Senior Research Engineer, LLMs / Privacy
Remote Europe
Who we are
- 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, inclusive, and fast-paced. We enforce meditation for all our employees.
About the Role & Requirements
- We are seeking an experienced Research Engineer, NLP / Privacy to join our growing team
- 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
- Can bring up technical reality distortion fields
- If you are an expert in Privacy-Preserving Machine Learning
Benefits
- Generous equity as one of the first engineering hires
- Growth and development opportunities within the company
- Mainly remote setting, quarterly off-sites
- We provide Visa and relocation support to Germany for exceptional candidates if needed
- Extensive health and pension plan for EU residents
Typical activities may be
- 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
Last words
- The starting date for this opportunity is 01/06, latest 01/07
- We look forward to your application
Tags: Architecture Engineering Generative AI GitHub GPU HPC LLMs Machine Learning Model inference NLP Privacy Research Security Transformers
Perks/benefits: Career development Health care Relocation support Startup environment Team events
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