Senior Staff Machine Learning Engineer - Trusted Identity Job at Uber in New Yor
Uber, New York, NY, United States
About the Role
We are looking for an experienced Senior Staff Machine Learning Engineer to join the Account Integrity team within Trusted Identity engineering org at Uber.
The Trusted Identity org plays a crucial role in our mission to empower users with secure and seamless digital experiences by establishing industry-leading standards for identity verification and fraud prevention, while proactively safeguarding against the evolving landscape of AI-driven fraud. Our continued obsession for innovation in this space is essential to ensure safety as people interact on Uber's platform.
What the Candidate Will Need / Bonus Points
Work with product, data science, and eng leadership to shape the technical roadmap and problem formulations for the team.
Leverage algorithmic knowledge in machine learning/optimization/statistics to design robust engineering solutions to positively impact Uber's business.
Shape the MLE role and up‑level MLE talents in the org.
Be responsible for the end‑to‑end of the product - ML model pipeline & system design, implementation, AB testing, and rollout. Work with the team to productionize the solutions at scale.
Basic Qualifications
10+ years of industry experience developing machine learning models (both classical and deep learning) and shipping ML solutions to production.
Master's degree in Computer Science, Engineering, Mathematics or related field.
Strong problem‑solving skills, with expertise in ML methodologies.
Experience in applying ML, statistics, or optimization techniques to solve large‑scale real‑world problems.
Industry experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines; programming languages such as Python, Spark SQL, Presto, Go, Java.
Preferred Qualifications
PhD degree in Computer Science, Engineering, Mathematics or related field.
Familiarity with multi‑task learning, LLMs and anomaly detection.
Fraud domain knowledge.
For New York, NY‑based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For San Francisco, CA‑based roles: the base salary range is USD$257,000 per year - USD$285,500 per year. For Seattle, WA‑based roles: the base salary range is USD$257,000 per year - USD$285,500 per year. For Sunnyvale, CA‑based roles: the base salary range is USD$257,000 per year - USD$285,500 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 is proud to be an Equal Opportunity/Affirmative Action 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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform
#J-18808-Ljbffr
In Summary: We are looking for an experienced Senior Staff Machine Learning Engineer to join the Account Integrity team within Trusted Identity engineering org at Uber . Work with product, data science, and eng leadership to shape the technical roadmap and problem formulations . Be responsible for the end‑to‑end of the product - ML model pipeline & system design, implementation, AB testing, and rollout .
En Español: Sobre la función Buscamos a un ingeniero de aprendizaje automático con experiencia para formar parte del equipo de integridad de cuentas dentro de Trusted Identity engineering org en Uber. El trusted identity org desempeña un papel crucial en nuestra misión de capacitar a los usuarios con experiencias digitales seguras y sin interrupciones estableciendo estándares líderes de la industria para la verificación de identidad y la prevención de fraudes, al tiempo que protege proactivamente contra el panorama evolutivo de fraude impulsado por inteligencia artificial. Nuestra obsesión continua por la innovación en este ámbito es esencial para garantizar la seguridad mientras las personas interactúan en la plataforma de Uber. Experiencia en la aplicación de ML, estadísticas o técnicas de optimización para resolver problemas del mundo real a gran escala. Para los roles basados en Nueva York, NY: La gama salarial básica para este rol es de USD $ 257.000 por año - USD $ 285.500 por año; lenguajes de programación como Python, Spark SQL, Presto, Go, Java. Grado de doctorado en Ciencias Informáticas, Ingeniería, Matemática o campo relacionado. Familiariedad con el aprendizaje multi-tareas, LLM y detección de anomalías. También consideramos a los solicitantes calificados independientemente de sus antecedentes penales, en consonancia con los requisitos legales. Si usted tiene una discapacidad o necesidad especial que requiere alojamiento, por favor háganoslo saber completando este formulario: https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform #J-18808-Ljbffr.
We are looking for an experienced Senior Staff Machine Learning Engineer to join the Account Integrity team within Trusted Identity engineering org at Uber.
The Trusted Identity org plays a crucial role in our mission to empower users with secure and seamless digital experiences by establishing industry-leading standards for identity verification and fraud prevention, while proactively safeguarding against the evolving landscape of AI-driven fraud. Our continued obsession for innovation in this space is essential to ensure safety as people interact on Uber's platform.
What the Candidate Will Need / Bonus Points
Work with product, data science, and eng leadership to shape the technical roadmap and problem formulations for the team.
Leverage algorithmic knowledge in machine learning/optimization/statistics to design robust engineering solutions to positively impact Uber's business.
Shape the MLE role and up‑level MLE talents in the org.
Be responsible for the end‑to‑end of the product - ML model pipeline & system design, implementation, AB testing, and rollout. Work with the team to productionize the solutions at scale.
Basic Qualifications
10+ years of industry experience developing machine learning models (both classical and deep learning) and shipping ML solutions to production.
Master's degree in Computer Science, Engineering, Mathematics or related field.
Strong problem‑solving skills, with expertise in ML methodologies.
Experience in applying ML, statistics, or optimization techniques to solve large‑scale real‑world problems.
Industry experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines; programming languages such as Python, Spark SQL, Presto, Go, Java.
Preferred Qualifications
PhD degree in Computer Science, Engineering, Mathematics or related field.
Familiarity with multi‑task learning, LLMs and anomaly detection.
Fraud domain knowledge.
For New York, NY‑based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For San Francisco, CA‑based roles: the base salary range is USD$257,000 per year - USD$285,500 per year. For Seattle, WA‑based roles: the base salary range is USD$257,000 per year - USD$285,500 per year. For Sunnyvale, CA‑based roles: the base salary range is USD$257,000 per year - USD$285,500 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 is proud to be an Equal Opportunity/Affirmative Action 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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform
#J-18808-Ljbffr
In Summary: We are looking for an experienced Senior Staff Machine Learning Engineer to join the Account Integrity team within Trusted Identity engineering org at Uber . Work with product, data science, and eng leadership to shape the technical roadmap and problem formulations . Be responsible for the end‑to‑end of the product - ML model pipeline & system design, implementation, AB testing, and rollout .
En Español: Sobre la función Buscamos a un ingeniero de aprendizaje automático con experiencia para formar parte del equipo de integridad de cuentas dentro de Trusted Identity engineering org en Uber. El trusted identity org desempeña un papel crucial en nuestra misión de capacitar a los usuarios con experiencias digitales seguras y sin interrupciones estableciendo estándares líderes de la industria para la verificación de identidad y la prevención de fraudes, al tiempo que protege proactivamente contra el panorama evolutivo de fraude impulsado por inteligencia artificial. Nuestra obsesión continua por la innovación en este ámbito es esencial para garantizar la seguridad mientras las personas interactúan en la plataforma de Uber. Experiencia en la aplicación de ML, estadísticas o técnicas de optimización para resolver problemas del mundo real a gran escala. Para los roles basados en Nueva York, NY: La gama salarial básica para este rol es de USD $ 257.000 por año - USD $ 285.500 por año; lenguajes de programación como Python, Spark SQL, Presto, Go, Java. Grado de doctorado en Ciencias Informáticas, Ingeniería, Matemática o campo relacionado. Familiariedad con el aprendizaje multi-tareas, LLM y detección de anomalías. También consideramos a los solicitantes calificados independientemente de sus antecedentes penales, en consonancia con los requisitos legales. Si usted tiene una discapacidad o necesidad especial que requiere alojamiento, por favor háganoslo saber completando este formulario: https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform #J-18808-Ljbffr.