CrawlJobs Logo

Senior Manager, Applied AI Research

United States, San Francisco 270000.00 - 320000.00 USD / Year · Job Posted February 18, 2026
Apply Position
Job Link Share

Job Description

You will be responsible for developing cutting-edge human-in-the-loop systems that move beyond labeling to guiding experts on complex, multi-step tasks. From rapidly prototyping and testing methods with 1000s of users to innovating core data-centric methods, you will have the opportunity to lead how data that powers the next generation of frontier models is created and curated.

Job Responsibility

  • Team Building & Leadership: Recruit for and lead a team of applied researchers, setting the team’s culture and setting a high standard for quality and velocity
  • The Research-to-Product Bridge: Act as the primary link between Research, Product, and Engineering. You will oversee the development of experimental POCs to improve workflow efficiencies and ensure these innovations are successfully hardened and integrated into the platform
  • Frontier Data Research: Collaborate with academic and industry-leading AI labs to define the data-centric techniques that will help power the next generation of foundation models.
  • Strategic Roadmapping: Anticipate the next bottlenecks in the AI data (e.g., automated RLHF, agentic evaluation, or specialized model alignment) and pivot the team to develop the programmatic solutions that address them
  • Operational Excellence: Partner with the Operations team to validate research-driven workflows in real-world production environments, ensuring they scale across diverse and complex domain-specific tasks

Requirements

  • 5+ years of experience in applied AI, research or machine learning roles
  • At least 4+ years of experience managing technical teams
  • A player coach who is willing to be hands-on with coding, research, customer-facing engagements
  • A proven track record of thriving in fast-paced, ambiguous environments, comfortable managing competing priorities across cross-functional stakeholders in Product, Engineering, and GTM
  • Enjoys solving real-world problems in the data space and bridging research and production
  • Strong, practical experience working with LLMs, agentic workflow

Nice to have

Experience with data annotation workflows and/or building internal tooling for them

What we offer

Reasonable accommodation for individuals with disabilities

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Senior Manager, Applied AI Research

8 matching positions

Senior Program Manager, AI Enabled Sponsored Research

The Senior Program Manager, AI Enabled Sponsored Research will manage and lead t...
Location
Location
United States , Boston
Salary
Salary:
Not provided
hbs.edu Logo
HBS
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • B.A., B.S., or equivalent Bachelor’s Degree is required
  • 7+ years work experience or equivalent combination of education and experience required
  • Strong interpersonal skills and demonstrated experience communicating professionally with faculty or executive audiences
  • Master's degree preferred
  • Experience applying for grants is strongly preferred
  • Experience in higher education or research
  • Demonstrated understanding of research methods and protocols preferred
  • Ability to set and manage competing priorities in fast-paced environment while maintaining a keen attention to detail
  • Ability to troubleshoot obstacles with proactivity and collaboration
Job Responsibility
Job Responsibility
  • Uses AI tools to facilitate identification of opportunities and creation of award materials
  • Identifies opportunities for use of agentic AI and other tools to accelerate workflow and develops strategy for deployment and adoption
  • Confidently represents research needs to external and internal stakeholders
  • Identifies grant opportunities and assists corporate alliances in vetting corporate sponsored opportunities
  • Facilitates matching funding opportunities to faculty
  • For corporate sponsored research, navigates transition from corporate alliances to research team
  • Helps translate research and its needs for a corporate audience
  • Works closely with faculty to develop award materials including scope of work, budget, and budget justification
  • Ensures compliance with federal regulations and University, HBS, and sponsor policies
  • Shepherds awards through HBS approval process and legal agreements with Harvard’s Office of Technology Development (OTD) and Office of Sponsored Programs (OSP)
What we offer
What we offer
  • Generous paid time off including parental leave
  • Medical, dental, and vision health insurance coverage starting on day one
  • Retirement plans with university contributions
  • Wellbeing and mental health resources
  • Support for families and caregivers
  • Professional development opportunities including tuition assistance and reimbursement
  • Commuter benefits, discounts and campus perks
  • Fulltime
Read More
Arrow Right

