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Manager Ai Researcher Jobs (NOW HIRING)

Hum AI

AI Researcher

San Francisco, CA · On-site

AI Researcher Location: San Francisco About Hum.ai Hum.ai is building planetary superintelligence ... Ability to independently manage and execute a research agenda, selecting impactful problems and ...

Cisco

AI Researcher Hybrid

San Jose, CA

Define and manage research roadmaps, ensuring alignment with business objectives and project complexity. 2. AI Technical Development and Innovation * Utilize advanced AI tools, models, and data ...

Workday

Principal AI Researcher

Atlanta, GA · On-site

As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're ... About the Team Workday AI Research is a newly built, elite organization dedicated to advancing the ...

Cisco

AI Researcher Hybrid

San Jose, CA · On-site

Define and manage research roadmaps, ensuring alignment with business objectives and project complexity. 2. AI Technical Development and Innovation * Utilize advanced AI tools, models, and data ...

Workday, Inc.

Principal AI Researcher

Pleasanton, CA · On-site

As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're ... About the Team Workday AI Research is a newly built, elite organization dedicated to advancing the ...

Workday

Principal AI Researcher

Seattle, WA · On-site

As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're ... About the Team Workday AI Research is a newly built, elite organization dedicated to advancing the ...

Workday

Principal AI Researcher

Pleasanton, CA

As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're ... About the Team Workday AI Research is a newly built, elite organization dedicated to advancing the ...

Rogo

AI Researcher

New York, NY · On-site

What You Will Own As an AI researcher at Rogo, you will be at the cutting edge of translating ... Partner closely with product managers and engineers to ensure every solution you build delivers ...

Bluefish AI

Senior Customer AI Researcher

New York, NY · On-site +1

As part of our Marketing Services team , we're looking for a Senior Customer AI Researcher to lead ... Analytic Rigor - You have a proven ability to manage large datasets and the "detective" mindset ...

Aledade

Staff AI Researcher

As a Staff AI Researcher, you will develop AI solutions that will improve health for millions of ... These tools support our recruiters and hiring managers by helping manage large applicant pools.

Autodesk

Reporting to the Director, AEC, AI Research, User Success, the Senior Manager, AI Research, User Success leads theuser research strategyfor Autodesk's next generation of AI-powered product ...

Articul8

Applied AI Researcher (Dublin, CA)

Dublin, CA · On-site

... manage data preprocessing, training runs, evaluation sweeps, and result synthesis * Go deep: push ... AI - conduct rigorous, first-principles research into model architectures, training dynamics ...

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All JobsManager Ai Researcher Jobs

Manager Ai Researcher information

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$75K

$120.1K

$157K

How much do manager ai researcher jobs pay per year?

As of Jul 3, 2026, the average yearly pay for manager ai researcher in the United States is $120,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $116,500.00 per year, depending on experience, location, and employer.

How does a Manager AI Researcher typically balance hands-on research with team leadership responsibilities?

As a Manager AI Researcher, you'll often need to strike a balance between contributing directly to research projects and overseeing the team's progress. While you may still participate in designing experiments or reviewing technical work, much of your time will be devoted to mentoring junior researchers, setting project priorities, and collaborating with cross-functional teams such as product or engineering. Strong communication and organizational skills are essential, as you'll be responsible for aligning research goals with business objectives while fostering a collaborative, innovative environment.

What are the key skills and qualifications needed to thrive as a Manager AI Researcher, and why are they important?

To thrive as a Manager AI Researcher, you need deep expertise in machine learning, data science, and computer science, typically supported by an advanced degree (PhD or Master's) and experience leading research projects. Familiarity with AI frameworks (such as TensorFlow or PyTorch), programming languages (like Python), and project management tools is essential, along with staying current on the latest research trends. Strong leadership, communication, and collaboration skills are crucial for guiding teams, fostering innovation, and translating research into practical applications. These skills and qualities enable effective team management, drive cutting-edge research, and ensure successful integration of AI solutions into organizational goals.

What does a Manager AI Researcher do?

