Uber Advertising · 2 days ago
Senior Machine Learning Engineer - Ads
San Francisco, CA
Full-time
Onsite
Senior Level
$198K/yr - $220K/yr
5+ years expUber Advertising is seeking a Senior Machine Learning Engineer to join their Ads Machine Learning team. The role involves designing and implementing machine learning models to optimize ad recommendations and auction mechanisms, while collaborating with cross-functional teams to enhance user engagement and merchant benefits.
Marketing & Advertising
Responsibilities
Design and implement machine learning models and algorithms to optimize ad recommendations and auction mechanisms
Develop and maintain scalable ML pipelines and data infrastructure to support real-time and batch processing of large-scale datasets
Apply advanced statistical and machine learning techniques to generate insights and improve the effectiveness of ad targeting and delivery
Collaborate with data scientists and engineers to build and refine predictive models that enhance user engagement and merchant benefits
Conduct rigorous experimentation and A/B testing to validate model performance and iterate on improvements
Define success metrics and develop dashboards to monitor and visualize the performance of ML models in production
Work closely with cross-functional teams, including Product, Engineering, and Data Science, to translate business requirements into ML solutions
Mentor and provide technical guidance to junior ML engineers and data scientists
Stay up-to-date with the latest research and advancements in machine learning, recommendation systems, and ad auction techniques
Qualification
Required
Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, Data Science, ML, Statistics, or other quantitative fields
Proven experience with designing and implementing machine learning models in production environments
Proficiency in using Python for developing ML models and handling large-scale data sets
Solid understanding of SQL and experience using it in a production environment
Strong grasp of Big Data architecture and experience with ETL frameworks and platforms
Hands-on experience with building batch data pipelines using technologies like Spark or other map-reduce frameworks
Expertise in experimental design and analysis, including A/B testing, exploratory data analysis, and statistical analysis
Experience with data visualization tools and creating insightful dashboards
Proficiency with methodologies such as sampling, statistical estimates, and descriptive statistics
Ability to synthesize complex data analyses into clear and actionable insights to influence product direction
Experience with recommendation systems
Fast learner with a passion for solving complex problems and asking thoughtful questions to ensure effective solutions
Strong communication skills to engage with technical, non-technical, and executive audiences effectively
Commitment to seeking and providing timely feedback to drive continuous improvement
Preferred
5 years of industry experience as an ML engineer or equivalent
Expertise in building sophisticated systems and knowledge of Hadoop-related technologies such as HDFS, Kafka, Hive, and Presto
Experience managing projects across large, ambiguous scopes and driving initiatives in a fast-moving, cross-functional environment
Experience with enabling production-scale and maintaining large ML models
Experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++)
Experience with REST APIs and Distributed Messaging / Kafka
Familiarity with recommendation systems and modern ad auction techniques
Experience with ad auctioning systems
Experience with state-of-the-art deep learning techniques
Advanced degree (Ph.D. or M.S.) in Data Science, ML, or related disciplines
Benefits
Eligible to participate in Uber's bonus program
May be offered an equity award
Various benefits
Company
Uber Advertising
There was life before Uber. But today, Uber is a way of life.
501-1000 employees
H1B Sponsorship
Uber Advertising has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (4)
2022 (2)
2021 (8)
2020 (85)
Funding
Current Stage
Late StageCompany data provided by crunchbase