Machine Learning Scientist

Skills

About the Role

You will architect and ship autonomous voice and digital agents that handle millions of customer interactions. You will own end-to-end agent systems from core models through multi-channel orchestration, designing solutions that work reliably with poor connectivity and limited training data. You will take models from prototype to production and care deeply about reliability, performance, and scalability. You will collaborate with product and engineering leaders and operate ML infrastructure for large datasets and complex pipelines.

Requirements

• 5 years of ML experience
• Strong proficiency in Python and common ML libraries
• Solid theoretical foundation in statistics and machine learning
• Experience working with voice agents
• Proven hands-on experience building with LLMs or NLP systems including prompt engineering, RAG, embeddings, and fine-tuning
• Experience taking ML models from prototype to production with attention to reliability, performance, and scalability
• Fluent in English

Responsibilities

• Architect and ship autonomous voice and digital agents that power 10M+ customer interactions per month
• Own end-to-end agent systems from core models through multi-channel orchestration
• Design and implement solutions that work reliably with poor connectivity, low literacy, and limited language training data
• Take ML models from prototype to production and ensure reliability, performance, and scalability
• Collaborate with product and engineering leaders from problem discovery to running in production
• Build and maintain scalable ML pipelines and infrastructure including distributed training, feature stores, and monitoring

Benefits

• Yearly $1,200 coworking stipend
• Generous equity package
• Subsidized health insurance for you and your dependents
• Retirement contributions
• 6 months fully paid parental leave
• Subsidized fertility assistance
• Flexible vacation (most take 21-30 days)
• $10,000 annual charitable donation matching