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Cloud 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 ... Familiarity with cloud platforms such as AWS, GCP, or Azure.

NTT DATA Services

Applied AI Researcher

Jersey City, NJ · On-site

$104K - $182K/yr

Applied AI Researcher GenAI / NLP / Agentic AI / Applied Machine Learning Bridge advanced AI ... Cloud/AWS awareness is valuable because successful research outputs must be handed off to ...

NTT DATA Services

Applied AI Researcher

Jersey City, NJ · On-site

$104K - $182K/yr

Applied AI Researcher GenAI / NLP / Agentic AI / Applied Machine Learning Bridge advanced AI ... Cloud/AWS awareness is valuable because successful research outputs must be handed off to ...

NTT DATA Services

Applied AI Researcher

Jersey City, NJ · On-site

$104K - $182K/yr

Applied AI Researcher GenAI / NLP / Agentic AI / Applied Machine Learning Bridge advanced AI ... Cloud/AWS awareness is valuable because successful research outputs must be handed off to ...

Cisco

Senior AI Researcher

San Francisco, CA · On-site

$216K/yr

Our research spans foundation models, agentic AI, multimodal learning, reasoning systems, scalable ... major cloud platforms such as AWS, GCP, or Azure. * Experience designing and scaling agentic AI ...

Cisco

Senior AI Researcher

San Francisco, CA · On-site

$216K/yr

Our research spans foundation models, agentic AI, multimodal learning, reasoning systems, scalable ... major cloud platforms such as AWS, GCP, or Azure. * Experience designing and scaling agentic AI ...

1X Technologies AS

AI Researcher

San Carlos, CA · On-site

$250K - $350K/yr

About the Lab The 1X World Model Lab is an embodied AI research organization focused on pretraining ... cloud infrastructure * Experience with multi-modal generative models, world models, diffusion ...

Zebra Technologies

Cloud AI Engineer, Lead

Holtsville, NY · Hybrid

$56.50 - $75.75/hr

The Cloud AI Engineer, Lead plays a critical role in driving innovation across Zebra's IT Platform ... Research, analyze, and report on disruptive technologies-such as Generative AI, Machine Learning ...

Zebra Technologies

Cloud AI Engineer, Lead

Lincolnshire, IL · Hybrid

$58.75 - $78.50/hr

The Cloud AI Engineer, Lead plays a critical role in driving innovation across Zebra's IT Platform ... Research, analyze, and report on disruptive technologies--such as Generative AI, Machine Learning ...

RXinsider LTD.

Cloud AI Engineer, Lead

Lincolnshire, IL · On-site

$58.75 - $78.50/hr

Research, analyze, and report on disruptive technologies--such as Generative AI, Machine Learning ... Act as the primary IT Cloud Innovation Liaison, driving cross‑functional collaboration and ...

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How much do cloud ai researcher jobs pay per year?

As of Sep 10, 2026, the average yearly pay for cloud ai researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Cloud Ai Researcher job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

AI Researcher

San Francisco, CA • On-site

Hum AI
See more jobs at Hum AIexternal

Full-time

Re-posted 29 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.

Apply