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.

Software Engineer at Element AI
London, GB

At ElementAI 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.

Our applied research agenda in London focuses on working with humanitarian, environmental, societal projects and products for NGOs and nonprofits, providing the tech capacity and AI expertise to help solve some of the biggest worldwide issues those organisations face - such as human rights violation.We do so by helping them to tackle their real-world problems on real-world data, turning finding into products they love.

We take 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.

As a Software Engineer at ElementAI, 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.

In this role, 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. You will also 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 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;
  • Tackling some of the biggest issues in the world and making an impact
  • Joining a fast paced and collaborative start up environment
  • Working with huge datasets and finding unexpected signal in them;
  • Using and discovering the best tools to build working prototypes of AI services;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, M.Sc. or B.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.;

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;
  • Opportunity to interact with world-class academics from our Faculty Fellowship program
  • Access to cutting edge research
  • Flexible hours (outside of core hours);
  • Autonomous, self-managed Agile teams.

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.

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.