Uber is hiring: Senior Machine Learning Engineer - Marketplace Pricing in New Yo
Uber, New York, NY, United States
About the Role
Uber’s Marketplace is at the heart of Uber’s business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast-tracked career growth and the opportunity to learn from experienced technical leaders.
We are looking for exceptional ML engineers with a track record of extraordinary impact and with a passion for building large-scale systems that optimize multi-sided real-time marketplaces. In this role, you will lead the design, development, and productionization of advanced ML models and pricing algorithms, covering deep learning, causal modeling, and reinforcement learning. You will work with engineers, product managers, and scientists to set the team’s technical direction and solve some of Uber’s most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide.
What You Will Do
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 combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers
Collaborate with the team leads to set the team’s technical direction and own its implementation, providing technical mentorship to junior engineers
Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems
Basic Qualifications
Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact
4+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments, delivering measurable business impact over multiple quarters and making significant technical contributions
Proficiency in programming languages such as Python, Scala, Java, or Go
Experience with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures
Experience in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps
Deep understanding of modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. LP, convex optimization)
Preferred Qualifications
Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior
Experience leading complex technical projects and influencing the scope and output of others
Track record of translating ambiguous business problems into technical solutions and driving multi-functional projects
Excellent communication skills to lead initiatives and collaborate effectively with cross-functional partners
Experience in reinforcement learning and causal machine learning
For New York, NY-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 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. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/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.
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In Summary: The Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides . We are looking for exceptional ML engineers with a track record of extraordinary impact .
En Español: El mercado de Uber está en el corazón del negocio de Uber y el equipo Dynamic Supply Pricing (DSP) desarrolla los modelos, algoritmos, señales y sistemas distribuidos a gran escala que impulsan los precios en tiempo real para miles de millones de viajes. Trabajará con ingenieros, gerentes de productos y científicos para establecer la dirección técnica del equipo y resolver algunos de los problemas empresariales más desafiantes y complejos de Uber a fin de proporcionar oportunidades de ganancia para millones de conductores en todo el mundo. Lo que va a hacer Lidera el diseño, desarrollo y producción de soluciones ML de extremo a extremo para sistemas distribuidos a gran escala que sirven miles de millones de viajes Desarrollar nuevos enfoques de precios para mercados online que combinan aprendizaje automático, teoría de juegos algorítmicos y optimización para ofrecer oportunidades de ingresos a millones de pilotos Colaborar con el equipo lleva al establecimiento de las direcciones técnicas del equipo e imprimir su propia implementación, proporcionando asesoría técnica a los ingenieros trabajadores con un equipo de ingenieros , gestores de producto, y jóvenes expertos para diseñar y entregar soluciones técnicas de alto impacto a complejos problemas de negocio Calificaciones básicas: Ph.D., M.S o Bachillerato en Ciencias Máquinas en Operaciones Informáticas, Go-scale, desarrollando experiencias tecnológicas (excepcionales) como aplicaciones de software de montaje y procesamiento de computadoras, desarrolando grandes tecnologías o programas de alta calidad (e.g. Flink), y arquitecturas de microservicios Experiencia en el desarrollo, capacitación, producción y monitoreo de soluciones ML a escala, que van desde tuberías fuera de línea hasta servicio online y MLOps Comprensión profunda de algoritmos modernos de ML (por ejemplo DNNs, modelos multi-tareas, transformadores) y optimización matemática (p. ej., LP, optimización convexa) Qualificaciones preferentes experiencia en desarrollar e implementar algoritmos de precios para mercados múltiples en tiempo real con comportamiento de agente estratégico experiencia conduciendo proyectos técnicos complejos e influyendo en el alcance y la salida de otros Todos los empleados a tiempo completo son elegibles para participar en un plan 401 (k). También será elegible para varios beneficios. Más detalles se pueden encontrar en el siguiente enlace https://jobs.uber.com/en/benefits. La misión de Uber es reimaginar la forma en que el mundo se mueve hacia mejor. Aquí, las ideas audaces crean impacto en el mundo real, desafían el crecimiento y aceleran el progreso. Lo que nos mueve, mueve al mundo - vamos a avanzar juntos. Uber está orgulloso de ser un empleador de Igualdad de Oportunidades.
