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Senior Research Scientist

Pinecone

Pinecone

New York, NY, USA · San Francisco, CA, USA · Remote
Posted on Saturday, March 30, 2024

About Pinecone

Pinecone is pioneering search and database technology to power AI/ML applications for the next decade and beyond. We provide customers with capabilities that until now have only been in the hands of a few tech giants.

If you’re excited about hard problems at the intersection of AI, machine learning, search engines, and databases, we would love to meet you! We are looking for collaborative scientists who move nimbly between research and production and dare to make an impact.
Our R&D team includes founders of multiple startups and world-class engineers and scientists including the core team that created Amazon SageMaker.

About the Role

As a Research Scientist, you will design, benchmark and implement high-performance algorithms and machine learning models, and work closely with the engineering team to bring your work to production. You will challenge and improve the state of the art in the field of vector search and information retrieval at large. You will also get the opportunity to publish at academic and technical conferences, and communicate with tech leads and customers.

You will work in a fast-paced and rewarding environment that demands the highest quality work with minimal supervision. And as we all do a little bit of everything, you will also be a strong generalist, work directly with customers, and mentor other engineers and scientists.

In this role, you will

  • Challenge and improve the state of the art on how LLMs interact with information.

  • Get the opportunity to publish at academic and technical conferences, and communicate with tech leads and customers.

  • Design benchmarks and evaluation metrics for knowledge intensive work tasks.

  • Work with embedding models, re-ranking models, and agentic search strategies to help find relevant information for natural language tasks.

  • Work in a fast-paced and rewarding environment that demands the highest quality work with minimal supervision. And as we all do a little bit of everything, you will also be a strong generalist, work directly with customers, and mentor other engineers and scientists.

Requirements

  • Ph.D. in Natural Language Processing, Machine Learning, Computer Science, Data Science, Mathematics or in related fields.

  • Proven research track record: publication of peer-reviewed results in top tier conferences such as NeurIPS, ICML, ACL, EMNLP, SIGIR, ICLR, etc.

  • Knowledge of one deep learning framework such as PyTorch or JAX.

  • Proven experience with large-scale LLMs and Deep Learning systems.

  • Strong experience in training and fine-tuning of large-scale deep-learning models.

Bonus Points

  • Experience with alignment using RLHF

  • Familiar with recent advances for LLMs

  • Experience in collaborating with engineering and product teams

Perks and Benefits:

  • Comprehensive health coverage including Medical, Dental, Vision

  • Free mental health therapy sessions; free One Medical, Tela-doc, and Health Advocate subscriptions

  • Cost-savings on gynecology, fertility, and family-building care

  • Equity award

  • 401(k)

  • Flexible time off

  • Paid parental leave

  • Annual Department Retreat

  • WFH Equipment Stipend

Diversity, Equity, Inclusion and Belonging (DEIB) are the cornerstone of everything we do at Pinecone. Studies have shown that women and people of color are less likely to apply for jobs unless they believe they meet every one of the qualifications in a job description. Our top priority is finding the best candidate for the job and if you are interested in the position, we would encourage you to apply, even if you don’t believe you meet every one of the qualifications listed in this posting. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.