Staff Machine Learning Engineer - Marketplace Pricing Job at Uber (Sunnyvale)

Senior Staff Machine Learning Engineer - Driver Pricing & Marketplace Optimization

We’re seeking an exceptional Senior Staff ML Engineer to lead breakthrough ML in...

Location

United States , Sunnyvale, California; San Francisco, California

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Machine Learning, Operations Research, or related quantitative field OR Master’s degree with 12+ years of industry experience
10+ years of experience building and deploying ML models in large-scale production environments
Expert-level proficiency in modern ML frameworks (TensorFlow, PyTorch, JAX) and distributed computing platforms (Spark, Ray)
Deep expertise across multiple areas including: Deep Learning, Causal Inference, Reinforcement Learning, Multi-objective Optimization, Algorithmic Game Theory, and Large-scale Ads Ranking/Auction Systems
Proven track record of leading complex ML projects from research through production with significant measurable business impact
Strong programming skills in Python, Java, or Go with experience building production ML systems
Experience with feature engineering, model serving, and ML infrastructure at scale (handling millions of predictions per second)
Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives

Job Responsibility

Lead the design and implementation of advanced ML systems for dynamic pricing algorithms serving millions of drivers across 70+ countries around the world
Architect real-time ML infrastructure handling 1M+ pricing decisions per second with sub-50ms latency requirements
Drive breakthrough research in causal ML, reinforcement learning, algorithmic game theory, and multi-objective optimization for marketplace optimization with strategic agents
Own end-to-end ML model lifecycle from research through production deployment and continuous optimization
Build scalable ML architecture and feature management systems supporting Driver Pricing and broader Marketplace teams
Design experimentation frameworks enabling rapid testing of pricing algorithms using A/B, Switchback, Synthetic Control, and other experimental methodologies
Establish ML engineering best practices, monitoring, and operational excellence across the organization
Create platform abstractions that enable other ML engineers to iterate faster on pricing algorithms
Partner with Product, Operations, and Earner Experience teams to translate complex business requirements into ML solutions
Collaborate with Marketplace Engineering and Science teams to productionize cutting-edge ML research

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits

Fulltime

New

Staff Machine Learning Engineer - Delivery Courier Pricing

The Courier Pricing team sits within Uber's Delivery Marketplace org and plays a...

Location

United States , San Francisco; Sunnyvale

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelors (or higher) in Computer Science, Machine Learning, Operations Research, or related quantitative field
7+ years of experience building and deploying ML models in large-scale production environments
Expert-level proficiency in modern ML frameworks and distributed computing platforms
Proven track record of leading complex ML projects from research through production with significant measurable business impact
Strong programming skills in Python, Java, or Go with experience building production ML systems
Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives

Job Responsibility

Lead the design and implementation of advanced ML systems for courier pricing algorithms serving millions of couriers
Own end-to-end ML model lifecycle from research through production deployment and continuous optimization
Build scalable ML architecture and feature management systems supporting Courier Pricing and broader Marketplace teams
Design experimentation frameworks enabling rapid testing of pricing algorithms using A/B, Switchback, Synthetic Control, and other experimental methodologies
Establish ML engineering best practices, monitoring, and operational excellence across the organization
Create platform abstractions that enable other ML engineers to iterate faster on pricing algorithms
Collaborate with Marketplace Engineering and Science teams to productionize cutting-edge ML research
Work with Platform Engineering teams to ensure ML systems meet reliability and performance standards
Influence technical roadmaps across multiple teams through technical leadership and strategic thinking
Mentor and grow senior ML engineers, establishing technical standards and engineering culture

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

New

Staff Machine Learning Engineer - Marketplace

The Marketplace Signals team at Uber is responsible for building and optimizing ...

Location

United States , San Francisco; Sunnyvale

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Ph.D. or M.S. in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields
6+ years of industry experience in machine learning, including building and deploying ML models at scale
Experience in modern deep learning architectures and probabilistic modeling
Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn)
Solid understanding of MLOps practices, including design documentation, testing, and source code management with Git
Advanced skills in the development and deployment of large-scale ML models and optimization algorithms
Strong business and product sense: ability to shape vague questions into well-defined analyses and success metrics that drive business decisions

Job Responsibility

Develop and optimize ML models to enhance key marketplace signals (e.g., ETA predictions, supply availability metrics, demand forecasts)
Collaborate with cross-functional teams (Pricing, Matching, Driver Incentives, etc.) to ensure marketplace signals are effectively utilized
Improve operational efficiency by building a centralized, scalable system for marketplace signals that serves multiple use cases
Leverage cutting-edge ML techniques (deep learning, probabilistic modeling, reinforcement learning, etc.) to continuously refine marketplace signals

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits (see link)

Fulltime

New

Staff Machine Learning Engineer - Ads

The Ads Machine Learning team at Uber is responsible for designing, building, an...

