Senior Software Engineer - Machine Learning
Uber Freight · Frisco, TX
- On site
- Full-time
- $150,000 / year
- Frisco, TX
Tailored resume — keyword-matched to this role.
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Job highlights
- Develop high-impact ML solutions for shipping.
- Leverage traditional ML and Generative AI.
- End-to-end lifecycle of predictive models.
- Optimize logistics with core ML and GenAI.
- Collaborate cross-functionally for scalable models.
About the role
About The Team
The Uber Freight team is building a better future for shipping. We believe that when shippers and carriers have the freedom to move together, the entire industry moves ahead. Our teams design and build innovative applications, infrastructure, and models to power Uber Freight. Utilizing Uber's foundational elements, these include the mobile app for Carriers, the portals and integrations that give Shipper’s access to the platform, tools for our Operations teams, and all the underlying pricing, matching, and forecasting algorithms that evolve the freight industry forward.What The Candidate Will Do
As a Senior Software Engineer - Machine Learning 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
- At least 5+ years of Machine Learning engineering experience
- Experience deploying ML models at scale using frameworks like PyTorch, TensorFlow, Scikit-Learn, or Spark MLlib
- 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
- Deep understanding of ML theory and a broad toolkit of algorithms, including deep learning, instance-based learning, and traditional statistical models
Preferred Qualifications
- BS, MS or PhD degree in computer science, Data Science, ML or equivalent practical experience
- 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.
- Explain & communicate 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.
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 helps companies move goods more reliably and efficiently. We bring together the technology, people, and transportation capacity they need, using real‑time data from millions of shipments to guide smarter decisions. That helps customers spot issues early, avoid costly surprises, and deliver on time. Uber Freight works with 1 in 3 Fortune 500 shippers across North America and manages over $17B in freight. Learn more at 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.Key skills/competency
- Machine Learning Engineering
- Generative AI
- Predictive Models
- PyTorch
- TensorFlow
- Scikit-Learn
- Spark MLlib
- Python
- Go
- Java
Skills & topics
- Machine Learning Engineer
- Machine Learning
- Generative AI
- Predictive Modeling
- PyTorch
- TensorFlow
- Scikit-Learn
- Spark MLlib
- Python
- Data Science
- Software Engineering
- Uber Freight
- Logistics
- Shipping
- AI
- Deep Learning
How to get hired
- Tailor your resume: Highlight 5+ years of ML engineering experience and specific framework knowledge (PyTorch, TensorFlow, Scikit-Learn, Spark MLlib).
- Showcase production skills: Emphasize experience deploying and implementing ML models in production environments with large datasets.
- Demonstrate ML expertise: Clearly articulate your understanding of ML theory, deep learning, and traditional statistical models.
- Highlight preferred qualifications: Include experience with Generative AI, LLMs, and stream/graph processing technologies if applicable.
- Prepare for technical interviews: Be ready to discuss algorithm choices, ML system design, and metrics-driven development.
Technical preparation
Master PyTorch, TensorFlow, Scikit-Learn, Spark MLlib.,Practice deploying models with large datasets.,Implement deep learning and traditional ML algorithms.,Build generative AI and LLM applications.
Behavioral questions
Describe a complex ML problem solved.,How do you explain technical concepts?,Share experience with metrics-driven development.,Discuss collaboration with cross-functional teams.
Frequently asked questions
- What are the key responsibilities for a Senior Machine Learning Engineer at Uber Freight?
- As a Senior Machine Learning Engineer at Uber Freight, you will be responsible for driving the development of high-impact solutions using traditional machine learning and Generative AI. This includes managing the entire lifecycle of predictive models, from identification and research to prototyping and production monitoring, with a focus on optimizing logistics and network effects.
- What programming languages and ML frameworks are most important for this Senior Machine Learning Engineer role at Uber Freight?
- The most important programming languages for this role are Python, Go, and Java. Essential ML frameworks include PyTorch, TensorFlow, Scikit-Learn, and Spark MLlib for deploying ML models at scale. Experience with these technologies is crucial for success in this Senior Machine Learning Engineer position.
- Does Uber Freight offer specific benefits for this Senior Machine Learning Engineer position?
- Yes, employees working more than 30 hours in the US at Uber Freight are eligible for a comprehensive benefits package. This includes a company-sponsored health plan, dental and vision benefits, 401k match, financial and mental wellness benefits, parental leave, disability coverage, and life insurance. Depending on the role, you may also be eligible for performance incentives, equity awards, and other compensation.
- What is the expected level of experience for the Senior Machine Learning Engineer position at Uber Freight?
- Uber Freight requires at least 5 years of Machine Learning engineering experience for this Senior Machine Learning Engineer role. A BS, MS, or PhD in computer science, Data Science, or ML, or equivalent practical experience, is also preferred, particularly if it includes work with generative AI and large language models.
- How does Uber Freight approach Generative AI in the Senior Machine Learning Engineer role?
- Uber Freight is actively integrating emerging Generative AI applications and Agentic systems into its solutions. The Senior Machine Learning Engineer will guide the team in adopting these technologies where they provide the most business value, focusing on applications like large language models to enhance efficiency and redefine operations.