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

New

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

New

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

New

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

New

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

New

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

AI Software Engineer - NLP/LLM

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s o...

Location

United States , New York

Salary:

159300.00 - 230850.00 USD / Year

Moody's

Expiration Date

Until further notice

Requirements

5+ years of demonstrated experience building production-grade machine learning systems with measurable impacts
expertise in NLP and search and recommendation systems is preferred
Hands-on experience with large language model (LLM) applications and AI agents, including retrieval-augmented generation, prompt optimization, fine-tuning, agent design, and evaluation methodologies
familiarity with prompt optimization frameworks like DSPy is preferred
Deep expertise in machine learning models and systems design, including classic models (e.g., XGBoost), modern deep learning and graph machine learning architectures (e.g., transformers-based models, graph neural networks (GNN)), and reinforcement learning systems
Proven ability to take models and agents from research to production, including optimization for latency and cost, implementation of monitoring and tracing, and development of reusable platforms or frameworks
Strong technical leadership and mentorship skills, with a track record of growing engineers, improving team velocity through automation, documentation, and tooling, and influencing architectural decisions without direct authority
Excellent communication and strategic thinking abilities, capable of aligning technical decisions with business outcomes, navigating ambiguity, and driving cross-functional collaboration
Bachelor’s degree or higher in Computer Science, Engineering, or a related field

Job Responsibility

Design and deploy end to end AI and machine learning solutions including machine learning and graph-based models, natural language processing (NLP) models, and large language model (LLM) based AI agents
Build robust pipelines for data ingestion, feature engineering, model training, validation, and real-time or batch inference
Develop and integrate large language model (LLM) applications using techniques such as fine-tuning, retrieval-augmented generation, and reinforcement learning
Build autonomous agents capable of multi-step reasoning and tool use in production environments
Lead the full model and agent development lifecycle, from problem definition and data exploration through experimentation, implementation, deployment, and monitoring
Ensure solutions are scalable, reliable, and aligned with business goals
Advocate and implement machine learning operations (MLOps) best practices including data monitoring and tracing, error analysis, automated retraining, model and prompt versioning, business metrics monitoring, and incident response
Collaborate across disciplines and provide technical leadership, working with product managers, engineers, and researchers to deliver impactful solutions
Mentor team members, lead design reviews, and promote best practices in AI and machine learning systems development

What we offer

medical
dental
vision
parental leave
paid time off
a 401(k) plan with employee and company contribution opportunities
life, disability, and accident insurance
a discounted employee stock purchase plan
tuition reimbursement

Fulltime

New

Research Scientist, Human AI Interaction

As a Research Scientist, Human–AI Interaction, you will play a pivotal role in d...

Location

United States , San Francisco, CA, New York, NY

Salary:

350000.00 - 420000.00 USD / Year

Handshake

Expiration Date

Until further notice

Requirements

PhD or equivalent experience in Human–Computer Interaction, Computer Science, Cognitive Science, or a related field, with a strong emphasis on empirical evaluation of interactive AI/LLM systems
3+ years of academic or industry research experience post-PhD, including leadership on complex research initiatives and analyzing data from a real AI product
Strong publication record, with demonstrated impact in top-tier AI (NeurIPS, ICML, ICLR, ACL) and HCI (CHI) venues
Deep expertise in experimental design and measurement, particularly for: Task performance and human activity
Comparative evaluation frameworks
Mixed-methods research grounded in real-world behavior
Strong technical and coding skills, including: Python and data analysis / ML tooling
Experience building experimental systems and benchmark infrastructure
Familiarity working with LLM APIs, agent frameworks, or AI-assisted tooling
Proven ability to define and lead research agendas that connect human work, AI capability, and business or economic impact

Job Responsibility

Lead high-impact research on jobs-to-be-done benchmarks for AI systems, including: Defining task taxonomies grounded in real professional and economic activities
Identifying what constitutes meaningful task completion, quality, and success
Translating qualitative work understanding into measurable, repeatable benchmarks
Develop methods to measure human activity in AI-mediated workflows
Design benchmarks to assess AI-as-a-collaborator/copilot, rather than autonomous agents / basic Q&A
Design and run empirical studies of how people use AI to solve tasks, including: Controlled experiments and field studies measuring task performance
Instrumentation for capturing fine-grained interaction traces and outcomes
Drive strategy for professional-domain AI benchmarks, focusing on: Understanding domain-specific workflows (e.g., analysis, writing, planning, coordination)
Grounding benchmark design in how work is actually performed, not idealized tasks
Build and prototype AI systems and evaluation infrastructure to support research and Data production, including: LLM-powered copilots and experimental tools used for task-level measurement

What we offer

Equity in a fast-growing company
401(k) match, competitive compensation, financial coaching
Paid parental leave, fertility benefits, parental coaching
Medical, dental, and vision, mental health support, $500 wellness stipend
$2,000 learning stipend, ongoing development
Internet, commuting, and free lunch/gym in our SF office
Flexible PTO, 15 holidays + 2 flex days, winter #ShakeBreak where our whole office closes for a week
Team outings & referral bonuses

Fulltime

Assistant Professor Computing Science and Game Design

We are seeking a dynamic and forward-thinking Assistant Professor to join the fo...

Location

India , Bengaluru

Salary:

Not provided

Emeritus

Expiration Date

Until further notice

Requirements

Experience of delivering teaching and assessment as relevant to computer science and game design and/or other audiovisual media (e.g. film) in a Higher Education context or equivalent
Experience working and/or teaching about games industry
Experience coding languages relevant to teaching in Computer Science and Game Design
Ph.D. in Computer Science or a closely related field, with a minimum of 2–10 years of academic, including significant contributions to both undergraduate and postgraduate education
Be able to demonstrate the ability to develop high-quality research
Proven ability to design, develop, and deliver high quality course materials in Computer Science and Game Design demonstrating pedagogical effectiveness and curriculum alignment
Active engagement with subject specific pedagogic research or educational networks, reflecting a commitment to continuous improvement and evidence-based teaching practices
Evidence of high-quality research outputs, evidenced by conference and journal papers in internationally leading venues
Ability to work independently, manage multiple priorities, and contribute effectively to departmental and institutional goals
Ability to work effectively with others in the planning, delivery, and assessment of teaching activity

Job Responsibility

To contribute to the design, development, delivery, assessment, and administration of undergraduate and postgraduate courses offered
To provide academic supervision for undergraduate dissertations and MSc. project work
To supervise and support students directly, identifying learning needs, defining learning objectives, and maintaining a high standard of academic guidance and mentorship
To engage with innovative, inclusive, and modern pedagogical approaches, implementing best practices in university teaching and learning
To contribute to ongoing curriculum enhancement, ensuring alignment with international academic standards, research advancements, and evolving industry needs
To undertake academic and administrative duties as assigned by your academic line manager
To participate actively in the development and delivery of the School’s strategic and operational objectives
To conduct cutting edge research in field of Computing Science/Game Design closely related to our core research and interdisciplinary research strengths within agent-based research, machine learning, cybersecurity and privacy, natural language generation, human-centred computing and data science
Develop collaborative research links with our academic staff in our home campus in Liverpool
To prepare and submit manuscripts for publications in leading international conferences and journals

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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