Deep Research Agent Tech Lead

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 AIs 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.
• Core Agent Capabilities Development:
• 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 agents 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.

Team Leadership & Mentorship

• 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

• Bachelors 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 (Masters 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 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 worlds most important decisions. Our products provide the high-quality data and full-stack technologies that power the worlds 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 Please see the United States Department of Labors Know Your Rights poster for additional information.

We comply with the United States Department of Labors Pay Transparency provision.

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