Senior Machine Learning Engineer

Towards AI, Inc.; Los Altos (CA); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Toyota Research Institute is seeking a Senior Machine Learning Engineer for Los Altos, CA. This full-time, hybrid role sits in Operations Information Engineering and demands deep expertise in modern ML frameworks, production-grade deployment, and collaboration with researchers to translate complex requirements into scalable solutions.

The ideal candidate brings strong Python experience, proficiency with PyTorch or TensorFlow, and a track record of deploying multimodal ML systems in production on

Qualifications

• BS with 6–10 years of experience, MS with 5–9 years, PhD with 3–7 years, or 9–13 years of equivalent experience.
• Strong proficiency in PyTorch and/or TensorFlow, with hands-on experience building, fine-tuning, evaluating, and deploying large language models.
• Experience with multimodal data, including text and images, and understanding of associated data characteristics and pipeline requirements.
• Proven track record of deploying and maintaining machine learning systems in production environments, with experience using AWS services for machine learning workloads and strong Python fundamentals.
• Ability to consult effectively with researchers and translate technical requirements into actionable solutions.

Skills

PyTorch / TensorFlow

ML deployment

AWS ML services

Python

Multimodal data

Researcher collaboration

Education

BS/MS/PhD or equivalent experience

Job description

Toyota Research Institute – Senior Machine Learning Engineer – Los Altos, CA – Operations Information Engineering (Full‑time, Hybrid)

Required Qualifications and Skills

• BS with 6–10 years of experience, MS with 5–9 years, PhD with 3–7 years, or 9–13 years of equivalent experience.
• Strong proficiency in PyTorch and/or TensorFlow, with hands‑on experience building, fine‑tuning, evaluating, and deploying large language models.
• Experience with multimodal data, including text and images, and understanding of associated data characteristics and pipeline requirements.
• Proven track record of deploying and maintaining machine learning systems in production environments, with experience using AWS services for machine learning workloads and strong Python fundamentals.
• Ability to consult effectively with researchers and translate technical requirements into actionable solutions.