Senior Machine Learning Engineer (ML Training Infrastructure)

Location: Sunnyvale, California, United States; hybrid attendance at least 3 times per week. Travel required up to 25%; relocation benefits may be available.

Salary: $170,000–$240,800 per year, plus potential incentive compensation.

Company

hirify.global develops automotive technologies focused on safer, cleaner, and more equitable transportation.

What you will do

• Design and develop scalable, reliable, high-performance ML training frameworks.
• Improve system observability, debuggability, operational excellence, and user experience.
• Analyze and optimize model-training performance across distributed workflows and heterogeneous hardware.
• Maximize resource utilization and reduce infrastructure costs.
• Collaborate with machine learning engineers, research scientists, and cross-functional partners to integrate platform features and technologies.

Requirements

• Bachelor’s degree or higher in Computer Science or an equivalent field, or equivalent relevant experience.
• 5+ years of professional software engineering experience.
• 1+ years of specialized experience in AI/ML infrastructure and distributed training for large models.
• Strong Python programming skills and proficiency with PyTorch, TensorFlow, or a similar framework.
• Experience with distributed computing, GPU computing, and cloud environments such as AWS, GCP, or Azure.
• Ability to report to the Sunnyvale location at least 3 times per week and willingness to travel as needed.

Nice to have

• Extensive experience with PyTorch 2.x+ and distributed training frameworks.
• Experience designing training frameworks supporting FSDP, pipeline parallelism, and other scalable approaches for foundational models.
• Experience profiling, debugging, and optimizing training and data-loading performance.
• Strong communication skills for consensus building, risk communication, and constructive feedback.

Culture & Benefits

• Medical, dental, and vision benefits.
• Health Savings Account and Flexible Spending Accounts.
• Retirement savings plan, life insurance, and sickness and accident benefits.
• Paid vacation and holidays, tuition assistance, and an employee assistance program.
• GM vehicle discounts and potential performance-based incentive pay.

Hiring process

• Applicants may complete role-related assessments and pre-employment screening where applicable.