Uber’s Marketplace is at the heart of Uber’s business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast-tracked career growth and the opportunity to learn from experienced technical leaders.
We are looking for exceptional ML engineers with a track record of extraordinary impact and with a passion for building large-scale systems that optimize multi-sided real-time marketplaces. In this role, you will lead the design, development, and productionization of advanced ML models and pricing algorithms, covering deep learning, causal modeling, and reinforcement learning. You will work with engineers, product managers, and scientists to set the team’s technical direction and solve some of Uber’s most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide.
What You Will Do
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 combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers
Collaborate with the team leads to set the team’s technical direction and own its implementation, providing technical mentorship to junior engineers
Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems
Basic Qualifications
Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact
4+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments, delivering measurable business impact over multiple quarters and making significant technical contributions
Proficiency in programming languages such as Python, Scala, Java, or Go
Experience with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures
Experience in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps
Deep understanding of modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. LP, convex optimization)
Preferred Qualifications
Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior
Experience leading complex technical projects and influencing the scope and output of others
Track record of translating ambiguous business problems into technical solutions and driving multi-functional projects
Excellent communication skills to lead initiatives and collaborate effectively with cross-functional partners
Experience in reinforcement learning and causal machine learning
For New York, NY-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 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. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/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.
#J-18808-Ljbffr
In Summary: The Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides . We are looking for exceptional ML engineers with a track record of extraordinary impact .
En Español: El mercado de Uber está en el corazón del negocio de Uber y el equipo Dynamic Supply Pricing (DSP) desarrolla los modelos, algoritmos, señales y sistemas distribuidos a gran escala que impulsan los precios en tiempo real para miles de millones de viajes. Trabajará con ingenieros, gerentes de productos y científicos para establecer la dirección técnica del equipo y resolver algunos de los problemas empresariales más desafiantes y complejos de Uber a fin de proporcionar oportunidades de ganancia para millones de conductores en todo el mundo. Lo que va a hacer Lidera el diseño, desarrollo y producción de soluciones ML de extremo a extremo para sistemas distribuidos a gran escala que sirven miles de millones de viajes Desarrollar nuevos enfoques de precios para mercados online que combinan aprendizaje automático, teoría de juegos algorítmicos y optimización para ofrecer oportunidades de ingresos a millones de pilotos Colaborar con el equipo lleva al establecimiento de las direcciones técnicas del equipo e imprimir su propia implementación, proporcionando asesoría técnica a los ingenieros trabajadores con un equipo de ingenieros , gestores de producto, y jóvenes expertos para diseñar y entregar soluciones técnicas de alto impacto a complejos problemas de negocio Calificaciones básicas: Ph.D., M.S o Bachillerato en Ciencias Máquinas en Operaciones Informáticas, Go-scale, desarrollando experiencias tecnológicas (excepcionales) como aplicaciones de software de montaje y procesamiento de computadoras, desarrolando grandes tecnologías o programas de alta calidad (e.g. Flink), y arquitecturas de microservicios Experiencia en el desarrollo, capacitación, producción y monitoreo de soluciones ML a escala, que van desde tuberías fuera de línea hasta servicio online y MLOps Comprensión profunda de algoritmos modernos de ML (por ejemplo DNNs, modelos multi-tareas, transformadores) y optimización matemática (p. ej., LP, optimización convexa) Qualificaciones preferentes experiencia en desarrollar e implementar algoritmos de precios para mercados múltiples en tiempo real con comportamiento de agente estratégico experiencia conduciendo proyectos técnicos complejos e influyendo en el alcance y la salida de otros Todos los empleados a tiempo completo son elegibles para participar en un plan 401 (k). También será elegible para varios beneficios. Más detalles se pueden encontrar en el siguiente enlace https://jobs.uber.com/en/benefits. La misión de Uber es reimaginar la forma en que el mundo se mueve hacia mejor. Aquí, las ideas audaces crean impacto en el mundo real, desafían el crecimiento y aceleran el progreso. Lo que nos mueve, mueve al mundo - vamos a avanzar juntos. Uber está orgulloso de ser un empleador de Igualdad de Oportunidades.