Scale AI, Inc. is hiring: Senior Machine Learning Engineer, Computer Vision - Ro
Scale AI, Inc., San Francisco, CA, United States
Senior Machine Learning Engineer, Computer Vision - Robotics
Ready to Apply?
Join the team shaping the future of AI at Scale.
Scale’s Robotics business unit is dedicated to solving the data bottleneck in Physical AI. This position will be a key contributor in conducting applied research in Robotics and developing ML pipelines for training and fine‑tuning on data collected by Scale. In this role, you will have the opportunity to advance Robotic research, shape Scale’s robotics offerings, and expand the frontier of Robotics data and model evaluation.
We are seeking an exceptionally motivated and experienced Senior Machine Learning Engineer, Computer Vision to drive cutting‑edge research and development in real‑time and offline 2D and 3D algorithms. The successful candidate will be a hands‑on technical leader responsible for translating complex computer vision algorithms from research papers into robust, production‑ready systems that power our next‑generation products.
This role requires a deep theoretical background combined with substantial practical experience working with spatial and temporal data.
You will:
Pioneer Core CV Algorithms: Lead the research, design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data (e.g point clouds).
Focus Area Expertise: Drive innovation in key perception areas, including:
3D Reconstruction and SLAM: Advanced techniques for real‑time 3D mapping, pose estimation, and environmental modeling from multi‑modal sensor inputs (e.g., RGB‑D, LiDAR).
Hand/Body Tracking: Developing robust and precise models for hand pose estimation, gesture recognition, and full‑body tracking under various lighting and occlusion conditions.
Object Detection and Tracking (MOT/SOT): Designing high‑performance deep learning models for accurate detection and persistent tracking of objects and people in video streams.
Video Processing: Creating algorithms for temporal feature extraction, video‑based action recognition, and motion analysis.
Model Optimization: Optimize computationally intensive models for deployment on edge devices (low power, low latency) and/or large‑scale cloud infrastructure.
Technical Leadership: Serve as the subject matter expert in Computer Vision, providing technical direction and mentorship to junior engineers and cross‑functional teams.
Publication & IP: Maintain state‑of‑the‑art knowledge, evaluate recent academic publications (e.g., CVPR, ICCV, ECCV), and drive the filing of patents and publication of novel research.
Cross‑Functional Partnering: Collaborate closely with Software Engineering, Product, and Hardware teams to define requirements, integrate vision systems, and ensure solutions meet performance targets.
You have:
Ph.D. in Computer Science, Computer Engineering, or a related quantitative field (Mathematics, Electrical Engineering, etc.) OR a Master’s degree with 4+ years of equivalent professional experience in an applied research setting.
5+ years of hands‑on experience in algorithm development for 2D/3D computer vision and deep learning.
Deep Learning Frameworks: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax).
Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance‑critical algorithm implementation.
2D/3D Fundamentals: In‑depth knowledge of classical and modern computer vision fundamentals, including multi‑view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles.
Building real‑time and batch ML systems that analyze structured and unstructured signals
Hands‑on experience rapidly prototyping and iterating on ML systems with changing requirements
Nice to haves:
Deep Learning Frameworks: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax).
Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance‑critical algorithm implementation.
2D/3D Fundamentals: In‑depth knowledge of classical and modern computer vision fundamentals, including multi‑view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles.
Building real‑time and batch ML systems that analyze structured and unstructured signals
Hands‑on experience rapidly prototyping and iterating on ML systems with changing requirements
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job‑related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
The base salary range for this full‑time position in the location of San Francisco is:
$218,400 — $273,000 USD
PLEASE NOTE: Our policy requires a 90‑day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high‑quality data and full‑stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
#J-18808-Ljbffr
In Summary: Scale’s Robotics business unit is dedicated to solving the data bottleneck in Physical AI . We are seeking an exceptionally motivated and experienced Senior Machine Learning Engineer, Computer Vision . The successful candidate will be a hands‑on technical leader responsible for translating complex computer vision algorithms from research papers into robust, production‑ready systems that power our next‑generation products .
