Agents Research Lead Job at The General Intelligence Company of New York (New York)

Deep Research Agent Tech Lead

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machin...

Location

United States , San Francisco; New York

Salary:

252000.00 - 315000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

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

Job Responsibility

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

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO

Fulltime

AI Research Lead

Perplexity is seeking an exceptional AI Research Tech Lead to drive our research...

Location

United States , San Francisco

Salary:

300000.00 - 470000.00 USD / Year

Perplexity

Expiration Date

Until further notice

Requirements

Minimum of 5 years of experience working on relevant AI/ML projects with 3+ years in a technical leadership role
Proven track record of leading and mentoring technical and research teams
A Computer Science graduate degree at a premier academic institution
Deep expertise with large-scale LLMs and Deep Learning systems
Strong programming skills with versatility across multiple languages and frameworks
Demonstrated ability to set technical vision and drive execution
Experience with pre-training and post-training techniques (self-supervised learning along with SFT/DPO/GRPO/PPO)
Self-starter with exceptional ownership mentality and ability to work in ambiguous environments
Passion for solving challenging problems and pushing the boundaries of AI research

Job Responsibility

Define and execute the macro research direction across multiple modalities, including post-training LLMs for agent trajectories and future mid-training initiatives
Lead strategic research planning and roadmap development to advance Sonar model capabilities
Drive innovation in supervised and reinforcement learning techniques for query answering
Collaborate with leadership to align research priorities with product and business objectives
Coach and mentor a team of AI research scientists and engineers, fostering their technical and professional growth
Establish the long-term macro research direction across the team, including our direction across different modalities
Lead hiring and onboarding of new research talent
Create a collaborative environment that encourages knowledge sharing and innovation
Post-train SOTA LLMs on query answering using cutting-edge supervised and reinforcement learning techniques
Own and optimize the full stack data, training, and evaluation pipelines required for LLM post-training

What we offer

Equity
Health
Dental
Vision
Retirement
Fitness
Commuter and dependent care accounts

Fulltime

Senior Principal Research Manager - Agentic Innovation

The M365 Research group at Microsoft is driving applied research and innovation ...

Location

United States , Redmond

Salary:

163000.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience
OR equivalent experience
3+ years of people management experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Define and own long‑term research and incubation agenda for Agentic Systems
Lead and grow a team of researchers providing technical direction, mentorship, and career development
Drive research for agentic systems for high‑impact enterprise use cases such as: enterprise productivity and coding agents
Incubate next‑generation agent architectures, including multi‑step reasoning, planning, reflection, multi‑agent collaboration, and self‑improving systems
Partner closely with product, engineering, and Microsoft leadership to translate research into real‑world impact
Publish in top-tier conferences and journals, and contribute to the broader research community through open-source contributions and thought leadership

Fulltime

Research Engineer – Agentic Platforms

The Office of the Chief Technology Officer (OCTO) is building the next generatio...

Location

Mexico

Salary:

Not provided

Teradata

Expiration Date

Until further notice

Requirements

Deep hands-on expertise with large language model APIs and inference frameworks (e.g., OpenAI, Anthropic, Mistral, vLLM, Ollama, HuggingFace Transformers)
Strong practical experience designing and building multi-agent systems using agentic SDKs and orchestration frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or equivalent
Proficiency in Python and experience building production-grade AI/ML services with clean, well-documented, testable code
Solid understanding of RAG architectures, vector databases (e.g., Pinecone, Weaviate, pgvector), and knowledge retrieval patterns
Experience with prompt engineering, LLM evaluation methodologies, and strategies for improving agent reliability and reducing hallucination
Familiarity with LLM inference optimization techniques including quantization, batching, caching, and model serving infrastructure
5+ years of software engineering experience, with at least 2 years focused on LLM-based systems, agentic workflows, or applied AI research
Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field, or equivalent demonstrated expertise
Proven track record designing and shipping multi-agent or LLM-powered systems into production environments
Experience collaborating across research and engineering teams to move from prototype to scalable, maintainable platform capability

Job Responsibility

Design and implement multi-agent systems that coordinate specialized LLM-powered agents to solve complex, multi-step analytical and operational tasks
Design agent orchestration patterns including task decomposition, inter-agent communication, tool use, memory management, and feedback loops
Build scalable agentic pipelines that integrate with Teradata’s data platform, enabling agents to query, analyze, and act on enterprise data autonomously
Design and manage LLM inference pipelines optimized for latency, throughput, and cost across cloud and on-premises deployments
Evaluate, benchmark, and select appropriate foundation models (open-source and proprietary) for specific agentic tasks within the Teradata ecosystem
Implement advanced prompting strategies including chain-of-thought, retrieval-augmented generation (RAG), and tool-augmented reasoning to maximize agent reliability and accuracy
Build and extend internal agentic SDKs and frameworks that enable research and product teams to rapidly develop and deploy agent-based applications
Integrate with leading agentic platforms and toolkits (e.g., LangChain, LlamaIndex, AutoGen, CrewAI, Anthropic Claude SDKs) and adapt them for enterprise-grade reliability
Develop reusable agent components, tool connectors, and evaluation harnesses that accelerate the path from prototype to production
Collaborate with research teams to translate cutting-edge LLM and agent research into production-ready platform capabilities

What we offer

People-first culture
Flexible work model
Focus on well-being
Inclusive environment

Fulltime

Member of technical staff - Research - Agent

About H: H exists to push the boundaries of superintelligence with agentic AI. B...

