Job Details

About The Role

We are seeking a highly experienced and visionary Senior Engineering Manager to lead our AI/ML engineering team. In this role, you will be responsible for driving the development and deployment of cutting-edge machine learning systems and AI-powered products that power our independent drivers, shippers, sales, and operations teams to transport freight across the world. You will lead teams of talented engineers and collaborate closely with data scientists, product managers, and stakeholders to deliver scalable, impactful solutions.

Schedule: Full Time Employment

Job Type: Hybrid

Salary Type: Salary

Req #:1376

About The Role

We are seeking a highly experienced and visionary Senior Engineering Manager to lead our AI/ML engineering team. In this role, you will be responsible for driving the development and deployment of cutting-edge machine learning systems and AI-powered products that power our independent drivers, shippers, sales, and operations teams to transport freight across the world. You will lead teams of talented engineers and collaborate closely with data scientists, product managers, and stakeholders to deliver scalable, impactful solutions.

What The Candidate Will Do

• Lead, mentor, and grow a high-performing team of AI/ML Engineers.
• Define and execute the technical roadmap for AI/ML initiatives in alignment with business goals.
• Oversee the design, development, and deployment of machine learning models and AI systems.
• Ensure engineering best practices, including code quality, testing, and documentation.
• Collaborate with cross-functional teams to integrate AI/ML solutions into products and services.
• Drive innovation by staying current with the latest research and trends in AI/ML.
• Manage project timelines, deliverables, and resource allocation.
• Foster a culture of continuous learning, experimentation, and excellence.
  
  

Basic Qualifications

• Bachelors or Masters degree in Computer Science, Engineering, or a related field.
• 10+ years of experience in software engineering, including at least 4 years in a leadership role and 4 years of hands-on experience in the AI/ML field.
• Proven experience in building and deploying machine learning models at scale.
• Strong knowledge of ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Solid understanding of data engineering, model lifecycle management, and MLOps.
• Excellent leadership, communication, and project management skills.
  
  

Preferred Qualifications

• Experience with generative AI, LLMs, or reinforcement learning.
• Contributions to open-source AI/ML projects or published research.
• Familiarity with data privacy, model fairness, and ethical AI practices.
  
  

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.

About Uber Freight

Uber Freight is a market-leading enterprise technology company powering intelligent logistics. With a suite of end-to-end logistics applications, managed services and an expansive carrier network, Uber Freight advances supply chains and moves the worlds goods. Today, the company manages nearly $20B of freight and one of the largest networks of carriers. It is backed by best-in-class investors and provides services for 1 in 3 Fortune 500 companies, including Del Monte Foods, Nestle, Anheuser-Busch InBev, and more. For more, visit www.uberfreight.com.

Candidate Privacy Notice

Uber Freight is committed to protecting the privacy of our candidates. We collect and process personal data in accordance with applicable data protection laws. For detailed information on how we handle candidate data, please review our Candidate Privacy Notice.

EEOC

Uber Freight is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Transportation, Logistics, Supply Chain and Storage

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