Senior Machine Learning Engineer Jobs in USA 2026
Artificial Intelligence continues to reshape how businesses operate, and voice AI is becoming one of the fastest-growing segments in the industry. This Senior Machine Learning Engineer opportunity with Retell AI is designed for experienced ML professionals seeking to build production-scale AI systems, work on real-world machine learning challenges, and contribute directly to the future of intelligent customer experience platforms.
About the Role
Retell AI is recruiting a Senior Machine Learning Engineer to help develop and scale advanced voice AI systems powering customer support, sales, and logistics interactions. This role focuses on training, evaluating, deploying, and optimizing machine learning models that operate in real-time production environments.
Engineers in this position will work across the machine learning lifecycle while collaborating closely with product and engineering teams to create reliable, high-performance AI systems at scale.
About the Organisation
Retell AI is a rapidly growing AI company focused on transforming contact centers through voice-based artificial intelligence. Backed by leading investors and serving thousands of businesses, the company is building intelligent AI-powered customer experience platforms that automate and continuously improve communication workflows.
The organisation emphasizes innovation, rapid execution, technical ownership, and building scalable systems that redefine how customer interactions are managed.
Job Duties
- Train and fine-tune large language models and audio models for production deployment.
- Develop and optimize machine learning pipelines for real-time voice AI applications.
- Build benchmarking datasets and evaluation frameworks to measure model performance.
- Deploy machine learning models into production environments and monitor ongoing performance.
- Create human evaluation pipelines to gather structured feedback for model improvements.
- Design and maintain machine learning infrastructure for experimentation and deployment.
- Collaborate with software engineering teams to integrate AI capabilities into production systems.
- Support continuous improvement of model accuracy, latency, and scalability.
- Contribute to technical strategy and machine learning architecture decisions.
- Participate in cross-functional collaboration to enhance AI product capabilities.
Job Requirements
- Strong experience building, training, and deploying machine learning models into production environments.
- Proficiency in Python, PyTorch, and modern machine learning development frameworks.
- Experience working with model training pipelines, evaluation systems, and deployment workflows.
- Ability to optimize machine learning systems for performance and scalability.
- Strong understanding of machine learning experimentation and benchmarking methods.
- Excellent problem-solving skills and ability to work independently.
- Strong communication and collaboration abilities across technical teams.
- Ability to thrive in fast-paced startup environments.
- Experience working with Large Language Models (LLMs) or audio-based AI models.
- Knowledge of production AI infrastructure and deployment pipelines.
- Experience building evaluation systems using human feedback methodologies.
- Understanding of real-time inference and latency-sensitive applications.
- Interest in scalable AI systems and customer experience technologies.
- Ability to take ownership of technical initiatives from concept through deployment.
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Conclusion
This Senior Machine Learning Engineer opportunity in the United States offers the chance to work at the forefront of voice AI innovation while contributing to high-impact production systems. It is well suited for experienced machine learning professionals seeking technical ownership, competitive compensation, visa sponsorship opportunities, and the ability to help shape the next generation of AI-powered customer experiences.
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