Research Scientist
About the role
You will answer the question: how to train and scale a model that can serve a web index. You will have deep intuition on modern models and training, like to argue how search, recommendations, and transformer models can converge, and care about your research being applied to product and systems that millions use.
About Parallel
Parallel is a web infrastructure company. Our products are used by leading businesses in sales, marketing, insurance, and coding to build best-in-class AI agents with flexible and powerful programmatic access to the web. We've raised $230 million from Kleiner Perkins, Sequoia, Index Ventures, Spark Capital, Khosla Ventures, First Round, and Terrain to build the web for AIs. We're currently valued at $2 billion and we're forming a world-class team of engineers, designers, marketers, sellers, researchers, and operational experts to achieve our mission.
Responsibilities
- Answer the question: how to train and scale a model that can serve a web index.
- Have deep intuition on modern models and training.
- Like to argue how search, recommendations, and transformer models can converge.
- Care about your research being applied to product and systems that millions use.
Requirements
- Experience with machine learning and deep learning techniques.
- Strong understanding of natural language processing and computer vision.
- Ability to work independently and as part of a team.
- Excellent communication skills.
Qualifications
- Ph.D. in Computer Science, Machine Learning, or related field.
- Relevant industry experience preferred.
Skills
- Deep understanding of modern models and training.
- Experience with search, recommendation, and transformer models.
- Strong problem-solving and analytical skills.
Benefits
- Competitive salary
- Generous equity
- Visa sponsorships
- 401K plans
- Daily lunch & office snacks
- Dinner at the office
- Unlimited vacation
- Caltrain pass reimbursement
Pay
Compensation Range: $150K - $300K
Schedule
Full-time, remote option available