1 year ago
Palo Alto, CA, USASenior
Base Salary
$170k - $234k/yr
Responsibilities
- Evaluate, adapt, and develop state-of-the-art language and multimodal foundation models for enterprise applications.
- Perform empirical analysis, develop production-ready code, and fine-tune enterprise-grade LLMs and multimodal models.
- Integrate models with company products and tools while incorporating enterprise customer feedback.
- Design data annotation guidelines and processes and collaborate on preprocessing, data consumption, and automated or manual annotation.
- Evaluate product and algorithm performance, develop evaluation paradigms, and compare increasingly complex approaches.
- Collaborate across teams to deliver AI services for critical projects.
- Manage large datasets, resolve data-quality issues, and interpret data in support of business goals.
- Document work plans, project evolution, and results and assess relevant research publications.
- Lead projects independently and mentor and guide team members.
Requirements
- Master's degree in Computer Science, Engineering, or a related field plus at least five years of relevant experience, or a bachelor's degree in Computer Science, Engineering, or a related field plus at least seven years of relevant experience.
- At least five years of industry experience in artificial intelligence, NLP, vision, or ASR.
- In-depth deep-learning knowledge with expertise in PyTorch or TensorFlow.
- Strong understanding of Transformers and hands-on experience with the Hugging Face library.
- Experience solving NLP and ASR problems using LLMs.
- Experience with large datasets, data-quality issues, and business-focused data interpretation.
- Expertise in Python and production-ready, scalable software development.
- Ability to lead projects independently and mentor and guide team members.
- Knowledge of deployment using Docker, AWS, or Kubernetes.
- Strong communication skills and a track record of delivery under tight deadlines.
Benefits
- Competitive base pay of $169,800-$233,500 for the primary Palo Alto, California location.
- Annual incentive opportunity based on target achievement and pre-IPO stock options.
- Medical, dental, vision, and 401(k) with match benefits.
- Generous paid time off, paid holidays, a paid birthday day off, and other paid leave policies.
- Work location preference is USA - CA - Palo Alto.
Tech Stack
Categories
About Uniphore
Uniphore builds an enterprise Business AI Cloud that powers multimodal, agentic applications across voice, video, and text for customer-facing operations. Its products span speech recognition/analytics, AI agents, orchestration, and workflow automation delivered as B2B software and services to large enterprises in multiple industries. Founded in 2008 and headquartered in Palo Alto, the company is privately held and operates globally.