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Ai Researcher Jobs (NOW HIRING)

AI Researcher Location: San Francisco About Hum.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 ...

AI Researcher

San Jose, CA ยท On-site +1

$180K - $350K/yr

Hume AI is seeking talented AI researchers interested in working with our team to build state-of-the-art speech-language models (SLMs). Our new SLM training method-reinforcement learning from human ...

The AI Researcher will lead research in areas such as reinforcement learning and multi-agent coordination to support the development and deployment of this technology. Responsibilities : โ€ข Conduct ...

About the Role As an AI Researcher for Computer Vision & Autonomous Robots at TCS, you'll work on the frontier of applied artificial intelligence, where perception meets physical intelligence. This ...

Your Impact As an AI Researcher, you will work on the research, development, and deployment of advanced AI systems. Your focus will span large language models, agentic AI, multimodal learning, and ...

Your Impact As an AI Researcher, you will work on the research, development, and deployment of advanced AI systems. Your focus will span large language models, agentic AI, multimodal learning, and ...

Your Impact As an AI Researcher, you will work on the research, development, and deployment of advanced AI systems. Your focus will span large language models, agentic AI, multimodal learning, and ...

Your Impact As an AI Researcher, you will work on the research, development, and deployment of advanced AI systems. Your focus will span large language models, agentic AI, multimodal learning, and ...

Your Impact As an AI Researcher, you will work on the research, development, and deployment of advanced AI systems. Your focus will span large language models, agentic AI, multimodal learning, and ...

Your Impact As an AI Researcher, you will work on the research, development, and deployment of advanced AI systems. Your focus will span large language models, agentic AI, multimodal learning, and ...

Your Impact As an AI Researcher, you will work on the research, development, and deployment of advanced AI systems. Your focus will span large language models, agentic AI, multimodal learning, and ...

Your Impact As an AI Researcher, you will work on the research, development, and deployment of advanced AI systems. Your focus will span large language models, agentic AI, multimodal learning, and ...

About the Role As an AI Researcher for Computer Vision & Autonomous Robots at TCS, you'll work on the frontier of applied artificial intelligence, where perception meets physical intelligence. This ...

About the Role As an AI Researcher for Computer Vision & Autonomous Robots at TCS, you'll work on the frontier of applied artificial intelligence, where perception meets physical intelligence. This ...

About the Role As an AI Researcher for Computer Vision & Autonomous Robots at TCS, you'll work on the frontier of applied artificial intelligence, where perception meets physical intelligence. This ...

About the Role As an AI Researcher for Computer Vision & Autonomous Robots at TCS, you'll work on the frontier of applied artificial intelligence, where perception meets physical intelligence. This ...

AI Researcher

New York, NY ยท On-site

$160K - $300K/yr

Our roots remain deeply embedded in AI research, and we're channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we're proudest of is ...

Hudson River Trading (HRT) is hiring an AI Researcher to join the HAIL team. HAIL (HRT AI Labs) is the team at HRT responsible for developing and maintaining our most powerful models, which are used ...

AI Researcher Location: Mountain View, CA / Warren,MI(onsite) Job Type: Full time Research in advanced areas of Computer vision for COBOTS & Autonomous Robots for Manufacturing Plant. The role ...

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Ai Researcher information

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How much do ai researcher jobs pay per year?

As of Jul 3, 2026, the average yearly pay for 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.

Are AI researchers in demand?

AI researchers are in high demand due to rapid advancements in artificial intelligence and machine learning across industries such as technology, healthcare, and finance. Employers seek experts with strong programming skills, knowledge of deep learning frameworks, and advanced degrees, leading to competitive job opportunities and growth prospects in the field.

What does an AI Researcher do?

An AI Researcher studies and develops artificial intelligence systems, focusing on advancing machine learning, deep learning, and other AI techniques. They design algorithms, conduct experiments, and analyze data to improve AI models. Their work often involves publishing research papers, collaborating with engineers, and staying updated with the latest advancements in AI.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI research directors, senior machine learning engineers, or chief AI officers, often found in large tech companies or specialized firms. These positions usually require advanced degrees, extensive experience, and expertise in areas like deep learning, natural language processing, or AI strategy, and may include bonuses or stock options that contribute to the total compensation.

How hard is it to become an AI researcher?

Becoming an AI researcher typically requires a strong background in computer science, mathematics, and machine learning, often including a master's or PhD degree. Developing skills in programming languages like Python, understanding deep learning frameworks, and gaining research experience are essential steps, making it a challenging but achievable career path for those with dedication and relevant education.

How can I be an AI researcher?

To become an AI researcher, you typically need a strong educational background in computer science, mathematics, or related fields, often with a master's or Ph.D. degree. Developing skills in programming languages like Python, understanding machine learning frameworks, and gaining experience through research projects or internships are essential. Staying current with the latest AI research and publishing findings can also enhance your career prospects.

What are the key skills and qualifications needed to thrive in the Ai Researcher position, and why are they important?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually supported by an advanced degree such as a Master's or PhD. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with data analysis tools are commonly required. Critical thinking, effective communication, and a collaborative mindset distinguish top performers in this field. These skills are crucial for understanding complex problems, developing innovative solutions, and sharing findings with multidisciplinary teams.

What does the typical day-to-day work look like for an AI Researcher?

AI Researchers often split their time between developing new algorithms, running experiments, and analyzing results to advance artificial intelligence technologies. They regularly collaborate with data scientists, software engineers, and product teams to ensure their research aligns with practical applications. Literature review and staying current with the latest scientific advancements are also key components of the role. Depending on the organization, AI Researchers may present their findings at conferences or contribute to academic publications, making the position both dynamic and intellectually stimulating.

What cities are hiring for Ai Researcher jobs? Cities with the most Ai Researcher job openings:
What are the most commonly searched types of Ai Researcher jobs? The most popular types of Ai Researcher jobs are:
What states have the most Ai Researcher jobs? States with the most job openings for Ai Researcher jobs include:
Infographic showing various Ai Researcher job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

AI Researcher

Hum AI

San Francisco, CA โ€ข 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.