performing the data audit and data quality control, and explaining it to partners and clients;
Exploring the wide variety of contexts and situations in which ML can be applied;
Working with huge datasets and finding unexpected signal in them;
Using and discovering the best tools to build working prototypes of AI services;
Writing high-quality production code and continuously learning the best practices to turn research into delightful products;
Building strong collaborative relationship with scientists, software developers, and program directors product managers;
Staying up-to-date on the scientific literature in your field, and even contributing to it by publishing in famous research journals and conferences.
We want you to join us because you have:

A getting-things-done mindset with a desire not only to push the boundary of fundamental knowledge, but to turn it into products people love;
A Ph.D or M.Sc. in machine learning or a quantitative field and at least 1 year of industrial R&D experience;
Experience and mastery of scientific programming and libraries relevant to your field, for example: PyTorch, TensorFlow​, NumPy, Pandas, R, etc.;
Experience with at least one of the following programming languages, preferably for the development of production code: Python, C++, Scala, Go, C#, F# , JavaScript, Java, etc.;
An open mind and a desire to learn the best language/technology to solve a given problem;
Experience working in a diverse team;
A history of shipping high-quality code using cutting-edge techniques.

The seniority of the candidate will be established through the interview process. A more experienced candidate could evolve into a leadership position as we grow the team.

What we offer for your valuable work:

Highly dynamic, innovative, passionate, intrapreneurial team;
Open and inclusive company culture;
Worldwide competitive salary;
Participation in the company success through the Employee Stock Option Plan;
Participation in company employee benefits program;
Flexible hours (outside of core hours);
Autonomous, self-managed Agile teams.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.