Staff AI/ML Engineer

As a Staff AI/ML Engineer, you will define the Technology AI/ML engineering approach and solve complex model development, training infrastructure, and AI system reliability challenges. You will set domain standards for ML experimentation practices, model evaluation, responsible AI deployment, and GenAI system architecture, operating as the highest individual contributor in the AI/ML engineering discipline and influencing technical direction at an organizational level.

What You Will Do

Define the technical vision and strategy for AI/ML engineering platform spanning model development, training infrastructure, serving, evaluation, and governance. Solve complex AI/ML engineering challenges including large-scale training instability, serving reliability at massive scale, and novel model quality problems with no established playbook.

Why It Might Be a Fit

You will shape AI product strategy through deep technical expertise, develop the next generation of senior ML engineering leaders, and serve as a recognized authority both internally and in the broader AI/ML community.

Requirements

• Bachelor's or Master's degree in Computer Science, Machine Learning, or related technical field, or equivalent experience
• 9-12 years of AI/ML engineering experience defining AI/ML engineering strategy and establishing standards across the organization
• Demonstrated ability to set software engineering standards for complex AI/ML application development
• Demonstrated ability to set strategy for design and implementation of highly complex models with multiple AI/ML components
• Demonstrated ability to set MLOps strategy including CI/CD standards, serving platform architecture, and deployment practices
• Demonstrated ability to set GenAI engineering strategy including foundation model selection, fine-tuning infrastructure, and responsible AI standards
• Experience with common ML tools and frameworks and implementation such as Python, Spark, Airflow, MLFlow, feature stores, cloud ML platforms

Benefits

• Extended health and dental benefits
• Mental health plans
• Paid time off
• Savings and retirement plan matching
• Generous employee discount
• Fitness & yoga classes
• Parenthood top-up
• Extensive catalog of development course offerings
• People networks, mentorship programs, and leadership series