Senior Manager, Applied AI Research Job at Snorkel AI (San Francisco)

Senior Program Manager, AI Enabled Sponsored Research

The Senior Program Manager, AI Enabled Sponsored Research will manage and lead t...

Location

United States , Boston

Salary:

Not provided

HBS

Expiration Date

Until further notice

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

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

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

Product Manager, Applied Research

Luma's mission is to build unified general intelligence that can generate, under...

Location

United States , SF Bay Area

Salary:

Not provided

Luma AI

Expiration Date

Until further notice

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

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

New

Senior AI Research Engineer

Adyen is building a world-class AI team to redefine what intelligent systems can...

Location

Spain , Madrid

Salary:

Not provided

Adyen

Expiration Date

Until further notice

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

Design and Deploy AI Agents for Complex Tasks
Own Evaluation and Benchmarking
Provide AI Expertise Across the Organization
Raise the Bar

Senior Applied AI Engineer

We are seeking a highly experienced and technically proficient Sr Applied AI Eng...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

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

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

Senior Applied AI Engineer, Image Generation

We’re hiring a Senior Applied AI Engineer, Image Generation to join a fast‑movin...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

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

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

Senior Applied AI Engineer

Microsoft is seeking a Senior Applied AI Engineer to join a pioneering team focu...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

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

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

Senior Applied AI Security Researcher

Microsoft Threat Protection Research is recruiting security professionals with e...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

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

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

Senior Applied AI Security Researcher

Microsoft Threat Protection Research is recruiting security professionals with e...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

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

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

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Senior Manager, Applied AI Research

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