Senior Software Engineer - Machine Learning

Uber Freight

$183K — $223K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, or related fields
  • 5+ years of Software Engineering or ML Engineering experience
  • Proficiency in Python, Go, or Java
  • Experience designing and implementing production machine learning models with large data sets
  • Ability to communicate ML concepts and algorithms to diverse audiences
  • Strong metrics-driven development approach

Responsibilities

  • Drive development of solutions for Uber Freight's marketplace and operations
  • Oversee full lifecycle of predictive models, from identification to production monitoring
  • Optimize logistics operations using machine learning
  • Integrate Generative AI where it adds business value
  • Collaborate with cross-functional teams to deliver scalable models
  • Guide rapid prototyping of solutions and oversee production readiness

Benefits

  • Company-sponsored health plan
  • Dental and vision benefits
  • 401k match
  • Financial and mental wellness benefits
  • Parental leave
  • Short- and long-term disability coverage
  • Life insurance
  • Potential performance or sales incentive bonuses
  • Participation in Uber Freight equity awards
Full Job Description
Schedule: Full Time Employment

Job Type: Hybrid

Salary Type: Salary

Req #: 2536

What the candidate will do

As a Senior Engineer you will drive the development of high-impact solutions for Uber Freight's marketplace and operations by leveraging a deep foundation in traditional machine learning alongside emerging Generative AI applications. You will spearhead the end-to-end lifecycle of predictive models-from identifying step-change opportunities and researching advanced techniques to overseeing rapid prototyping and robust production monitoring at scale. While your primary focus will be on optimizing logistics operations and network effects through core ML, you will also guide the team in integrating GenAI and Agentic systems where they drive the most business value, collaborating with cross-functional stakeholders to deliver scalable, production-ready models that redefine efficiency.

Basic Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, or related fields
  • At least 5+ years of Software Engineering or ML Engineering experience
  • Experience in one or more programming languages including Python, Go or Java
  • Proven experience with designing and implementing machine learning models in production environments with large data sets
  • Experience in communicating algorithm choices, ML system design & concepts to leadership, technical peers & industry experts
  • Strong adherence to metrics driven development, with a disciplined and analytical approach to product development


Preferred Qualifications
  • MS or PhD degree in Computer science, Data Science, ML or equivalent practical experience
  • Deep understanding of ML theory and a broad toolkit of algorithms, including deep learning, instance-based learning, and traditional statistical models
  • Experience with designing and implementing machine learning models in production environments applied to generative AI, applications of large language models
  • Experience in stream processing--Storm, Spark, Flink etc.-- and graph processing technologies.


Benefits & Compensation for U.S. Employees

Employees working more than 30 hours in the US at Uber Freight are eligible for benefits like a company sponsored health plan, dental and vision benefits, 401k match, financial and mental wellness benefits, parental leave, short- and long-term disability coverage, life insurance and more. US based employees may also be eligible for a performance or sales incentive bonus program, participation in Uber Freight equity awards, and other types of compensation depending upon the role.

For California-based roles: The salary range for this role is $183,000.00 - $223,200.00 per year

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