Scale AI, Inc. is hiring: Deep Research Agent Tech Lead in San Francisco
Scale AI, Inc., San Francisco, CA, United States
Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development , translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency.
The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus.
Responsibilities Technical Leadership & Vision Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI’s overall AI strategy and business goals.
Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities .
Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises.
Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas.
Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base.
Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale.
Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems.
Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth.
Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team.
Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions.
Basic Qualifications Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.
8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment.
2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain.
Deep expertise in Generative AI and Large Language Models (LLMs) .
Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale.
Experience with large-scale distributed systems and real-time data processing.
Preferred Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field.
Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization.
Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms.
Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems.
Experience with vector databases and advanced retrieval techniques.
A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD).
Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers.
Experience driving cross-team technical initiatives that have delivered significant business impact.
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:
$252,000 — $315,000 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 AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise . This high-impact role will drive the technical direction and oversight for Deep Research Agent Development . The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring .
En Español: La IA de escala está buscando un ingeniero altamente técnico y estratégico para el aprendizaje automático del personal senior para actuar como líder tecnológico (TL) para nuestra próxima generación de agentes de investigación profunda para la empresa. Este papel de alto impacto impulsará la dirección técnica y supervisión para el Desarrollo de Agentes de Investigación Profunda, traduciendo una estrategia técnica a largo plazo para un dominio crítico mientras se mantiene un enfoque sólido de entrega. Responsabilidades Liderazgo Técnico & Visión Establecer la hoja de ruta: Definir y poseer la estrategia tecnológica rigurosa, e integrar las mejores prácticas de gestión del conocimiento en base al desarrollo de los sistemas de inteligencia artificial avanzada y ingeniería mecánica. Para propósitos de transparencia salarial, el rango salarial básico para este puesto a tiempo completo en las ubicaciones de San Francisco, Nueva York, Seattle es: $ 252.000 $ 315.000 USD NOTA: Nuestra política requiere un período de espera de 90 días antes de reconsiderar candidatos para el mismo papel. Esto nos permite garantizar una evaluación justa y exhaustiva de todos los solicitantes. Sobre nosotros: A escala, nuestra misión es desarrollar sistemas de IA confiables para las decisiones más importantes del mundo. Si necesita asistencia y/o un alojamiento razonable en el proceso de solicitud o contratación debido a una discapacidad, póngase en contacto con nosotros en accommodations@scale.com. Consulte el cartel Know Your Rights del Departamento de Trabajo de los Estados Unidos para obtener información adicional. NOTA: Recopilamos, conservamos y utilizamos datos personales para nuestros propósitos comerciales profesionales, incluido notificarle sobre oportunidades de trabajo que puedan ser de interés y compartirlos con nuestras afiliadas. Limitamos los Datos personales que recopilamos a lo que creemos apropiado y necesario para gestionar las necesidades de los solicitantes, proporcionar nuestros servicios y cumplir con las leyes aplicables. Cualquier información que recojamos en relación con su aplicación será tratada de acuerdo con nuestras políticas internas y programas diseñados para proteger los datos personalizados. Por favor consulte nuestra política de privacidad para obtener más información. #J-18808-Ljbffr
The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus.
Responsibilities Technical Leadership & Vision Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI’s overall AI strategy and business goals.
Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities .
Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises.
Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas.
Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base.
Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale.
Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems.
Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth.
Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team.
Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions.
Basic Qualifications Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.
8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment.
2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain.
Deep expertise in Generative AI and Large Language Models (LLMs) .
Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale.
Experience with large-scale distributed systems and real-time data processing.
Preferred Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field.
Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization.
Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms.
Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems.
Experience with vector databases and advanced retrieval techniques.
A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD).
Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers.
Experience driving cross-team technical initiatives that have delivered significant business impact.
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:
$252,000 — $315,000 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 AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise . This high-impact role will drive the technical direction and oversight for Deep Research Agent Development . The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring .
En Español: La IA de escala está buscando un ingeniero altamente técnico y estratégico para el aprendizaje automático del personal senior para actuar como líder tecnológico (TL) para nuestra próxima generación de agentes de investigación profunda para la empresa. Este papel de alto impacto impulsará la dirección técnica y supervisión para el Desarrollo de Agentes de Investigación Profunda, traduciendo una estrategia técnica a largo plazo para un dominio crítico mientras se mantiene un enfoque sólido de entrega. Responsabilidades Liderazgo Técnico & Visión Establecer la hoja de ruta: Definir y poseer la estrategia tecnológica rigurosa, e integrar las mejores prácticas de gestión del conocimiento en base al desarrollo de los sistemas de inteligencia artificial avanzada y ingeniería mecánica. Para propósitos de transparencia salarial, el rango salarial básico para este puesto a tiempo completo en las ubicaciones de San Francisco, Nueva York, Seattle es: $ 252.000 $ 315.000 USD NOTA: Nuestra política requiere un período de espera de 90 días antes de reconsiderar candidatos para el mismo papel. Esto nos permite garantizar una evaluación justa y exhaustiva de todos los solicitantes. Sobre nosotros: A escala, nuestra misión es desarrollar sistemas de IA confiables para las decisiones más importantes del mundo. Si necesita asistencia y/o un alojamiento razonable en el proceso de solicitud o contratación debido a una discapacidad, póngase en contacto con nosotros en accommodations@scale.com. Consulte el cartel Know Your Rights del Departamento de Trabajo de los Estados Unidos para obtener información adicional. NOTA: Recopilamos, conservamos y utilizamos datos personales para nuestros propósitos comerciales profesionales, incluido notificarle sobre oportunidades de trabajo que puedan ser de interés y compartirlos con nuestras afiliadas. Limitamos los Datos personales que recopilamos a lo que creemos apropiado y necesario para gestionar las necesidades de los solicitantes, proporcionar nuestros servicios y cumplir con las leyes aplicables. Cualquier información que recojamos en relación con su aplicación será tratada de acuerdo con nuestras políticas internas y programas diseñados para proteger los datos personalizados. Por favor consulte nuestra política de privacidad para obtener más información. #J-18808-Ljbffr