AI Research/Machine Learning Engineer - Agent Products

Perplexity AI; San Francisco (CA); Hybrid; USD 200,000 - 280,000; Full time

Job summary

An innovative firm is seeking a seasoned expert in deep learning and large-scale LLMs to design cutting-edge production systems for autonomous agents. This role involves collaboration with diverse stakeholders to enhance product solutions across various research verticals. With significant growth and funding, the company is poised to revolutionize the AI landscape. Join a dynamic team that values ownership and creativity in developing exceptional user experiences. If you're passionate about AI and eager to make a significant impact, this opportunity is perfect for you.

Benefits

Comprehensive health insurance

Dental insurance

Vision insurance

401(k) plan

Equity options

Qualifications

• 5+ years of deep learning research experience required.
• Proven experience with large-scale LLMs and deep learning systems.

Responsibilities

• Design production systems for LLM-powered agents to answer user prompts.
• Collaborate with teams to enhance model capabilities and product solutions.

Skills

Deep Learning

Large-scale LLMs

Post-Training Techniques

Supervised Learning

Reinforcement Learning

Consumer Product Intuition

Model Architecture

Education

PhD in Computer Science or related field

Master's in Data Science or related field

Job description

Responsibilities

• Design a production and training system that enables an autonomous LLM-powered agent to utilize various tools across web browsing, retrieval, code execution, and more to answer open-ended user prompts with high-quality responses and citations.
• Collaborate with the Core Research & Post-Training Team to enhance the expansion, reformulation, querying, and summarization capabilities of our models against Perplexity’s retrieval index.
• Improve the speed and quality of our codebase and engineering processes to ensure consistent delivery of an excellent product experience.
• Work with Perplexity GTM leaders and various stakeholders (e.g., Motorola, TripAdvisor) to develop integrated product solutions across research verticals like Travel and Retail.

Qualifications

• Proven research experience with large-scale LLMs and Deep Learning systems.
• Strong Post-Training skills, including familiarity with supervised and reinforcement learning techniques, reward formulation, and evaluation.
• Good consumer product intuition for Agent products, with a willingness to unblock oneself at any level of the stack and take ownership of the end-user experience.
• Ability to make tradeoffs in developing end-to-end agents, including training techniques, model architecture, and prompting.
• Minimum of 5 years of relevant deep learning research experience.

The cash compensation range for this role is $200,000 - $280,000.

At Perplexity, we've experienced tremendous growth since launching the world's first fully functional conversational answer engine in 2022. Our daily questions answered have increased from 2.5 million to around 20 million by December 2024. We serve clients like Nvidia, the Cleveland Cavaliers, Bridgewater, and Zoom with our Perplexity Enterprise Pro product.

Supported by significant funding from top investors such as IVP, NEA, Jeff Bezos, NVIDIA, Databricks, and others, our team has grown nearly 300% in 2024. We are just getting started.

Final offer amounts are based on experience and expertise and may vary from listed ranges.

Equity: In addition to base salary, equity may be included in the total compensation.

Benefits: Comprehensive health, dental, and vision insurance, plus a 401(k) plan.

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