A Manager AI Researcher leads a team of artificial intelligence researchers in designing, developing, and implementing innovative AI models and solutions. They oversee research projects, set strategic goals, and collaborate with cross-functional teams to translate research findings into practical applications. In addition to their technical expertise, they are responsible for mentoring researchers, managing project timelines and budgets, and ensuring the team stays up to date with the latest advancements in AI.

What is the difference between Manager Ai Researcher vs Data Scientist?

AspectManager Ai ResearcherData Scientist
Required CredentialsMaster's or PhD in AI, Computer Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentLeads AI research teams, collaborates with engineers and product teamsAnalyzes data, builds models, supports decision-making
Industry UsageUsed in AI-focused companies, research labs, tech firmsWidely used across industries like finance, healthcare, tech

While both roles require strong technical skills and a background in data or AI, the Manager Ai Researcher focuses on leading AI research initiatives and managing teams, whereas the Data Scientist primarily analyzes data and develops models to inform business decisions.

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Manager Ai Researcher jobs near you

AI Researcher

Hum AI

San Francisco, CA • On-site

Full-time

Posted 21 days ago

Job description

AI Researcher
Location: San Francisco
AboutHum.ai
Hum.ai is building planetary superintelligence. Backed by top funds, we've raised $10M+ and are now heads down building.
Join us at the cutting edge, where we're scaling generative transformer diffusion models, designing next-gen benchmarks, and engineering foundation models that go far beyond LLMs. You'll be at the core of a moonshot journey to define what's next in agentic AI and frontier model capabilities.
We are looking for an experienced AI Researcher who is eager to advance the frontier of AI, help us design, build, and scale end-to-end novel foundation models, and leverage their hands-on experience implementing a wide range of pre-training and post-training models, including large foundation models (beyond just LLM fine-tuning).
Who are we?
Hum is a seed-funded startup on a mission to create positive impact through earth observation and AI. Founded at the University of Waterloo by a team of PhDs and engineers, we're backed by some of the best AI and climate tech investors like HF0, Inovia Capital and Propeller Ventures, angels like James Tamplin (cofounder Firebase) and Sid Gorham (cofounder OpenTable, Granular), and partners like Amazon AWS and the United Nations.
What do we do?
We're building multimodal foundation models for the natural world. We believe there's more to the world than the internet + more to intelligence than memorizing the internet. Our models are trained on satellite remote sensing and real world ground truth data, and are used by our customers in nature conservation, carbon dioxide removal, and government to protect and positively impact our increasingly changing world. Our ultimate goal is to build AGI of the natural world.
The role will involve:
  • Research & Design:
    • Deep understanding of current machine learning research.
    • Proven track record of generating new ideas or enhancing existing ones in machine learning, evidenced by first-author publications or projects.
    • Contribute to research that uncovers the semantics of large datasets, with a focus on earth observation and remote sensing data.
    • Ability to independently manage and execute a research agenda, selecting impactful problems and conducting long-term projects autonomously.
  • Implementation:
    • Developing high-level proof-of-concept (POC) models.
    • Experimenting with new state-of-the-art techniques to surpass existing models.
    • Plan and execute innovative research and development to push the boundaries of current technology.
  • Writing and Publication:
    • Assisting in the preparation and writing of technical and scientific papers for publication.
    • Demonstrated strong scientific communication/presentation skills.

Requirements
  • PhD degree in computer science, engineering, a related field, or equivalent experience.
  • Proven track record of successful machine learning research projects
  • 5+ years of experience
  • Strong scientific understanding of the field of generative AI
    • Preference for experience training large diffusion or transformer models, especially on video or time series data.
  • Preference for San Francisco or Waterloo, but we're willing to consider remote for great candidates.

Nice to have
  • Proficiency in scripting languages such as Python, Bash, or PowerShell.
  • Demonstrated experience with deep learning and transformer models.
  • Familiarity with designing, pre-training, and fine-tuning large models.
  • Proficiency with Python, Ray Trainer, PyTorch, and Anyscale framework.
  • Strong technical engineering skills.
  • Previous experience in creating high-performance implementations of deep learning algorithms.
  • Past training of video or time-series models
  • Team player, willing to undertake various tasks to support the team.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure.

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