Staff ML Engineer, Product Job at Truebill in San Francisco
Truebill, San Francisco, CA, United States
ABOUT ROCKET MONEY
Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey.
ABOUT THE TEAM
Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team.
ABOUT THE ROLE
As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will :
Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues.
Design, implement, and maintain robust evaluation frameworks. You ensure that ML / AI systems can be constantly improved and create frameworks so that others can do the same.
Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product.
Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts.
Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you.
Potential Projects
Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI / ML product features.
Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification.
Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement.
Architect user facing predictive features that depend on fast moving and large scale user transaction data.
ABOUT YOU
8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed.
Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation.
Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications.
Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus.
You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML / AI powered product experiences.
You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments.
You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact.
You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches.
WE OFFER
Health, Dental & Vision Plans
Competitive Pay
401k Matching
Unlimited PTO
Lunch daily (in-office only)
Snacks & Coffee (in-office only)
Commuter benefits (in-office only)
Additional information: Salary range of $210,000 - $260,000 / year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.
Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
#J-18808-Ljbffr
In Summary: Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team . Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey .
En Español: ROCKET Money ofrece a los miembros una comprensión única de sus finanzas y un conjunto de servicios valiosos que les ayudan a ahorrar tiempo y dinero, dandoles en última instancia una pierna en su viaje financiero. ABOUT THE TEAM Machine Learning Engineers at Rocket Money promueve nuestra misión mediante la construcción de productos que profundizan las relaciones con los clientes con nuestros muchos productos financieros. Nuestro trabajo va desde el enriquecimiento de transacciones hasta la personalización para herramientas interfuncionales que apoyan varias iniciativas de productos AI. Trabajamos estrechamente con equipos de producto para desarrollar características que ayuden a los clientes a entender, rastrear y mejorar sus financias personales. Tenemos una fuerte preferencia por equipos que se sientan cómodos colaborando entre equipos, saben cómo soportar estrategias con ML y experiencias impulsadas, pueden ser escalables y de alta calidad, y comprender los efectos expertos de los usuarios del producto A nivel final. Los ingenieros de máquina que implementan soluciones avanzadas de aprendizaje automático, así como nuestro equipo de diseño y desarrollo tecnológico, están preparados para llevarlos a cabo a lo mejor. Dirigirás la arquitectura y el desarrollo de características complejas basadas en IA y ML a través del conjunto de productos de Rocket Money, identificando proactivamente los desafíos técnicos antes de que se conviertan en problemas. Diseñar, implementar y mantener marcos robustos de evaluación. Asegurarte de que los sistemas de AI / ML puedan mejorar constantemente y crear marcos para que otros puedan hacer lo mismo. Desarrollar nuevas experiencias de producto que estás posicionado de manera única para permitirles a los usuarios. Ayudar a Rock Money a capitalizar su conjunto de datos único y escala. Guidar a otros para ayudar a generar impacto mediante un liderazgo técnico efectivo y una asociación con el producto. Implementar funciones de gestión y personalización de transacciones asistidas por IA como categorías personalizadas, detección de ingresos e alquileres y identificación de suscripciones. Implemente mecanismos efectivos de retroalimentación del usuario que permitan medir la calidad del producto de las características ML y una mejora constante. El usuario arquitecto se enfrenta a características predictivas que dependen de datos de transacción del usuario en movimiento rápido y a gran escala. Aproximadamente 8+ años de experiencia profesional en ingeniería de aprendizaje automático o roles de ciencia de datos, con un historial comprobado de diseño e implementación de sistemas ML a escala tecnológica de consumo y velocidad. Extensa experiencia práctica integrando métodos ML y AI en los flujos de trabajo de producción, incluida la creación de herramientas de evaluación y mecanismos eficaces de desarrollo de feedback del usuario para apoyar ciclos rápidos y evaluación sistemática de modelos. Experiencia en ingeniería rápida y administración, creando sistemas robustos para probar y tipografiando aplicaciones basados en LLM. Usted ha sido propietario del desarrollo, lanzamiento y mantenimiento de varias experiencias de productos basados en ML / IA a escala. Comprende los fundamentos básicos de la ingeniería de software e informática y los ha aplicado a una escala de nivel consumidor para construir productos basadas en ML en entornos de producción. Es un líder técnico que puede identificar oportunidades técnicas emergentes y lagunas relativas a las mejores prácticas. Sus fuertes habilidades de comunicación permiten a su equipo capitalizar estas oportunidades y generar impacto. Se preocupa por los productos y las experiencias del usuario, no las publicaciones. Eres un profesional primero y prosperas en el cruce (desordenado) del mundo real y enfoques de vanguardia. Ofrecemos Salud, Dentistry & Vision Plans Competición 401k Paying Unlimited PTO Action Lunch Benefits (sólo en la oficina) Snacks & Coffee (solo en la salario). Todos los solicitantes calificados recibirán consideración para el empleo sin tener en cuenta la raza, color, religión, sexo, orientación sexual, identidad de género, origen nacional o estatus de veterano protegido y no serán discriminados por discapacidad.
Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey.
ABOUT THE TEAM
Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team.
ABOUT THE ROLE
As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will :
Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues.
Design, implement, and maintain robust evaluation frameworks. You ensure that ML / AI systems can be constantly improved and create frameworks so that others can do the same.
Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product.
Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts.
Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you.
Potential Projects
Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI / ML product features.
Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification.
Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement.
Architect user facing predictive features that depend on fast moving and large scale user transaction data.
ABOUT YOU
8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed.
Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation.
Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications.
Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus.
You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML / AI powered product experiences.
You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments.
You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact.
You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches.
WE OFFER
Health, Dental & Vision Plans
Competitive Pay
401k Matching
Unlimited PTO
Lunch daily (in-office only)
Snacks & Coffee (in-office only)
Commuter benefits (in-office only)
Additional information: Salary range of $210,000 - $260,000 / year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.
Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
#J-18808-Ljbffr
In Summary: Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team . Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey .
En Español: ROCKET Money ofrece a los miembros una comprensión única de sus finanzas y un conjunto de servicios valiosos que les ayudan a ahorrar tiempo y dinero, dandoles en última instancia una pierna en su viaje financiero. ABOUT THE TEAM Machine Learning Engineers at Rocket Money promueve nuestra misión mediante la construcción de productos que profundizan las relaciones con los clientes con nuestros muchos productos financieros. Nuestro trabajo va desde el enriquecimiento de transacciones hasta la personalización para herramientas interfuncionales que apoyan varias iniciativas de productos AI. Trabajamos estrechamente con equipos de producto para desarrollar características que ayuden a los clientes a entender, rastrear y mejorar sus financias personales. Tenemos una fuerte preferencia por equipos que se sientan cómodos colaborando entre equipos, saben cómo soportar estrategias con ML y experiencias impulsadas, pueden ser escalables y de alta calidad, y comprender los efectos expertos de los usuarios del producto A nivel final. Los ingenieros de máquina que implementan soluciones avanzadas de aprendizaje automático, así como nuestro equipo de diseño y desarrollo tecnológico, están preparados para llevarlos a cabo a lo mejor. Dirigirás la arquitectura y el desarrollo de características complejas basadas en IA y ML a través del conjunto de productos de Rocket Money, identificando proactivamente los desafíos técnicos antes de que se conviertan en problemas. Diseñar, implementar y mantener marcos robustos de evaluación. Asegurarte de que los sistemas de AI / ML puedan mejorar constantemente y crear marcos para que otros puedan hacer lo mismo. Desarrollar nuevas experiencias de producto que estás posicionado de manera única para permitirles a los usuarios. Ayudar a Rock Money a capitalizar su conjunto de datos único y escala. Guidar a otros para ayudar a generar impacto mediante un liderazgo técnico efectivo y una asociación con el producto. Implementar funciones de gestión y personalización de transacciones asistidas por IA como categorías personalizadas, detección de ingresos e alquileres y identificación de suscripciones. Implemente mecanismos efectivos de retroalimentación del usuario que permitan medir la calidad del producto de las características ML y una mejora constante. El usuario arquitecto se enfrenta a características predictivas que dependen de datos de transacción del usuario en movimiento rápido y a gran escala. Aproximadamente 8+ años de experiencia profesional en ingeniería de aprendizaje automático o roles de ciencia de datos, con un historial comprobado de diseño e implementación de sistemas ML a escala tecnológica de consumo y velocidad. Extensa experiencia práctica integrando métodos ML y AI en los flujos de trabajo de producción, incluida la creación de herramientas de evaluación y mecanismos eficaces de desarrollo de feedback del usuario para apoyar ciclos rápidos y evaluación sistemática de modelos. Experiencia en ingeniería rápida y administración, creando sistemas robustos para probar y tipografiando aplicaciones basados en LLM. Usted ha sido propietario del desarrollo, lanzamiento y mantenimiento de varias experiencias de productos basados en ML / IA a escala. Comprende los fundamentos básicos de la ingeniería de software e informática y los ha aplicado a una escala de nivel consumidor para construir productos basadas en ML en entornos de producción. Es un líder técnico que puede identificar oportunidades técnicas emergentes y lagunas relativas a las mejores prácticas. Sus fuertes habilidades de comunicación permiten a su equipo capitalizar estas oportunidades y generar impacto. Se preocupa por los productos y las experiencias del usuario, no las publicaciones. Eres un profesional primero y prosperas en el cruce (desordenado) del mundo real y enfoques de vanguardia. Ofrecemos Salud, Dentistry & Vision Plans Competición 401k Paying Unlimited PTO Action Lunch Benefits (sólo en la oficina) Snacks & Coffee (solo en la salario). Todos los solicitantes calificados recibirán consideración para el empleo sin tener en cuenta la raza, color, religión, sexo, orientación sexual, identidad de género, origen nacional o estatus de veterano protegido y no serán discriminados por discapacidad.