Senior ML Engineer, Marketplace Pricing & Optimization

Uber; San Francisco (CA); On-site; USD 202,000 - 224,000; Full time

Benefits offered by this job

Bonus program

Equity

401(k)

Benefits

Job summary

Uber Freight is hiring a highly motivated Machine Learning Engineer to own end-to-end ML models in the UF marketplace, including cost prediction and demand elasticity. You will collaborate with backend engineers to productionize models and ensure they perform as expected.

We value expertise in modern ML frameworks (PyTorch), with at least 4+ years of experience and a CS/CE degree. This role offers strong growth, equity, and a competitive salary in San Francisco.

Qualifications

• 4+ years of experience developing ML models to solve business problem.
• Bachelor's degree in Computer Science, Computer Engineering, or related fields.
• Familiar with modern AI/ML frameworks (e.g., PyTorch).

Responsibilities

• This role requires end to end ownership for the ML models in UF marketplace (cost prediction, booking probability, demand elasticity, etc.).
• You will work with backend engineers to productionize models and ensure they work as expected.

Skills

ML model development

Bachelor's degree in CS/CE

PyTorch

Education

Bachelor's degree in Computer Science or related field

Job description

Uber Freight is hiring a highly motivated Machine Learning Engineer to own end-to-end ML models in the UF marketplace, including cost prediction and demand elasticity. You will collaborate with backend engineers to productionize models and ensure they perform as expected.

We value expertise in modern ML frameworks (PyTorch), with at least 4+ years of experience and a CS/CE degree. This role offers strong growth, equity, and a competitive salary in San Francisco.