What are the responsibilities and job description for the Sr Software Engineer - Machine Learning, Delivery & Ads position at Uber Advertising?
About The Role
Partners with stakeholders to design, develop, optimize, and productionize machine learning (ML) or ML-based solutions and systems that are used within a team to solve complex problems with multiple dependencies. This role also leads team efforts to leverage and improve ML infrastructure for model development, training, deployment needs and scaling ML systems.
About The Team (We Are Hiring For Multiple Teams)
Our Delivery organization solves complex logistical and discovery challenges at a massive scale. Through this centralized pipeline, we are hiring top-tier backend talent and team-matching you based on your strengths across these core pillars:
Ads: The Uber Advertising team is building the next generation of display and video ads to help brands grow on Uber's marketplace. They own the critical ad supply and serving layers across the global marketplace, focusing on optimizing supply for existing formats and building engaging new ad experiences while balancing advertiser performance with an exceptional shopper experience. The team also includes the Ads Metrics & Attribution team, which builds high-throughput streaming infrastructure for the business's mission-critical "source of truth."
Search: the engine for discovery that drives over a third of our business. We're on a mission to evolve search from a simple query box into an adaptive, intuitive experience that understands user intent before they even finish typing.
Grocery: fastest growing business vertical, delighting customers with next-hour delivery of household essentials from their favorite local stores. The Shopper Experience team is focused on building best-in-class products and technology to help shoppers fulfill grocery order s
What You'll Do
Partners with stakeholders to design, develop, optimize, and productionize machine learning (ML) or ML-based solutions and systems that are used within a team to solve complex problems with multiple dependencies. This role also leads team efforts to leverage and improve ML infrastructure for model development, training, deployment needs and scaling ML systems.
About The Team (We Are Hiring For Multiple Teams)
Our Delivery organization solves complex logistical and discovery challenges at a massive scale. Through this centralized pipeline, we are hiring top-tier backend talent and team-matching you based on your strengths across these core pillars:
Ads: The Uber Advertising team is building the next generation of display and video ads to help brands grow on Uber's marketplace. They own the critical ad supply and serving layers across the global marketplace, focusing on optimizing supply for existing formats and building engaging new ad experiences while balancing advertiser performance with an exceptional shopper experience. The team also includes the Ads Metrics & Attribution team, which builds high-throughput streaming infrastructure for the business's mission-critical "source of truth."
Search: the engine for discovery that drives over a third of our business. We're on a mission to evolve search from a simple query box into an adaptive, intuitive experience that understands user intent before they even finish typing.
Grocery: fastest growing business vertical, delighting customers with next-hour delivery of household essentials from their favorite local stores. The Shopper Experience team is focused on building best-in-class products and technology to help shoppers fulfill grocery order s
What You'll Do
- Design, build, and deploy scalable machine learning models to production to solve real-world business problems.
- Collaborate with cross-engineering teams, data scientists and other partners to gather requirements and translate them into technical specification
- Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction.
- Write clean, testable, and efficient code to ensure models run with low latency and high reliability.
- Implement monitoring systems to track model performance, stability, and data drift in live environments.
- Mentor and guide other engineers, providing technical leadership and encouraging a collaborative and growth-oriented team environment
- Stay up-to-date with standard machine learning algorithms and industry trends to continuously improve our tech stack.
- Bachelor's degree or equivalent in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field with at least 3 year of full-time Machine Learning work experience OR PhD in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field with at least 1 year of full-time Machine Learning work experience
- Proficiency in at least one programming language such as Java, C , Python, or Go
- 3 years of experience with ML algorithms/modeling- developing, training, productionization and monitoring of ML solutions at scale.
- Master's degree or higher in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field.
- More than 5 years of full-time machine learning work experience
- Experience with the full ML lifecycle (at Uber Scale), including model deployment, containerization and workflow orchestration.
- Experience in translating ambiguous business problems into technical solutions in a structured and principled way.
- Strong communication skills, including through documentation and design discussions
- Experience with optimization techniques and algorithmic development
- Strong problem-solving skills, with expertise in algorithms, data structures, and complexity analysis
- High bar for quality as demonstrated by code reviews, documentation, unit and integration testing
Salary : $202,000 - $224,000