En Español: Ingeniero de aprendizaje automático Senior, Computer Vision - Robotics Ready to Apply? Únete al equipo que está configurando el futuro de la IA en Scale. La unidad de negocios Scales Robotics se dedica a resolver el cuello de botella de datos en AI Física. Este puesto será una contribución clave para llevar a cabo investigaciones aplicadas en Robótica y desarrollar tuberías ML para capacitación y ajuste fino sobre los datos recopilados por Scale . En este papel, tendrás la oportunidad de avanzar en la investigación robótica, dar forma a las ofertas robóticas de Scale ?? s y ampliar la frontera de la evaluación de datos y modelos roboticos. Buscamos a un ingeniero de Machine Learning senior excepcionalmente motivado y experimentado, Computer vision para impulsar la investigación y desarrollo vanguardistas en tiempo real y fuera de línea 2D y algoritmos 3D. El candidato exitoso será un líder técnico práctico responsable de traducir los algoritmos complejos de visión por computadora de documentos de investigación (por ejemplo, nubes punto) a sistemas robustos y preparados para la producción que impulsen nuestros productos de próxima generación. Este papel requiere una profunda experiencia teórica combinada con una experiencia práctica sustancial en el trabajo con datos espaciales y temporales. Usted: Pioneer Core CV Algorithms: liderará la investigación, diseño e implementación de nuevos algoritmos de visión informática y aprendizaje profundo, con un enfoque especializado en soluciones 2D y 3D (p.ej., nube de puntos). en Ciencias de la Computación, Ingeniería Informática o un campo cuantitativo relacionado (Matemáticas, Engeniería Eléctrica, etc.) O una maestría en Python con más de 4 años de experiencia profesional equivalente en un entorno de investigación aplicada. 5+ años de experiencia práctica en el desarrollo de algoritmos para visión computarizada 2D/3D y aprendizaje profundo. Marcos de Aprendizaje Profundo: competencia experta en al menos uno de los principales marcos de aprendizaje profunda (PyTorch, TensorFlow o Jax). Programación: Maestría de Python para el aprendizaje automático y gran aptitud en C++ para la implementación del algoritmo crítico de rendimiento. Fundamentos de 2D / 3D: conocimientos profundos sobre los fundamentos básicos de la visión informática clásica y moderna, incluyendo geometría multi-vista, geometría proyectiva rápida, calibración iteración de cámaras y principios de renderización en 3D tensores. El rango que se muestra en cada puesto de trabajo refleja el objetivo mínimo y máximo para los nuevos salarios de contratación para la posición, determinado por la ubicación laboral y factores adicionales, incluidas las habilidades relacionadas con el empleo, la experiencia, el rendimiento de entrevistas y la educación o capacitación pertinentes. Los empleados a escala en roles elegibles también reciben una compensación basada en equidad, sujeta a la aprobación del Consejo de Administración. Su reclutador puede compartir más información sobre el rango salarial específico para su lugar preferido durante el proceso de contratar y confirmar si el rol contratado será elegible para obtener subvenciones de equidad. También recibirá beneficios incluyendo, pero no limitado a: Salud completa, cobertura dental y visión, prestaciones de jubilación, un estipendio de aprendizaje y desarrollo, y PTO generoso. Además, este papel puede ser elegível para beneficios adicionales como un stipendio para viajeros. Trabajamos en estrecha colaboración con líderes de la industria como Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., el Gobierno de Qatar y agencias gubernamentales estadounidenses incluyendo el Ejército y la Fuerza Aérea. Estamos expandiendo nuestro equipo para acelerar el desarrollo de aplicaciones de IA. Creemos que todo el mundo debe ser capaz de llevarse a sí mismo al trabajo, por lo que estamos orgullosos de ser un lugar de trabajo inclusivo e igualitario. Estamos comprometidos con igualdad de oportunidades de empleo independientemente de raza, color, ascendencia, religión, sexo, origen nacional, orientación sexual, edad, ciudadanía, estatus matrimonial, estado de incapacidad, género o estatus de veterano. Nos comprometemos a trabajar y proporcionar soluciones razonables a los solicitantes con discapacidades físicas y mentales. Si necesita asistencia y/o una adaptación razonable en el proceso de solicitud o reclutamiento debido a un interés personal, póngase en contacto con nosotros. Cualquier información que recopilemos en relación con su solicitud será tratada de acuerdo con nuestras políticas y programas internos diseñados para proteger los datos personales.
