2 days ago
Palo Alto, CA, USAMid Level
Responsibilities
- Understand client needs and translate requests into clear problems, practical scopes, and success criteria.
- Fine-tune and post-train generative AI models, prepare examples and evaluation criteria, diagnose gaps, and verify improvements.
- Build supporting workflows by connecting APIs, tools, and processing steps into usable deployment-ready solutions.
- Iterate with clients through short feedback cycles while balancing quality, complexity, cost, and delivery speed.
- Explain technical options and limitations clearly, manage expectations, and maintain strong client relationships.
- Own day-to-day execution, coordinate with teammates, and escalate risks or blockers early.
- Support deployment with evaluation results, reproducible workflows, and handoff documentation.
- Demonstrate solution value, address technical concerns, and help convert successful work into client engagements and revenue.
Requirements
- Hands-on experience fine-tuning or post-training generative AI models and diagnosing and evaluating model behavior.
- Strong coding and practical machine learning skills, including implementing experiments, working with data, debugging model pipelines, and building workflows.
- Excellent listening, communication, professional judgment, reliability, service orientation, and ownership.
- Ability to work independently and collaboratively in fast feedback cycles while connecting technical decisions to client and commercial value.
- Prior professional experience in a similar client-facing AI or ML role is strongly preferred.
- Preferred experience delivering AI solutions for external clients, using LoRA or other parameter-efficient adaptation methods, building evaluation pipelines or API integrations, and participating in customer demos, pilots, or paid projects.
Benefits
- Full-time role with hands-on client-facing work and end-to-end applied AI delivery responsibilities.
Categories
Forward Deployed
About Pika
Pika builds an AI-powered idea-to-video platform that generates and edits short videos from text, images, or rough clips for creators and teams. The company develops its own generative video models and offers a web app used for storytelling, social content, and design workflows. Founded in 2023 and based in Palo Alto, it is a privately held startup in the generative video space.