Location

United States , New York; San Francisco

Salary:

30.00 USD / Hour

Uber

Expiration Date

Until further notice

Requirements

Bachelor’s degree or equivalent experience in Computer Science, Computer Engineering, Data Science, Machine Learning, Statistics, or a related quantitative field
Demonstrated ownership of designing, deploying, and evolving large scale machine learning systems powering ads ranking, auction, or pricing in production environments
Strong proficiency in Python for building production ML systems and defining model, feature, and training abstractions used across teams
Deep understanding of SQL with experience driving production decision making, data validation, and system level analysis
Strong grasp of big data and distributed system architectures, with experience designing data platforms and ETL pipelines that support Ads ML workloads
Hands on experience building and operating batch data pipelines using Spark or comparable distributed compute frameworks, with accountability for data quality and correctness
Proven expertise in experimentation and evaluation, including A/B testing and offline metrics for ads auctions, ranking quality, and marketplace outcomes
Experience defining and operationalizing model and serving level metrics, and building observability for reliable online ML inference systems
Experience owning or influencing online model serving, including latency aware inference, scalability, and reliability considerations
Strong grounding in statistical methods, with the ability to reason about bias, uncertainty, and tradeoffs in ads and marketplace systems

Job Responsibility

Lead the design and evolution of machine learning models that power ads ranking, pricing, and auction systems at scale
Own end to end ML systems, including training pipelines, feature infrastructure, and low latency online inference for real time and batch use cases
Apply advanced statistical and ML techniques to improve ads relevance, marketplace efficiency, and advertiser outcomes
Define experimentation strategies, success metrics, and evaluation frameworks, and drive iteration through rigorous offline and online testing
Establish model and system observability through metrics, dashboards, and reliability best practices
Translate ambiguous product goals into durable ML architectures in close partnership with Product and Engineering
Provide technical leadership through mentorship, design reviews, and raising engineering standards across the Ads ML org
Stay current on advances in machine learning and ads auction systems, and drive adoption where they deliver clear impact

Fulltime

Senior Staff Engineer - Operations Research

The mission of the Surge team is to maintain overall marketplace reliability by ...

Location

United States , Sunnyvale; San Francisco; New York

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

PhD in relevant fields (Operations Research, Industrial Engineering, Computer Science) with a focus on optimization modeling
6+ years of industry experience developing algorithms and models for large-scale deployment
Experience with optimization packages such as Gurobi, CPLEX, and OR Tools
Experience with two-sided marketplace design, pricing optimization, matching/allocation
Strong communication skills and ability to work effectively with cross-functional partners
Proficiency in one or more coding languages such as Python, Java, Go, or C++

Job Responsibility

Work with a mixed team of Engineers, Operations Researchers, and Economists
Build new scalable algorithms for real-time pricing of Ubers products across hundreds of global marketplaces
Help set the team's technical direction and roadmap
Communicate with leadership, identify new opportunities, and help guide the growth of more junior engineers

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits

Fulltime

New

Production worker assembly

You will work as a production worker in the assembly department. Here you assemb...

Location

Netherlands , Staphorst

Salary:

18.24 EUR / Hour

Randstad

Expiration Date

January 08, 2027

Requirements

Willing to work in Staphorst
Available fulltime
Available within 1 week
At least 18 years old
Speak Dutch or English
Experience or affinity with tinkering/assembly
Own car
Available in 2 shifts

Job Responsibility

Assemble towbars according to a work instruction
Work at own workstation using pick-by-light system
Work at assembly line with colleagues
Check towbars for quality
Handle heavy parts

What we offer

Nice working atmosphere with nice colleagues
Opportunity for a permanent job
Opportunity for internal training and advancement
No experience necessary
Pension accrual after 1 day of work

Fulltime

New

SEN Teacher

Are you a motivated SEN Teacher looking for a role in the heart of Manchester? D...

Location

United Kingdom , Manchester

Salary:

Not provided

Randstad

Expiration Date

March 05, 2026

Requirements

UK QTS is a must
Experience in an SEN setting (references required)
UK work eligibility

What we offer

Excellent local parking options
Spacious staff room with biscuits and cakes provided
Reduced childcare costs

Fulltime

New

Indirect Procurement Manager

Lead strategic sourcing and build key relationships in a dynamic, global environ...

Location

Japan , Tokyo

Salary:

9000000.00 - 12700000.00 JPY / Year

Randstad

Expiration Date

April 17, 2026

Requirements

Bachelor's degree in a relevant field (e.g., Supply Chain Management, Business Administration)
Minimum 10 years of experience in indirect procurement, with a proven track record of success
Strong negotiation and contract management skills
Experience working with global teams and stakeholders
Excellent communication and interpersonal skills, with fluency in English and Japanese
Proficient in relevant procurement software and systems
Analytical skills with the ability to develop and implement strategic plans
Experience managing a significant financial spend budget
Understanding of Japanese business culture and regulatory environment
Strong problem-solving and decision-making abilities

Job Responsibility

Lead the development and execution of indirect procurement strategies for Japan, aligned with global objectives
Manage the full procurement lifecycle, from sourcing to contract negotiation and supplier management
Develop and maintain strong relationships with key internal stakeholders and external suppliers
Drive cost savings and efficiency improvements across the procurement process
Ensure compliance with all relevant procurement policies and regulations
Collaborate with regional and global procurement teams to share best practices and leverage synergies
Analyze market trends and identify opportunities for innovation and improvement
Prepare and manage budgets, ensuring effective financial control

What we offer

健康保険
厚生年金保険
雇用保険
土曜日
日曜日
祝日

Fulltime

Staff Machine Learning Engineer - Marketplace Pricing

Uber

Location:
United States , Sunnyvale ▼
San Francisco
Seattle
New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 28, 2026

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