Ready to Apply?
Join the team shaping the future of AI at Scale.
Scale’s Robotics business unit is dedicated to solving the data bottleneck in Physical AI. This position will be a key contributor in conducting applied research in Robotics and developing ML pipelines for training and fine‑tuning on data collected by Scale. In this role, you will have the opportunity to advance Robotic research, shape Scale’s robotics offerings, and expand the frontier of Robotics data and model evaluation.
We are seeking an exceptionally motivated and experienced Senior Machine Learning Engineer, Computer Vision to drive cutting‑edge research and development in real‑time and offline 2D and 3D algorithms. The successful candidate will be a hands‑on technical leader responsible for translating complex computer vision algorithms from research papers into robust, production‑ready systems that power our next‑generation products.
This role requires a deep theoretical background combined with substantial practical experience working with spatial and temporal data.
You will:
Pioneer Core CV Algorithms: Lead the research, design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data (e.g point clouds).
Focus Area Expertise: Drive innovation in key perception areas, including:
3D Reconstruction and SLAM: Advanced techniques for real‑time 3D mapping, pose estimation, and environmental modeling from multi‑modal sensor inputs (e.g., RGB‑D, LiDAR).
Hand/Body Tracking: Developing robust and precise models for hand pose estimation, gesture recognition, and full‑body tracking under various lighting and occlusion conditions.
Object Detection and Tracking (MOT/SOT): Designing high‑performance deep learning models for accurate detection and persistent tracking of objects and people in video streams.
Video Processing: Creating algorithms for temporal feature extraction, video‑based action recognition, and motion analysis.
Model Optimization: Optimize computationally intensive models for deployment on edge devices (low power, low latency) and/or large‑scale cloud infrastructure.
Technical Leadership: Serve as the subject matter expert in Computer Vision, providing technical direction and mentorship to junior engineers and cross‑functional teams.
Publication & IP: Maintain state‑of‑the‑art knowledge, evaluate recent academic publications (e.g., CVPR, ICCV, ECCV), and drive the filing of patents and publication of novel research.
Cross‑Functional Partnering: Collaborate closely with Software Engineering, Product, and Hardware teams to define requirements, integrate vision systems, and ensure solutions meet performance targets.
You have:
Ph.D. in Computer Science, Computer Engineering, or a related quantitative field (Mathematics, Electrical Engineering, etc.) OR a Master’s degree with 4+ years of equivalent professional experience in an applied research setting.
5+ years of hands‑on experience in algorithm development for 2D/3D computer vision and deep learning.
Deep Learning Frameworks: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax).
Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance‑critical algorithm implementation.
2D/3D Fundamentals: In‑depth knowledge of classical and modern computer vision fundamentals, including multi‑view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles.
Building real‑time and batch ML systems that analyze structured and unstructured signals
Hands‑on experience rapidly prototyping and iterating on ML systems with changing requirements
Nice to haves:
Deep Learning Frameworks: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax).
Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance‑critical algorithm implementation.
2D/3D Fundamentals: In‑depth knowledge of classical and modern computer vision fundamentals, including multi‑view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles.
Building real‑time and batch ML systems that analyze structured and unstructured signals
Hands‑on experience rapidly prototyping and iterating on ML systems with changing requirements
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job‑related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
The base salary range for this full‑time position in the location of San Francisco is:
$218,400 — $273,000 USD
PLEASE NOTE: Our policy requires a 90‑day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high‑quality data and full‑stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
#J-18808-Ljbffr
In Summary: Scale’s Robotics business unit is dedicated to solving the data bottleneck in Physical AI . We are seeking an exceptionally motivated and experienced Senior Machine Learning Engineer, Computer Vision . The successful candidate will be a hands‑on technical leader responsible for translating complex computer vision algorithms from research papers into robust, production‑ready systems that power our next‑generation products .
