1 month ago
Responsibilities
- Tackle unsolved applied AI and ML problems in post-training, voice AI, and long-horizon task execution.
- Determine when to build specialized models versus using externally provided frontier intelligence while balancing quality, speed, and cost.
- Translate ambiguous product and customer problems into well-framed machine learning problems.
- Develop, fine-tune, evaluate, and deploy models that improve customer-facing AI agents.
- Advance supervised fine-tuning, reinforcement learning, and long-horizon optimization approaches.
- Build rigorous evaluations connecting model performance to real-world agent quality.
- Work with large-scale proprietary datasets spanning text and audio interactions.
- Collaborate across Sierra to move ideas from experimentation through production deployment and customer impact.
Requirements
- Strong experience building and deploying production machine learning and AI systems.
- Experience working deeply with data, experimentation, evaluation, and model iteration.
- Strong judgment in framing product problems as ML tasks and selecting effective approaches.
- Ability to work with high agency and across the stack when needed to deliver outcomes.
- Degree in computer science, machine learning, or a related field, or equivalent professional experience.
- Preferred experience with supervised fine-tuning or reinforcement learning.
- Preferred experience in search, ranking, recommendations, advertising, or high-volume ML products.
- Preferred experience training and deploying language, speech, or multimodal models.
- Preferred experience designing model evaluations tied to real-world product outcomes.
- Contributions to applied ML research or benchmarks are preferred.
Benefits
- Flexible unlimited paid time off.
- Medical, dental, and vision benefits for employees and families.
- Life insurance, disability benefits, and a retirement plan dependent on country of employment.
- Parental leave and fertility and family-building benefits through Carrot.
- Lunch, snacks, coffee, and a discretionary benefit stipend.
- Free alphorn lessons.
- Equity plans are available to eligible full-time employees.
- Primarily in-person work based in San Francisco, with offices across North America, Europe, and Asia.
Categories
About Sierra
Sierra builds an enterprise conversational AI platform that powers customer service and other customer-facing interactions for large organizations. The company sells SaaS and deployed solutions that integrate with enterprise systems and meet security and compliance requirements. Headquartered in San Francisco with offices across North America, Europe, and Asia-Pacific, Sierra was co-founded by Bret Taylor and Clay Bavor, longtime leaders at Salesforce, Facebook, and Google.