Product Manager, Applied Research

Luma's mission is to build unified general intelligence that can generate, under...
Location
Location
United States , SF Bay Area
Salary
Salary:
Not provided
lumalabs.ai Logo
Luma AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Principal or Staff-level product management experience (L6 seniority or above) with a track record of bridging pure research and ambitious product development at an AI lab or applied AI company
  • You are genuinely comfortable in a research environment — you can read evaluations, understand what they mean, ask the right questions, and help researchers see the product implications of their work
  • You've shipped products that originated in research — not just optimized existing products, but taken emergent capabilities and turned them into new product surfaces
  • You can build prototypes yourself — you have the technical depth to work directly with models, write prompts, test hypotheses, and validate ideas before involving a full engineering team
  • You operate with extremely high agency and a strong self-starter mentality — research environments are inherently ambiguous and this role has no existing playbook
  • You have a general manager mindset — you can evaluate research directions not just for technical novelty but for commercial viability and customer impact
  • You bring a mix of large-company and earlier-stage experience — you understand both the pace of a research lab and the urgency of a startup building a commercial business
  • You can influence without authority — researchers don't report to you, but your input on priorities needs to carry weight because it's well-informed and well-reasoned
Job Responsibility
Job Responsibility
  • Own the product strategy for translating Luma's frontier research capabilities into shippable features across Canvas, Agents, and the model platform
  • Work directly within the research team to shape priorities, ensuring model development and evaluation are informed by real enterprise needs in marketing, advertising, and entertainment
  • Establish and operate the feedback loops between research, product, go-to-market, and forward-deployed teams — so that market signals flow into research prioritization and research breakthroughs flow into product planning
  • Interpret evaluation results and research findings to identify which emerging capabilities have the highest product and commercial leverage — and make bets accordingly
  • Build prototypes yourself to validate product ideas before committing engineering resources — using the models directly to test hypotheses about what's possible and what customers will value
  • Define the product implications of research advances in multimodal understanding, generation, tool use, and agent capabilities — translating "the model can now do X" into "customers can now solve Y"
  • Partner with the Agent PM and Enterprise PM to ensure research priorities align with the capabilities that enterprise products and customer deployments actually need
  • Drive the cadence and process for research-to-product handoffs — defining what "ready to ship" means, managing the transition from research prototype to production feature, and owning the quality bar
  • Fulltime
Read More
Arrow Right
New

Senior AI Research Engineer

Adyen is building a world-class AI team to redefine what intelligent systems can...
Location
Location
Spain , Madrid
Salary
Salary:
Not provided
adyen.com Logo
Adyen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of hands-on experience in applied AI/ML research or engineering, with a clear track record of shipping AI systems, including agentic or LLM-powered systems, in production environments
  • Deep expertise in language models and Generative AI, with hands-on depth across several of: architecture, post-training (fine-tuning, RLHF), inference optimization, context engineering, and failure modes at scale
  • Proven experience designing and operating agentic systems at scale, multi-agent orchestration, tool use, memory and context management, state handling for long-running workflows, and human-in-the-loop design
  • Rigorous and systematic about evaluation
  • Strong foundation in classical machine learning: supervised learning, ensemble methods, optimization, probabilistic modeling, and statistics
  • Write clean, well-structured, production-ready code, primarily Python
  • Hands-on experience with at least one production-grade agentic framework
Job Responsibility
Job Responsibility
  • Design and Deploy AI Agents for Complex Tasks
  • Own Evaluation and Benchmarking
  • Provide AI Expertise Across the Organization
  • Raise the Bar
Read More
Arrow Right

