AI Research Scientist - Post Training - SF or Palo Alto

ZipRecruiter; San Francisco (CA); On-site; USD 220,000 - 290,000; Full time

Job summary

An innovative company is on the lookout for experienced AI Research Scientists to enhance their cutting-edge LLMs. This role involves transforming research ideas into actionable algorithms, implementing them, and launching new models. You'll work closely with engineering teams to ensure seamless integration of advanced models into products. With significant growth and backing from top investors, this is a unique opportunity to contribute to a rapidly evolving field. If you're passionate about AI and eager to tackle complex challenges, this position is perfect for you.

Benefits

Comprehensive health insurance

Dental insurance

Vision insurance

401(k) plan

Equity options

Qualifications

• Minimum of 6 years of relevant project experience in AI and LLMs.
• Strong programming skills and a passion for solving challenging problems.

Responsibilities

• Develop in-house improvements to advance state-of-the-art models.
• Collaborate with engineering teams to integrate models into products.

Skills

LLM research

Deep learning systems

Programming skills

Problem-solving

Education

PhD in Machine Learning

Job description

Job Description

Perplexity is seeking experienced AI Research Scientists to improve our in-house Online LLMs, the Sonar models. Your role involves turning research ideas into algorithms, implementing them, running experiments, launching new models, and staying updated on the latest research in LLMs, particularly in model training and optimization.

Responsibilities

• Understand the latest models and algorithms, especially in post-training, updated weekly.
• Develop in-house improvements and optimizations to advance SOTA models.
• Post-train LLMs for query answering using the latest supervised and reinforcement learning techniques.
• Collaborate closely with engineering teams to integrate Sonar models into our products.

Qualifications

• Proven experience in LLM research and deep learning systems.
• Strong programming skills; versatility is a plus.
• Self-motivated with a willingness to take ownership of tasks.
• Passion for solving challenging problems.
• Minimum of 6 years of relevant project experience.

Nice-to-have

• PhD in Machine Learning or related fields.
• Publication record and impact in academia.

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

At Perplexity, we've experienced tremendous growth since launching the world's first fully functional conversational answer engine in 2022. Our daily question answering volume increased from 2.5 million at the start of 2024 to around 20 million in December 2024. We also offer Perplexity Enterprise Pro, serving clients like Nvidia, the Cleveland Cavaliers, Bridgewater, and Zoom.

To support our expansion, we've secured significant funding from top investors including IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Daniel Gross, Naval Ravikant, Tobi Lutke, among others. Our team grew nearly 300% in 2024, and we're just getting started.

Final offer amounts depend on experience and expertise and may differ from listed ranges.

Equity may be included as part of the total compensation package, in addition to base salary.
Benefits include comprehensive health, dental, and vision insurance for you and your dependents, along with a 401(k) plan.