Staff Machine Learning Engineer - Uber AI Solutions

What you'll do

• Build and operate ML and backend systems that become customer-facing products.
• Own a product vertical from identifying opportunities and setting direction through delivery and business results.
• Partner with customers, product managers, and engineers to grow accounts and raise execution quality.

What they ask for

• Bachelor's or equivalent work experience in Computer Science, Machine Learning, Engineering, Mathematics, or a related discipline.
• 5+ years designing, building, and operating production ML systems, including backend engineering from data to serving.
• Track record of owning a product or product line and driving business impact, such as revenue, adoption, or customer value.
• Fluency in Python and a production systems language such as Go, Java, or C++, and ability to build and operate reliable services.

Nice to have

• Master's or PhD in a related discipline.
• Experience growing a product or business line in a startup-like environment; applied ML in data or evaluation domains; production GenAI/LLM systems; or expertise in UAIS domains.

Pay

USD $232,000 per year - USD $258,000 per year (base salary; San Francisco, CA); USD $232,000 per year - USD $258,000 per year (base salary; Sunnyvale, CA)

Tools

Python, Go, Java, C++, GenAI, LLM, ASR, LiDAR

AI focus

Develop ML systems and data/evaluation infrastructure across modalities; preferred work includes production GenAI/LLM systems, model evaluation and tuning, ASR, agentic evaluation, and physical-world or multimodal data.