Senior Applied AI Engineer

We are seeking a highly experienced and technically proficient Sr Applied AI Eng...
Location
Location
Canada , Mississauga
Salary
Salary:
145100.00 - 217700.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in software engineering, with at least 5+ years specializing in Applied AI/ML engineering or related roles
  • Significant proven data science / AI engineering experience, with multiple years leading tech implementations in financial services or enterprise environments
  • Demonstrated success building AI applications in investment banking, asset management, or capital markets domains
  • Deep expertise in ML, NLP, LLMs, retrieval-augmented generation (RAG), embeddings, and modern MLOps practices
  • Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts, research)
  • Familiarity with front-office workflows in ECM, DCM, M&A, and investment research
  • Experience deploying AI solutions in secure, high-compliance environments (on-premise, hybrid cloud, or private cloud)
  • Strong communication and stakeholder management skills
Job Responsibility
Job Responsibility
  • AI/ML Solution Design & Implementation: Lead the end-to-end design, architecture, and hands-on implementation of advanced AI/ML solutions and platforms supporting Investment Banking workflows in ECM, DCM, and M&A. This includes leveraging existing models and adapting them to specific business needs
  • Subject Matter Expertise: Act as the primary subject matter expert in Investment Banking products (ECM, DCM, M&A), collaborating closely with business stakeholders to understand their needs and identify high-impact AI opportunities
  • Technical Leadership & Mentorship: Provide technical leadership and guidance to engineering teams, fostering best practices in AI/ML solution implementation and scalable system design. Mentor less experienced engineers through code reviews, technical discussions, and collaborative problem-solving
  • Strategic Vision & Innovation: Contribute to the strategic vision for AI in Investment Banking, researching and evaluating new AI technologies, methodologies, and tools to maintain a competitive edge
  • Data Strategy & Engineering: Work closely with data engineers to define data requirements, ensure data quality, and optimize data pipelines for AI solution integration and deployment
  • Model Deployment & Monitoring: Oversee the deployment, scaling, monitoring, and ongoing maintenance of AI/ML solutions in production environments, ensuring reliability and performance
  • Performance Optimization: Identify and implement performance optimizations for AI solutions and underlying infrastructure to ensure efficient resource utilization and rapid inference
  • Collaboration: Partner with cross-functional teams, including product managers, data scientists, quantitative analysts, and other engineering leads, to deliver integrated solutions
  • Documentation: Create comprehensive technical documentation, including design specifications, architecture diagrams, and operational guides
  • Fulltime
Read More
Arrow Right

Senior Applied AI Engineer, Image Generation

We’re hiring a Senior Applied AI Engineer, Image Generation to join a fast‑movin...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • Master’s Degree AND 3+ years of experience in engineering, problem solving, model building, evaluation, data analysis OR equivalent experience.
  • PhD in engineering, applied math, statistics, or related analytical field.
  • 2+ years shipping production-level code, models, or data analysis.
  • 1+ years using AI-assisted coding and analysis techniques.
  • Solid grasp of deep learning: loss functions, optimization, regularization, training stability
  • Experience deploying ML models at scale (inference optimization, quantization, distillation)
  • Familiarity with image preprocessing pipelines, data augmentation, and dataset curation
  • Experience working on small teams and mid-stage startup environments.
  • Experience working on AI products.
Job Responsibility
Job Responsibility
  • Model Development & Training
  • Train, fine-tune, and evaluate image generation models (diffusion, GAN, transformer-based)
  • Implement and adapt techniques from research papers into working production systems
  • Design and run experiments to improve image quality, diversity, and controllability
  • Curate, clean, and manage large-scale image-text training datasets
  • Evaluation, Hillclimbing & Quality Systems
  • Build and maintain evaluation frameworks for correctness, safety, grounding, and UX quality.
  • Run hillclimbing loops across prompts, models, and tool‑use strategies to continuously improve assistant performance.
  • Analyze failure modes, design mitigations, and drive systematic improvements across the stack.
  • LLM Tooling & Internal Infrastructure
  • Fulltime
Read More
Arrow Right

