Pricing Modeling

Pricing Modeling Developer Jobs

2 jobs found

1d ago

Staff Machine Learning Engineer - Pricing

Uber New York, NY

New York, NY

1d ago

$232k - $258k/yr Full time Big Data Data Pipeline Data Processing

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Job Description

On Uber’s Dynamic Supply Pricing team, you will help design, build, and productionize advanced machine learning and pricing algorithms that power real-time driver pricing. This Staff role focuses on delivering marketplace ML solutions at large scale, with a technical strategy roadmap spanning 1+ year and an emphasis on end-to-end engineering execution.

This position is based in New York, NY (onsite) and offers a base salary range of USD 232,000 to 258,000 per year. You may also be eligible for a bonus program, equity awards, and other compensation depending on location and role eligibility.

Responsibilities

Own technical strategy and roadmap execution over a 1+ year horizon, including platform-level architecture decisions, executive communication and alignment, technical mentorship, and cross-team technical influence
Lead the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips
Develop novel pricing approaches for online marketplaces that combine machine learning, algorithmic game theory, and optimization to expand earnings opportunities for millions of drivers
Partner with engineers, product managers, and scientists to deliver high-impact technical solutions to complex business problems

Requirements

Ph.D., M.S., or Bachelor’s degree in Computer Science, Machine Learning, or Operations Research, or an equivalent technical background with exceptional demonstrated impact
6+ years leading development and deployment of ML models and optimization algorithms in large-scale production environments at top-tier ML companies (examples include 1M+ predictions/sec or 100M+ users), with a track record of outstanding business impact across multiple quarters
Strong programming skills in Python, Scala, Java, or Go
Proficiency with large-scale data systems such as Spark and Ray, real-time processing such as Flink, and microservices architectures
Experience building and operating ML solutions at scale, spanning offline pipelines, online serving, and MLOps with monitoring
Experience developing and deploying pricing algorithms for multi-sided real-time marketplaces involving strategic agent behavior
Deep understanding of modern ML algorithms (including DNNs, multi-task models, and transformers) and mathematical optimization (including multi-objective, LP, and convex optimization)

Technologies

Python, Scala, Java, Go
Spark, Ray, Flink
Microservices architectures, MLOps
DNNs, transformers

Benefits

Eligible to participate in Uber’s bonus program (all US locations)
May be offered an equity award and other types of comp
Eligible to participate in a 401(k) plan
Eligible for various benefits

Preferred Qualifications

Experience creating multi-year technical strategies and owning cross-team platform architecture, with demonstrated ability to lead complex technical projects and influence the scope and output of others
Track record of translating complex business problems into technical solutions and driving multi-functional projects across multiple teams
Excellent communication skills for leading initiatives across multiple product areas and collaborating cross-functionally
Proficiency in reinforcement learning and causal machine learning

Office collaboration: Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, such as those at greenlight hubs, may require full-time in-office presence. Ask your Recruiter for details about this role’s requirements.

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2d ago

Staff Machine Learning Engineer - Pricing

Uber Sunnyvale, CA

Sunnyvale, CA

2d ago

$232k - $258k/yr Full time Artificial Intelligence Data Pipeline Data Platform

Apply Now

Job Description

Uber’s Dynamic Supply Pricing team is building machine learning and pricing systems that help set real-time driver prices across a large marketplace. In this role, you will lead the design, development, and productionization of advanced ML models and pricing algorithms that support driver earnings at massive scale.

As a Staff Machine Learning Engineer focused on Pricing, you will set technical direction over a 1+ year horizon and partner closely with engineers, product managers, and scientists to deliver end-to-end ML solutions for distributed systems serving billions of trips.

What you’ll do

Own technical strategy and a 1+ year roadmap, including platform-level architecture decisions, executive communication and alignment, technical mentorship, and cross-team technical influence
Lead the end-to-end design, development, and productionization of ML solutions for large-scale distributed systems serving billions of trips
Develop novel pricing approaches that combine machine learning, algorithmic game theory, and optimization to create earnings opportunities for millions of drivers
Collaborate with engineers, product managers, and scientists to design and deliver high-impact solutions to complex business problems

Requirements

Education: Ph.D., M.S., or Bachelor’s degree in Computer Science, Machine Learning, or Operations Research, or an equivalent technical background with exceptional demonstrated impact
Experience: 6+ years leading development and deployment of ML models and optimization algorithms in large-scale production environments at top-tier ML companies (for example, 1M+ predictions/sec or 100M+ users), with a track record of outstanding business impact over multiple quarters
Proficiency in Python, Scala, Java, or Go
Proficiency with large-scale data systems such as Spark and Ray, real-time processing such as Flink, and microservices architectures
Experience building, training, productionizing, and monitoring ML solutions at scale, from offline pipelines to online serving and MLOps
Experience developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior
Deep understanding of modern ML algorithms (DNNs, multi-task models, transformers) and mathematical optimization (multi-objective, LP, convex optimization)

Technologies

Python, Scala, Java, Go
Spark, Ray, Flink
Microservices architectures, MLOps
DNNs, transformers

Benefits

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

Additional details

Location: Sunnyvale, CA (onsite)
Salary range: USD 232,000 - 258,000 per year
Unless approved for full remote work, employees must spend at least 50% of their time in-office
Ask your Recruiter for details about this role’s in-office requirements

Preferred qualifications

Experience developing multi-year technical strategies and cross-team platform architecture, with the ability to own technical roadmaps and lead complex projects while substantially influencing the scope and output of others
Track record translating complex business problems into technical solutions and driving multi-functional projects across multiple teams
Excellent communication skills for leading initiatives across multiple product areas and collaborating with cross-functional teams
Proficiency in reinforcement learning and causal machine learning

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Pricing Modeling Developer Jobs

Staff Machine Learning Engineer - Pricing

Staff Machine Learning Engineer - Pricing

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