Career Opportunities
Open Positions
We are looking for a proactive and results-driven Partnerships Associate with a passion for forging strategic partnerships in the AI/Tech space. This is an opportunity to join Atinary’s talented team to shape a future where AI is at the core of the R&D landscape! This role is pivotal in expanding our market reach and establishing long-term relationships with key industry players, research institutions, and technology providers globally. We don’t expect you to have a background in everything we do, but we do expect strong business development foundations and a passion for technology and innovation.
We are seeking an experienced and motivated Synthetic Chemist in our new self-driving lab in Boston, which is poised to revolutionize the R&D landscape and set new standards. Focused on small molecule synthesis, automation and artificial intelligence (machine learning) for chemistry, this cutting-edge lab will be fully automated and integrated with Atinary’s no-code AI platform –SDLabs– to drive autonomous experimentation, allowing us to push the boundaries of chemical innovation.
We are seeking an experienced Lead AI Scientist to work closely with our multi-disciplinary team to define and drive Atinary’s research agenda. While this is a leadership role for a scientist with a strong track record in machine learning—shaping strategy, guiding the team, and translating state-of-the-art methods into real-world impact—it is also a hands-on position. You will actively develop code, contribute to the core codebase, and advance algorithm development, in addition to mentoring colleagues, scaling our research group, and representing Atinary in the global ML community.
Are you a passionate DevOps Engineer looking to make an impact in a dynamic and fast-paced environment? Then join Atinary Technologies (Lausanne, Switzerland) and its talented team to shape a future where AI is at the core of the R&D landscape! SDLabs, our main product, is an end-to-end software suite that uses machine learning to optimize processes and accelerate materials discovery.