Senior Applied AI Engineer

Microsoft is seeking a Senior Applied AI Engineer to join a pioneering team focu...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
  • 8+ years of professional software development experience with at least one of the following: C#, C++, or Java
  • 8+ years of professional experience building cloud applications, preferably full stack
  • 3+ years of experience with GenAI, LLMs, or agentic systems
  • Experience designing and implementing enterprise-scale services
  • Experience delivering Dynamics 365 and/or Power Platform solutions is desirable
  • Experience in agentic AI development and leveraging AI tools for development
  • Verbal, written, and cross-team collaboration skills
Job Responsibility
Job Responsibility
  • Design, build, and ship AI-powered software systems leveraging generative AI, LLMs, and agentic reasoning frameworks
  • Develop and integrate autonomous AI agents capable of task decomposition, multi-step planning, memory, tool usage, and dynamic decision-making across enterprise workflows
  • Apply state-of-the-art techniques including foundation models, prompt engineering, retrieval-augmented generation (RAG), multi-agent architectures, and classical machine learning where appropriate
  • Fine-tune and adapt foundation models using domain-specific data, and evaluate model behavior across relevance, quality, hallucination, bias, latency, and cost
  • Build rapid prototypes and translate them into production-grade systems, contributing to deployment, debugging, monitoring, and operational excellence
  • Design and implement evaluation frameworks and automated evaluators, using offline experiments, shadow testing, online experimentation, and telemetry to measure impact and guide iteration
  • Partner closely with product managers, researchers, and engineers to bring agentic capabilities into Microsoft’s business and productivity platforms
  • Write high-quality, well-documented, and maintainable code, along with clear technical design specifications
  • Mentor engineers and contribute to raising the overall engineering and applied AI bar across the team
  • Apply Responsible AI principles throughout the development lifecycle, proactively identifying and mitigating risks related to fairness, bias, privacy, security, and misuse
  • Fulltime
Read More
Arrow Right

Senior Applied AI Security Researcher

Microsoft Threat Protection Research is recruiting security professionals with e...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years experience in cybersecurity, software development lifecycle, large-scale computing, modeling, and/or anomaly detection
  • 4+ years of professional experience in investigating or researching cyber threats, understanding attacker methodology, tools, and infrastructure
  • Excellent communication skills and investigative practices.
  • Experience in security research, incident response and attacker tradecraft.
  • Experience applying generative AI to the information security domain.
  • Experience creating solutions with a variety of large language models, understanding differences between models and how to compare them.
  • Experience with hosted AI tools such as Azure Foundry, Azure OpenAI Service.
  • Experience working with extremely large data sets, using tools and scripting languages like Excel, KQL, SQL, Python, Splunk, and Power BI.
  • Experience working with detection methodologies across multiple platforms.
  • Ability to utilize attacker uptake and impact to prioritize security detection and remediation tasks.
Job Responsibility
Job Responsibility
  • Leverage AI techniques and security operations experience to explore and correlate large data sets to uncover novel attack techniques and hunting in enterprise customer environments.
  • Partner with researchers and engineering teams, and Defender Experts analysts, to use AI to improve our service delivery outcomes.
  • Use advanced techniques and in-the-wild data to identify, prioritize, and target complex security issues that cause negative impact to customers.
  • Design and lead experiments in the use of AI to transform our managed services business.
  • Fulltime
Read More
Arrow Right

Senior Applied AI Security Researcher

Microsoft Threat Protection Research is recruiting security professionals with e...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years experience in cybersecurity, software development lifecycle, large-scale computing, modeling, and/or anomaly detection
  • 4+ years of professional experience in investigating or researching cyber threats, understanding attacker methodology, tools, and infrastructure
  • Excellent communication skills and investigative practices.
  • Experience in security research, incident response and attacker tradecraft.
  • Experience applying generative AI to the information security domain.
  • Experience creating solutions with a variety of large language models, understanding differences between models and how to compare them.
  • Experience with hosted AI tools such as Azure Foundry, Azure OpenAI Service.
  • Experience working with extremely large data sets, using tools and scripting languages like Excel, KQL, SQL, Python, Splunk, and Power BI.
  • Experience working with detection methodologies across multiple platforms.
  • Ability to utilize attacker uptake and impact to prioritize security detection and remediation tasks.
Job Responsibility
Job Responsibility
  • Leverage AI techniques and security operations experience to explore and correlate large data sets to uncover novel attack techniques and hunting in enterprise customer environments.
  • Partner with researchers and engineering teams, and Defender Experts analysts, to use AI to improve our service delivery outcomes.
  • Use advanced techniques and in-the-wild data to identify, prioritize, and target complex security issues that cause negative impact to customers.
  • Design and lead experiments in the use of AI to transform our managed services business.
  • Fulltime
Read More
Arrow Right