Software Engineer II - Machine Learning, Delivery & Ads
About the Role
Collaborates 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 moderately complex problems.
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 orders
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What You'll Need
- 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
- 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.
- Stay up-to-date with standard machine learning algorithms and industry trends to continuously improve our tech stack.
Basic Qualifications:
- Bachelor's degree or equivalent 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 OR PhD in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field
- Proficiency in at least one programming language such as Java, C++, Python, or Go
- 1 year of experience with ML algorithms/modeling- developing, training, productionization and monitoring of ML solutions at scale.
Preferred Qualifications:
- Master's degree or higher in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field.
- More than 3 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
For New York, NY-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard 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. If you have a disability or special need that requires accommodation, please let us know by completing this form.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Perks and Benefits
Health and Wellness
- Health Insurance
- Health Reimbursement Account
- Dental Insurance
- Vision Insurance
- Life Insurance
- FSA With Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Mental Health Benefits
Parental Benefits
- Fertility Benefits
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- Pet-friendly Office
- Snacks
- Some Meals Provided
- On-Site Cafeteria
Vacation and Time Off
- Paid Vacation
- Unlimited Paid Time Off
- Paid Holidays
- Personal/Sick Days
- Sabbatical
- Volunteer Time Off
Financial and Retirement
- 401(K)
- Company Equity
- Performance Bonus
Professional Development
- Work Visa Sponsorship
- Associate or Rotational Training Program
- Promote From Within
- Mentor Program
- Access to Online Courses
Diversity and Inclusion
- Employee Resource Groups (ERG)
- Diversity, Equity, and Inclusion Program