En Español: Ingeniero de aprendizaje automático Senior, Computer Vision - Robotics Ready to Apply? Únete al equipo que está configurando el futuro de la IA en Scale. La unidad de negocios Scales Robotics se dedica a resolver el cuello de botella de datos en AI Física. Este puesto será una contribución clave para llevar a cabo investigaciones aplicadas en Robótica y desarrollar tuberías ML para capacitación y ajuste fino sobre los datos recopilados por Scale . En este papel, tendrás la oportunidad de avanzar en la investigación robótica, dar forma a las ofertas robóticas de Scale ?? s y ampliar la frontera de la evaluación de datos y modelos roboticos. Buscamos a un ingeniero de Machine Learning senior excepcionalmente motivado y experimentado, Computer vision para impulsar la investigación y desarrollo vanguardistas en tiempo real y fuera de línea 2D y algoritmos 3D. El candidato exitoso será un líder técnico práctico responsable de traducir los algoritmos complejos de visión por computadora de documentos de investigación (por ejemplo, nubes punto) a sistemas robustos y preparados para la producción que impulsen nuestros productos de próxima generación. Este papel requiere una profunda experiencia teórica combinada con una experiencia práctica sustancial en el trabajo con datos espaciales y temporales. Usted: Pioneer Core CV Algorithms: liderará la investigación, diseño e implementación de nuevos algoritmos de visión informática y aprendizaje profundo, con un enfoque especializado en soluciones 2D y 3D (p.ej., nube de puntos). en Ciencias de la Computación, Ingeniería Informática o un campo cuantitativo relacionado (Matemáticas, Engeniería Eléctrica, etc.) O una maestría en Python con más de 4 años de experiencia profesional equivalente en un entorno de investigación aplicada. 5+ años de experiencia práctica en el desarrollo de algoritmos para visión computarizada 2D/3D y aprendizaje profundo. Marcos de Aprendizaje Profundo: competencia experta en al menos uno de los principales marcos de aprendizaje profunda (PyTorch, TensorFlow o Jax). Programación: Maestría de Python para el aprendizaje automático y gran aptitud en C++ para la implementación del algoritmo crítico de rendimiento. Fundamentos de 2D / 3D: conocimientos profundos sobre los fundamentos básicos de la visión informática clásica y moderna, incluyendo geometría multi-vista, geometría proyectiva rápida, calibración iteración de cámaras y principios de renderización en 3D tensores. El rango que se muestra en cada puesto de trabajo refleja el objetivo mínimo y máximo para los nuevos salarios de contratación para la posición, determinado por la ubicación laboral y factores adicionales, incluidas las habilidades relacionadas con el empleo, la experiencia, el rendimiento de entrevistas y la educación o capacitación pertinentes. Los empleados a escala en roles elegibles también reciben una compensación basada en equidad, sujeta a la aprobación del Consejo de Administración. Su reclutador puede compartir más información sobre el rango salarial específico para su lugar preferido durante el proceso de contratar y confirmar si el rol contratado será elegible para obtener subvenciones de equidad. También recibirá beneficios incluyendo, pero no limitado a: Salud completa, cobertura dental y visión, prestaciones de jubilación, un estipendio de aprendizaje y desarrollo, y PTO generoso. Además, este papel puede ser elegível para beneficios adicionales como un stipendio para viajeros. Trabajamos en estrecha colaboración con líderes de la industria como Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., el Gobierno de Qatar y agencias gubernamentales estadounidenses incluyendo el Ejército y la Fuerza Aérea. Estamos expandiendo nuestro equipo para acelerar el desarrollo de aplicaciones de IA. Creemos que todo el mundo debe ser capaz de llevarse a sí mismo al trabajo, por lo que estamos orgullosos de ser un lugar de trabajo inclusivo e igualitario. Estamos comprometidos con igualdad de oportunidades de empleo independientemente de raza, color, ascendencia, religión, sexo, origen nacional, orientación sexual, edad, ciudadanía, estatus matrimonial, estado de incapacidad, género o estatus de veterano. Nos comprometemos a trabajar y proporcionar soluciones razonables a los solicitantes con discapacidades físicas y mentales. Si necesita asistencia y/o una adaptación razonable en el proceso de solicitud o reclutamiento debido a un interés personal, póngase en contacto con nosotros. Cualquier información que recopilemos en relación con su solicitud será tratada de acuerdo con nuestras políticas y programas internos diseñados para proteger los datos personales.