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Ai Researcher Jobs (NOW HIRING)

1X Technologies AS

AI Researcher

San Carlos, CA · On-site

$250K - $350K/yr

AI Researcher San Carlos, CA (on-site, remote) About the Lab The 1X World Model Lab is an embodied AI research organization focused on pretraining the foundation models to accelerate the emergence of ...

Workday, Inc.

Principal AI Researcher

Pleasanton, CA · On-site

About the Team Workday AI Research is a newly built, elite organization dedicated to advancing the state-of-the-art in AI to power the Agentic Enterprise. We sit at the heart of Agent Factory ...

Workday

Principal AI Researcher

Atlanta, GA

About the Team Workday AI Research is a newly built, elite organization dedicated to advancing the state-of-the-art in AI to power the Agentic Enterprise. We sit at the heart of Agent Factory ...

Workday

Principal AI Researcher

Seattle, WA · On-site

About the Team Workday AI Research is a newly built, elite organization dedicated to advancing the state-of-the-art in AI to power the Agentic Enterprise. We sit at the heart of Agent Factory ...

Cisco

AI Researcher Hybrid

San Jose, CA · On-site

Utilizes expertise in AI and research methodologies to develop research plans, build models, run experiments, and provide models and solutions to relevant teams. Serves as research strategy liaison ...

Workday

Principal AI Researcher

Pleasanton, CA

About the Team Workday AI Research is a newly built, elite organization dedicated to advancing the state-of-the-art in AI to power the Agentic Enterprise. We sit at the heart of Agent Factory ...

Cisco

AI Researcher Hybrid

San Jose, CA · On-site

Utilizes expertise in AI and research methodologies to develop research plans, build models, run experiments, and provide models and solutions to relevant teams. Serves as research strategy liaison ...

LG Electronics

Embodied AI Researcher

Englewood Cliffs, NJ · On-site

$150K - $210K/yr

About the Position - Embodied AI Researcher We are seeking an exceptional Embodied AI Researcher to help realize LG's vision of the Zero-labor Home. This hybrid role offers a unique opportunity to ...

LG Electronics

Embodied AI Researcher

Englewood Cliffs, NJ · Hybrid

$150K - $210K/yr

About the Position - Embodied AI Researcher We are seeking an exceptional Embodied AI Researcher to help realize LG's vision of the Zero-labor Home . This hybrid role offers a unique opportunity to ...

8VC

AI Researcher - Thorin

San Francisco, CA · On-site

AI Researcher Location : San Francisco Company : Thorin Stage : Seed | Incubated at 8VC About Thorin Thorin is an applied AI company born out of 8VC's Build program, focused on redefining how work ...

Distyl AI

Applied AI Researcher, Benchmarking

New York, NY · On-site

$150K - $250K/yr

We research and deploy technologies that power AI-native operations - both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most ...

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 recent technological breakthroughs into transformative financial products. You will leverage the latest ...

Scout AI

AI Researcher - Fury Team

Sunnyvale, CA · On-site

$160K - $400K/yr

The Role We're hiring an AI Researcher on the Fury Team to help push the frontiers of embodied intelligence for autonomous defense systems. You will lead research in core areas including ...

Scout AI

AI Researcher - Fury Team

Sunnyvale, CA

The Role We're hiring an AI Researcher on the Fury Team to help push the frontiers of embodied intelligence for autonomous defense systems. You will lead research in core areas including ...

Verneek

Applied AI Researcher

New York, NY · On-site

$40K - $200K/yr

We are looking for a stellar & highly ambitious AI/NLP researcher as core employees to help build complex AI/NLP models supporting the Verneek AI platform! You'll get to work on fundamental AI ...

Distyl AI

Applied AI Researcher, AI Systems

New York, NY · On-site

$150K - $250K/yr

We research and deploy technologies that power AI-native operations - both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most ...

Verneek

Applied AI Researcher

New York, NY

$40K - $200K/yr

We are looking for a stellar & highly ambitious AI/NLP researcher as core employees to help build complex AI/NLP models supporting the Verneek AI platform! You'll get to work on fundamental AI ...

Verneek

Applied AI Researcher

New York, NY · On-site

$40K - $200K/yr

We are looking for a stellar & highly ambitious AI/NLP researcher as core employees to help build complex AI/NLP models supporting the Verneek AI platform! You'll get to work on fundamental AI ...

Aledade

Staff AI Researcher

As a Staff AI Researcher, you will develop AI solutions that will improve health for millions of people. Here at Aledade we empower primary care physicians with technology to keep their patients ...

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As of Jun 13, 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.

Which 5 jobs will survive AI?

AI researchers are likely to find that jobs requiring complex problem-solving, creativity, emotional intelligence, and human interaction will persist. Roles such as healthcare professionals, educators, skilled tradespeople, managers, and creative artists are less susceptible to automation due to their reliance on nuanced human skills and judgment.

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 $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI researchers, machine learning directors, or chief AI officers, often in large tech companies or specialized firms. These positions usually require advanced expertise in AI algorithms, programming skills, and experience managing complex projects, with compensation reflecting leadership responsibilities and technical proficiency.

