Sr. Distinguished Applied Researcher
$311,900–$356,000 year
On-siteNew York, United States
Job Summary
Partner with cross-functional teams of data scientists, engineers, and product managers to deliver AI-powered platforms that transform customer interactions with financial services. Build and deploy AI foundation models through the full development lifecycle, from design and training to evaluation and implementation. Engage in high-impact applied research to integrate emerging AI developments into scalable customer experiences. Leverage a broad technical stack including Pytorch, AWS Ultraclusters, and Huggingface to extract insights from massive datasets. Translate complex technical work 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
- 6 years of experience in Applied Research
- M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields
- 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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