What are the responsibilities and job description for the Sr. Machine Learning Engineer, Generative AI position at Uber Freight?
Schedule: Full Time Employment
Job Type: Hybrid
Salary Type: Salary
Req #:1092
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
AI team’s mission is to create highly relevant and efficient solutions for Uber Freight customers and operations team by leveraging the power of data and AI. We are building autonomous GenAI Conversational Assistants and Agent Co-pilot systems to drive efficiency and streamline Logistics Operations. We are solving challenges such as document analysis and multi-modal (images text for now and in future voice) conversational intelligence, autonomous reasoning and policy-adherence, and Agentic AI. We are a full-stack AI team working on LLM research, rapid model prototyping, robust evaluation and monitoring at scale. We are looking for candidates with deep expertise in ML / GenAI and end-to-end experience launching large scale AI models in production.
You will lead Generative AI initiatives by identifying step change opportunities, researching latest techniques, guiding the team in end-to-end AI development and working with cross-functional stakeholders to deliver AI solutions in production creating significant business value.
Basic Qualifications
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 world’s 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.
For Frisco-based roles: The salary range for this role is $151,000.00 - $179,000.00 per year
Job Type: Hybrid
Salary Type: Salary
Req #:1092
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
AI team’s mission is to create highly relevant and efficient solutions for Uber Freight customers and operations team by leveraging the power of data and AI. We are building autonomous GenAI Conversational Assistants and Agent Co-pilot systems to drive efficiency and streamline Logistics Operations. We are solving challenges such as document analysis and multi-modal (images text for now and in future voice) conversational intelligence, autonomous reasoning and policy-adherence, and Agentic AI. We are a full-stack AI team working on LLM research, rapid model prototyping, robust evaluation and monitoring at scale. We are looking for candidates with deep expertise in ML / GenAI and end-to-end experience launching large scale AI models in production.
You will lead Generative AI initiatives by identifying step change opportunities, researching latest techniques, guiding the team in end-to-end AI development and working with cross-functional stakeholders to deliver AI solutions in production creating significant business value.
Basic Qualifications
- At least 5 years of software engineering experience.
- Proven experience with designing and implementing machine learning models in production environments applied to generative AI, applications of large language models.
- Experience with one or more of Python, Go, Java.
- Proficiency in using Python for developing ML models and handling large-scale data sets.
- BS, MS or PhD degree in computer science, Data Science, ML or equivalent practical experience.
- Experience shipping high-quality product features on schedule.
- Experience handling complex problems at scale.
- Experience with one of the following databases: MySQL, Oracle.
- Demonstrated experience working collaboratively in cross-functional teams.
- Proven experience with leading projects and mentoring junior engineers.
- Knowledge of the logistics and freight industry is a plus.
- Hands-on experience with building batch data pipelines.
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 world’s 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.
For Frisco-based roles: The salary range for this role is $151,000.00 - $179,000.00 per year
Salary : $151,000 - $179,000
