Applied AI Researcher: Chai Research
Jul 19, 2025 |
Location: Palo Alto, California (On-site) |
Deadline: Aug 8, 2025
Salary: $350,000 - $650,000 USD per year (plus equity)
Chai Research, founded by a team of ex-quant traders and researchers from Cambridge, is the fastest-growing AI startup in Palo Alto, serving over 5 trillion tokens per month to 5 million users. They are seeking an Applied AI Researcher to run, optimize, and improve their core AI platform.
This is a high-impact, results-oriented role where you will be directly responsible for tasks leading to a significant (50%) improvement in platform-wide user retention. You will also have the freedom to develop creative new monetization strategies. This position is ideal for a driven individual who is comfortable with high-velocity environments and making decisions that shape the company's future.
Key Responsibilities:
Run, optimize, and improve the core AI platform with the primary goal of increasing 30-day user retention.
Take ownership of tasks and projects that will directly contribute to a 50% improvement in platform retention metrics.
Conceive and implement creative new monetization strategies for the platform.
Identify bottlenecks in the ML development cycle and focus on increasing iteration speed.
Qualifications & Experience:
An established track record of delivering results that have a significant business impact.
A deep understanding of the full machine learning development cycle.
Must be goal-oriented, driven, and comfortable with being given a goal and having the autonomy to achieve it.
Proficiency in Python and deep learning frameworks like TensorFlow or PyTorch.
Note: The company is happy to sponsor visas for the right candidates.
Why Join Chai Research?
Exponential Growth: Be part of the core team that takes the platform from 1 million to 100 million monthly active users.
Craftsmanship: Have the opportunity to build something beautiful and impactful.
High-Impact Role: You will be responsible and accountable for making high-impact decisions that determine the company's future.
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