Location

France; United Kingdom , Paris; London

Salary:

Not provided

H Company

Expiration Date

Until further notice

Requirements

Senior Experience: Previous demonstrable role(s) as a Staff, Principal, or Senior Engineer (or equivalent Research Scientist) in a Frontier AI Lab with a proven track record of leading complex, end-to-end AI/ML projects from conception to production
Education / Publication: Preferably PhD (or equivalent research experience) in Machine Learning, Computer Science, or a related field, preferably with a strong publication record (e.g., NeurIPS, ICML, ICLR) in Computer Science
Core Expertise: Deep theoretical and practical expertise in Agentic AI and proven experience building, scaling, and shipping solutions involving foundation models (LLMs/VLMs)
Soft Skills: Collaborative: Enjoys collaboration and thrives in a teamwork-oriented, fast-paced research environment
High-Impact Communicator: Possesses impactful communication skills, with the ability to bridge the gap between research and engineering and articulate complex ideas clearly
Mission-Driven: Genuinely eager to explore and solve the new engineering and research challenges at the frontier of agentic AI

Job Responsibility

Research & Leadership: Design and develop new agents, proposing new research directions, e.g., combining state-of-the-art RL with foundation models (LLMs/VLMs)
Algorithm & Systems Design: Design, implement, and scale complex, high-performance systems for training large-scale agents. This includes both the foundational infrastructure and the novel algorithms, reward models, and sophisticated training environments
Research-to-Production: Collaborate closely with researchers and engineers to implement, test, and productionize new agent logics, learning algorithms, and system architectures
Evaluation & Reliability: Create, manage, and scale massive benchmarks and evaluation systems to rigorously track agent capabilities. You will own system reliability, scalability, and observability for our entire research infrastructure
Mentorship & Standards: Mentor and guide other engineers and researchers on the team, fostering technical excellence. You will establish and enforce engineering standards, tooling, and best practices for both code and research design
Innovation: Conduct thorough code and design reviews, champion technical innovation, and proactively address technical debt to accelerate the R&D lifecycle

What we offer

Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups
Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment
Enjoy a competitive salary
Unlock opportunities for professional growth, continuous learning, and career development

Fulltime

Machine Learning Research Engineer, GenAI Applied ML

Lead applied ML engineering on Scale's Applied ML team, powering data infrastruc...

Location

United States , San Francisco; New York

Salary:

176000.00 - 220000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

PhD or MSc in Computer Science, Mathematics, Statistics, or related field
3+ years shipping scaled production ML systems
Demonstrated real-world impact
Mastery of PyTorch, TensorFlow, JAX, or scikit-learn
Deep expertise in agentic LLMs and multi-agent systems
Strong software engineering and microservices (AWS/GCP)
Rapid, data-driven iteration
Proficiency using AI tools to accelerate work
Strong research depth with practical bias
Excellent cross-functional communication

Job Responsibility

Build and deploy multi-agent systems for agentic reasoning validation
Develop pipelines to detect errors and scale human judgment
Combine classical ML, LLMs, and multi-agent techniques for reliability
Lead research into agent failure modes and ship fixes
Use AI tools to speed prototyping and iteration
Build data-driven evaluations and deploy rapid improvements
Integrate systems into Scale's platform

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO

Fulltime

Vice President of Medical Oncology Research

The Vice President of Medical Oncology Research is an executive within the Dana-...

Location

United States , Boston

Salary:

Not provided

Dana-Farber Cancer Institute

Expiration Date

Until further notice

Requirements

At least 10 years of experience in a scientific academic health care or a like setting
At least 5 to 7 years of experience in a key senior leadership role supporting a research environment
A relevant advanced degree such as an MBA, MPH or MHA is preferred
Demonstrated experience leading research operations in a complex organization
Highly knowledgeable about research administration and financial management functions within an academic medical environment
Demonstrated experience working with large governmental research organizations
Demonstrated experience and ability to understand the business of science
Strong demonstrated financial planning and management experience
Demonstrated ability to directly manage large matrixed teams
Strong quantitative, analytic, and problem-solving skills

Job Responsibility

Develop and implement a comprehensive, multi-year research roadmap
Conduct recurring resource allocation and growth assessments
Lead strategic planning for research growth across 9 buildings
Foster a culture of innovation, collaboration, and scientific excellence
Serve as the centralized research-specific point of contact
Act as the go-to expert and advocate for broad and complex research issues
Maintain a direct reporting line to the SVP
Provide functional expertise in research administration
Oversee and support the development of high-impact research programs
Promote integration of wet and dry lab research

Fulltime

Manager, Machine Learning Research Scientist, GenAI

Scale AI accelerates the development of AI systems by providing the data, infras...

Location

United States , San Francisco; Seattle; New York

Salary:

239400.00 - 299300.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains
A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)
Experience and track of recording in landing major research impacts in a fast-paced environment
Experience leading or managing research teams. You’re excited to mentor, coach and develop talent
Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders

Job Responsibility

Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments)
Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution
Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes
Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally
Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent
Stay deeply connected to the research community, understanding major trends, and helping set them
Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO

Fulltime

Agents Research Lead

The General Intelligence Company of New York

Location:
United States , New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 21, 2026

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