Scale AI · 8 hours ago
Deep Research Agent Tech Lead
San Francisco Bay Area
Full-time
Onsite
Senior Level, Lead/Staff
$252K/yr - $315K/yr
8+ years expScale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead for their next generation of deep research agents for the Enterprise. This role will drive the technical direction and oversight for Deep Research Agent Development, focusing on integrating cutting-edge research in Generative AI and Large Language Models into scalable production systems that enhance enterprise operations.
Artificial Intelligence (AI)Data Collection and LabelingGenerative AIImage RecognitionMachine Learning
Responsibilities
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
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 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
Qualification
Required
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
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
Benefits
Comprehensive health, dental and vision coverage
Retirement benefits
A learning and development stipend
Generous PTO
A commuter stipend
Company
Scale AI
Scale’s mission is to develop reliable AI systems for the world’s most important decisions.
501-1000 employees
H1B Sponsorship
Scale AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (82)
2024 (54)
2023 (29)
2022 (17)
2021 (10)
2020 (10)
Funding
Current Stage
Late StageTotal Funding
$15.9BKey Investors
MetaAccelTiger Global Management
2025-06-10Corporate Round· $14.3B
2025-06-04Series Unknown
2024-05-21Series F· $1B
Leadership Team
Jason Droege
Interim Chief Executive Officer
Dennis Cinelli
Chief Financial Officer
Recent News
2025-12-31
Investing.com
2025-12-30
Company data provided by crunchbase