Director of Machine Learning

Hybrid/Remote - Europe (incl. UK)

Applications have closed

Axelera AI

A powerful, efficient, cost-effective, and user-friendly hardware and software AI platform to accelerate computer vision in edge devices.

View company page

About us Axelera AI revolutionizes the field of artificial intelligence by developing a cutting-edge hardware and software platform for accelerating computer vision on edge devices. Our platform, built using proprietary in-memory computing technology and RISC-V dataflow architecture, delivers industry-leading performance and usability at a fraction of the cost and energy consumption of current solutions. We are committed to advancing the frontiers of AI research and developing cutting-edge solutions that have a real-world impact.
Position OverviewWe are seeking a visionary Machine Learning Director to lead our Research and Development team. The ideal candidate will have a strong background in machine learning, deep learning, and AI, with a proven track record of leading successful R&D projects. Key Responsibilities:·      Lead and grow our R&D team in the development of innovative machine-learning models and algorithms.·      Collaborate with cross-functional teams to align R&D activities with business objectives.·      Drive the strategy and vision for AI research and development within the company.·      Stay abreast of the latest AI and machine learning trends and technologies.·      Foster a culture of innovation and continuous improvement in the team.
QualificationsWe are on the lookout for a distinguished professional with a PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline, who brings a wealth of expertise and knowledge to our team. The ideal candidate will have a minimum of at least 5-8 years of hands-on experience in the field of machine learning, with a significant portion of that time (at least 2-3 years) spent in a leadership capacity. They should possess an extensive understanding of a wide range of machine learning techniques, deep learning algorithms, and familiarity with various AI frameworks. A proven track record of successfully leading research and development projects from their initial concept through to full implementation is essential. This role demands strong leadership and team management skills, coupled with excellent abilities in communication and collaboration, to effectively guide our team towards groundbreaking innovations and success in our R&D endeavours.
Location  We offer a flexible working arrangement, with the option to work from or relocate near an Axelera AI office (Leuven in Belgium, Eindhoven in the Netherlands, Zurich in Switzerland, Milan and Florence in Italy, or Bristol in the United Kingdom) or work fully remotely from any European country.
What we offer  This is your chance to shape and be part of a dynamic, fast-growing, international organization. We offer an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares.  An open culture that supports creativity and continual innovation is awaiting you. Collaborative ownership and freedom with responsibility is characteristic for the way we act and work as a team.    At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. Our steadfast commitment is to cultivate a warm and inclusive environment that empowers and celebrates every member of our team. We welcome applicants from all backgrounds to join us in shaping the future of AI.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture Computer Science Computer Vision Dataflow Deep Learning Machine Learning PhD R R&D Research

Perks/benefits: Career development Equity Flex hours

Regions: Remote/Anywhere Europe

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.