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 literature and tools such as TensorFlow or PyTorch also supports career development.

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.

Is AI researcher a good career?

AI researcher is a highly specialized role focused on developing and improving artificial intelligence algorithms and models, often requiring advanced degrees in computer science or related fields. The career offers strong growth prospects, competitive salaries, and opportunities to work on innovative projects across industries such as technology, healthcare, and finance.

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.

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Infographic showing various Ai Researcher job openings in the United States as of June 2026, with employment types broken down into 4% Full Time, 95% Part Time, and 1% Temporary. 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

1X Technologies AS

San Carlos, CA • On-site

$250K - $350K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

AI Researcher
San Carlos, CA (on-site, remote)
About the Lab
The 1X World Model Lab is an embodied AI research organization focused on pretraining the foundation models to accelerate the emergence of embodied intelligence. As the lab grows, researchers contribute where they have the most leverage, and the problems worth solving span every layer of the stack.
The lab is founded on a simple thesis: robotics is not a fine-tuning problem. To build truly general humanoids, we need to pretrain on the most important data from the very beginning.
Your Charter
Advance NEO's intelligence by building the AI systems, infrastructure, and data engines that enable the robot to learn from experience and become increasingly capable in real-world environments.
The key pillars of AI are:
Model and Data
Build large multi-modal generative world models that learn from robot experience, spanning model architecture, tokenization, and large-scale training and data processing. Advance the robot's ability to predict, plan, and act in unstructured environments. Simply: good tokens in = good tokens out!
Data Infrastructure and Tooling
Design and operate the data engine that enables training on all visual and robot data. From web-scale media, to egocentric and synthetic data, and most importantly, on-policy NEO data, building large-scale data infrastructure that enables annotation and curation at scale, are crucial to scale up World Model training. Simply: more tokens in = more tokens out!
ML Infrastructure
Own the distributed training and inference systems that keep GPUs fully utilized. Increase the throughput during training, and speed of inference, to supercharge the model's ability in the lab and in the world. Simply: more tokens seen = better tokens out!
Evaluations
Build the evaluation infrastructure that connects pre-training metrics to real-world robot performance: benchmarks, evals frameworks, model ranking systems, and the tooling that lets the team iterate on architectures with confidence that lab results predict what happens in the the real physical world. Simply: more tokens evaluated = better model performance!
Key Outcomes
  • Advance robot capabilities through research, scaling data pipelines, optimizing training and inference throughput, or building evaluations that make lab results predictive of field performance
  • Build infrastructure that multiplies team research velocity: pipelines that are faster, evaluations that are more predictive, training systems that are more efficient, or tooling that eliminates manual work across the lab
  • Ship research to production: own the path from experimental result to deploy capability on robot hardware, and measure impact by what NEO can do, not just what the model achieves on benchmarks
  • Contribute to a learning flywheel where more robot experience leads to better models, better models enable more capable robots, and more capable robots generate richer experience

Key Competencies
  • 0 → 1 mentality excited to build systems from scratch that can efficiently ingest hundreds of millions of hours of videos, and excited to work through the tough and gritty aspects of engineering
  • Full-stack ML thinker understanding the path from raw robot data to trained model to deployed policy, and can identify and address bottlenecks at any layer of that stack: data quality, training efficiency, model architecture, or inference performance
  • Research depth plus engineering rigor conducting frontier research and builds systems others depend on; doesn't treat production engineering as someone else's job, and pushes work past promising training curves to deployed capabilities
  • Scale-first mindset believing scale is foundational to capable humanoid robotics; designs systems with 10x and 100x growth in mind, and actively pushes to remove whatever is currently the binding constraint on model improvement
  • Fast and high-agency contributor picking up new domains and codebases quickly, identifies the highest-leverage contribution, and makes meaningful progress without waiting for a detailed spec

Minimum Requirements
  • Strong Python and PyTorch (or equivalent deep learning framework), with experience in large-scale codebases and data tooling and visualization
  • Demonstrated experience in at least one area of the four pillars of AI: model and data, data infrastructure, ML infrastructure, or evaluation protocols
  • Degree in Computer Science, Machine Learning, or a related field; graduate-level education or equivalent research experience strongly preferred
  • Track record of impact: published research, deployed production in modern AI systems, or infrastructure that measurably accelerated a team's work

Preferred Skills
  • Experience with distributed training frameworks (TorchTitan, DeepSpeed, FSDP/ZeRO) and/or large-scale data processing pipeline and ETL systems spanning on-device, on-premise, and cloud infrastructure
  • Experience with multi-modal generative models, world models, diffusion models, or autoregressive architectures
  • Experience with inference optimization techniques: quantization (PTQ, QAT, INT8/FP8), CUDA/Triton kernel development, or serving systems (TensorRT or equivalent)

Benefits & Compensation
  • Salary Range: $250,000 - $350,000 + competitive equity
  • Health, dental, and vision insurance
  • 401(k) with company match
  • Paid time off and holidays

Equal Opportunity Employer
1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, or any other characteristic protected under applicable federal, state, or local law.

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