Research Engineer, Artificial Intelligence (mid-senior)

At Hyde, we hold the fundamental tenet that public data is insipid, and consequently, AI models predicated upon it are equally unstimulating. In light of this, we have developed an infrastructure that delves into delicate and classified data to fuel Generative AI systems. This technological breakthrough enables us to assist enterprises in maintaining a competitive edge while simultaneously safeguarding the privacy of their clients. Our goal is to democratize AI for every company on the planet.

Setting
We are well-funded and are growing fast. Our supporters include the Oasis Protocol Foundation, the CISPA Helmholtz Center for Information Security, and the German Federal Ministry of Education and Research. Hyde is a young company, that is very open to your impact. Our culture is meritocratic, open, inclusive, and fast-paced.

Note 1: Due to organizational reasons, we can only accept applicants residing in the Germany.
Note 2: At this point, we do not cooperate with external headhunters, so please don't inquire on that matter.
Note 3: We support relocation to Germany.

About the role

• The ideal candidate will have a strong background in AI research and deployment, and a passion for solving complex, technical problems.
• Strong experience in AI research and development, ideally with a focus on privacy-preserving techniques
• Extensive knowledge in NLP, LLM architectures like transformers
• Excellent written and verbal communication skills
• You are proactive, driven, and creative
• You are good at collaboration and teamwork - many of our projects are large engineering efforts that involve most or all of the team
• Extraordinary qualifications, past research or Github profiles

You are a good fit

• You have a understanding of performance in HPC workloads, have worked with large GPU clusters
• Experience with scaling inference of LLMs
• You are able to solve both small, isolated problems like bugs in code, as well as grapple with large meta-level problems
• Our work is at the intersection of IT-Security, Law and ML, therefore it is beneficial to posses knowledge in adjacent domains
• You have knowledge in Privacy-Preserving Machine Learning approaches such as Trusted Execution Environments, Federated Learning, Homomorphic Encryption, Zero-Knowledge-Proofs or Secure Multiparty Computation.

Typical activities

• Conduct cutting-edge research in AI, with a focus on privacy-preserving techniques
• Design, train and optimize novel base models
• Conceive privacy-first schemes for LLM inference
• Fine-tune existing large-scale models to specific domains
• Solve deployment issues of large-scale models, like model parallelism
• Building large-scale datasets
• Implementing new models or techniques from research papers
• Contribute to strategical decisions of the company

Benefits

• Competitive salary and equity package
• Growth and development opportunities within the company
• Mainly remote setting, quarterly off-sites
• Extensive health and pension plan
• We provide meditation and fitness allowance