The posting, in Pika's own words
archived Nov 10, 2026About the role
At Pika, we're looking for a technically strong, client-facing AI researcher who can turn customer feedback into models and workflows that solve real business needs. You'll work directly with clients to understand what they want to achieve, identify where current model outputs fall short, and fine-tune or post-train models for their use cases. When the solution calls for more than model adaptation, you'll build the supporting workflow. This is a full-time, hands-on, revenue-driven applied research role. Clear communication, professional client service, reliable delivery, and independent execution matter as much as technical ability. You'll help clients get value quickly, build their confidence in working with Pika, and help turn successful technical work into closed engagements and ongoing business.
What you'll do
Understand the client's needs. Listen carefully, ask focused questions, and translate requests and feedback into a clear problem, practical scope, and agreed success criteria. Adapt models for real use cases. Fine-tune and post-train models to address client needs. Prepare relevant examples and evaluation criteria, diagnose gaps, and verify that each iteration improves the outcomes the client cares about. Build the complete solution. Create or adapt workflows around models when needed, connecting APIs, tools, and processing steps into a usable solution that fits the client's deployment needs. Iterate quickly with clients. Share working results early, gather specific feedback, and make focused improvements in short cycles. Balance quality, complexity, cost, and delivery speed to keep projects moving. Communicate professionally. Explain technical options and limitations clearly, set realistic expectations, respond thoughtfully to requests, and keep clients informed about progress and next steps. Build a relationship that makes them want to continue working with Pika. Own execution and coordinate with the team. Drive day-to-day work with independence while keeping teammates aligned on requirements, priorities, progress, and blockers. Ask for input or escalate risks early when needed. Deliver for deployment. Help move successful experiments into usable deployments, with clear evaluation results, reproducible workflows, and the documentation needed for handoff. Help close client engagements. Demonstrate the solution's value, address technical concerns, and work with the team to turn successful iterations into client commitments and revenue.