12 days ago
Base Salary
$205k - $270k/yr
Responsibilities
- Design, train, evaluate, and deploy machine learning systems for real-time voice experiences.
- Improve voice AI system quality through error analysis and iterative model improvement.
- Build evaluation frameworks for measuring system performance metrics.
- Diagnose and mitigate failure modes across the voice stack.
- Design and optimize low-latency ML workflows for live conversations.
- Partner with engineers to productionize real-time inference and quality monitoring.
- Collaborate with cross-functional teams to integrate voice intelligence into the platform.
- Establish best practices for evaluation and ongoing quality monitoring.
- Mentor engineers and contribute to the technical strategy.
Requirements
- Bachelor’s degree in Computer Science, Mathematics, Machine Learning, AI, or a related field; Master’s or Ph.D. preferred.
- 5+ years of experience in building and deploying machine learning systems in production.
- Strong background in speech recognition, speech processing, NLP, or conversational AI.
- Deep experience with model evaluation, benchmarking, and quality improvement.
- Expertise with modern ML frameworks like PyTorch and TensorFlow.
- Solid understanding of transformer-based models and large-scale workflows.
- Experience designing real-time ML systems with latency and scalability requirements.
- Ability to work across research and engineering boundaries.
- Strong communication and technical leadership skills.
Benefits
- Comprehensive medical, dental, and vision coverage.
- Flexible PTO for personal time off.
- Paid parental leave for new parents.
- Retirement savings plan.
- Remote work setup budget.
- Monthly wellness and communication stipend.
- In-office meal program and commuter benefits for onsite employees.
Tech Stack
PyTorchTensorFlow
Categories
AI & MLData Science