AI Research Scientist - Post Training

Up Closets of North Cincinnati; San Francisco (CA); Hybrid; USD 220,000 - 290,000; Full time

Job summary

An innovative firm is on the lookout for experienced AI Research Scientists to enhance their cutting-edge LLMs. In this exciting role, you will transform research ideas into algorithms, conduct experiments, and launch new models while keeping abreast of the latest advancements in the field. The company has seen remarkable growth and is backed by prominent investors, providing a dynamic environment where your contributions can significantly impact the future of AI technology. If you are passionate about tackling complex challenges and eager to make a difference, this opportunity is perfect for you.

Benefits

Comprehensive health insurance

Dental insurance

Vision insurance

401(k) plan

Equity options

Qualifications

• Minimum of 6 years of experience in relevant projects.
• Proven experience with LLM research and Deep Learning systems.

Responsibilities

• Understand and implement the latest models and algorithms.
• Invent improvements and optimizations for SOTA models.
• Work with engineering teams to integrate models into products.

Skills

LLM research

Deep Learning systems

Programming skills

Problem-solving

Self-starter

Education

PhD in Machine Learning or related areas

Job description

Perplexity is seeking experienced AI Research Scientists to continue to improve our in house Online LLMs, the Sonar models. Your job is to turn research ideas into algorithms and implement them, running experiments and launching new models, and staying on top of the latest research on LLMs, especially model training and optimization.

Responsibilities

• Understand the newest models and algorithms coming every week, especially in post-training.
• Invent in-house improvements and optimizations to enhance SOTA models.
• Post-train LLMs on query answering by using the latest in supervised and reinforcement learning techniques.
• Work closely with engineering teams to integrate Sonar models into our product.

Qualifications

• Proven experience with LLM research and Deep Learning systems.
• Strong programming skills; versatility is a plus.
• Self-starter with a willingness to take ownership of tasks.
• Passion for tackling challenging problems.
• Minimum of 6 years of working on relevant projects.

Nice-to-have

• PhD in Machine Learning or related areas.
• Experience in academia publications and impact.

The cash compensation range for this role is $220,000 - $290,000.

At Perplexity, we've experienced tremendous growth and adoption since publicly launching the world's first fully functional conversational answer engine in 2022. We've grown from answering 2.5 million questions per day at the start of 2024 to around 20 million daily queries in December 2024. We also offer Perplexity Enterprise Pro, which counts leading companies like Nvidia, the Cleveland Cavaliers, Bridgewater, and Zoom as customers.

To support our rapid expansion, we've raised significant funding from some of the most respected technology investors. Our investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Daniel Gross, Naval Ravikant, Tobi Lutke, and many other visionary individuals. In 2024, our employee base grew nearly 300%, and we're just getting started.

Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.

Equity: In addition to the base salary, equity is part of the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

Apply for this job

* indicates a required field

First Name *

Last Name *

Email *

Phone *

Resume/CV *

Website

LinkedIn Profile

Will you now or in the future require visa sponsorship for employment? * Select...

Are you open to a hybrid work schedule (In office M-W-F) * Select...

Are you located in the San Francisco Bay? * Select...

If you do not live in the San Francisco Bay Area, are you willing to relocate? Select...