Sr. Distinguished Applied Researcher
$311,900–$356,000 year
On-siteNew York City, New York, United States
Job Summary
Partner with cross-functional teams of scientists, engineers, and product managers to deliver AI-powered platforms that reshape customer interactions with financial services. Build AI foundation models through all development phases, from design and training to evaluation, validation, and implementation. Engage in high-impact applied research to integrate emerging AI developments into next-generation customer experiences. Leverage technologies including Pytorch, AWS Ultraclusters, and Huggingface to extract insights from massive datasets. Translate technical complexity into tangible business goals while guiding a team of applied scientists and representing the organization in the external research community.
Required Qualifications
- PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research
- M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research
- Has a deep understanding of the foundations of AI methodologies
- Experience building large deep learning models, whether on language, images, events, or graphs
- Expertise in training optimization
- Expertise in self-supervised learning
- Expertise in robustness
- Expertise in explainability
- Expertise in RLHF
- An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes
- Experience in delivering libraries, platform level code or solution level code to existing products
- A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects
- Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects
Desired Qualifications
- PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
- LLM
- PhD focus on NLP or Masters with 10 years of industrial NLP research experience
- Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens)
- Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)
- Has worked on an LLM (open source or commercial) that is currently available for use
- Demonstrated ability to guide the technical direction of a large-scale model training team
- Experience working with 500+ node clusters of GPUs
- Has worked on LLM scaled to 70B parameters and 1T+ tokens
- Experience with common training optimization frameworks (deep speed, nemo)
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