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: Re note 1, we will also support relocation to Germany for this job.

About The Role & Requirements

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 may include

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

Closing remarks:

We see a very high amount of applications, so please read this offer thoroughly, and only apply if you feel well qualified. Due to organizational reasons, we can only accept applicants residing in Germany.

Hyde

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