kadence · 3 hours ago
Senior Machine Learning Engineer
United States
Full-time
Remote
Senior LevelKadence is a fast-growing voice AI startup building human-like AI agents that handle sales, support, and logistics calls at scale. The Senior Machine Learning Engineer will own model performance from training to deployment, fine-tune models, and design evaluation datasets while collaborating closely with engineering teams.
Staffing & Recruiting
Hiring Manager
Hannah Twomey
Responsibilities
Own model performance end to end from training pipelines through post deployment monitoring in real world systems
Fine tune large language models and audio models for real time, production grade voice AI use cases
Design evaluation datasets, define rigorous metrics, and benchmark model performance across high impact tasks
Deploy models into latency sensitive, high traffic environments and ensure reliability at scale
Build systems to monitor live model performance, diagnose issues, and drive continuous improvements
Develop scalable pipelines for structured human evaluation and integrate feedback into model iteration
Partner closely with engineering to productionize models and improve inference speed and efficiency
Design and maintain ML infrastructure that enables rapid experimentation, robust training, and continuous deployment
Contribute to technical direction and ML strategy as an early member of a high ownership team
Qualification
Required
Proven experience training, shipping, and maintaining machine learning models in production environments
Strong proficiency in Python and modern ML frameworks such as PyTorch
Experience building training pipelines, evaluation frameworks, and performance benchmarks
Ability to balance research quality with practical production constraints
Preferred
Hands on experience with large language models, speech models, or audio related ML systems strongly preferred
Familiarity with deploying models in real time or latency sensitive systems is a major plus
Company
kadence
Kadence - We place elite AI talent at the intersection of science & engineering, from PHD to Executive.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase