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Ai Research Jobs (NOW HIRING)

Meta

AI Research Manager

Menlo Park, CA · On-site +1

$219K/yr

Meta is seeking an AI Research Manager to lead teams of AI researchers and engineers advancing the frontier of artificial intelligence. In this role, you will drive the strategy, execution, and ...

Meta

AI Research Manager

Menlo Park, CA · On-site

$219K - $301K/yr

Meta is seeking an AI Research Manager to lead teams of AI researchers and engineers advancing the frontier of artificial intelligence. In this role, you will drive the strategy, execution, and ...

P-1 AI

AI Research Scientist

San Francisco, CA · On-site

$200K - $385K/yr

This role blends cutting-edge AI research with hands-on engineering, and is ideal for someone who thrives at the intersection of ideas and implementation. About the role: * Research and develop ...

OpusClip

AI Research Intern

Mountain View, CA · On-site

AI Research Intern We're looking for an AI Research Intern to join our AI team and explore cutting-edge research across multimodal AI, LLMs, computer vision, speech, and agent systems. You'll work ...

EnCharge AI

$175K - $245K/yr

About the Role EnCharge AI is looking for an experienced AI Research Engineer to optimize deep learning models for deployment on edge AI platforms. You will work on model compression, quantization ...

Meta

AI Research Manager

Menlo Park, CA · On-site

Meta is seeking an AI Research Manager to lead teams of AI researchers and engineers advancing the frontier of artificial intelligence. In this role, yo.

Collate

AI Research Scientist

San Francisco, CA · On-site

Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We're an elite team ...

Silimate

AI Research Intern

Mountain View, CA · On-site

Software Intern For Ai Research We're hiring software interns with significant experience with AI research (across models, algorithms, and training methodology) to help push the frontier of our AI ...

New

Collate

AI Research Scientist

San Francisco, CA · On-site +1

Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We're an elite team ...

Collate

AI Research Scientist

San Francisco, CA · On-site +1

Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We're an elite team ...

OpusClip

AI Research Intern

What You'll Do AI Research & Model Development * Research and develop deep learning models in one or more of the following areas, depending on product priorities: * Computer vision (e.g. video ...

Anthropic

Recruiter, AI Research

San Francisco, CA

Anthropic is looking for a talented AI Research Recruiter to partner with our Research teams. In this pivotal role, you will be instrumental in shaping the future of our organization by identifying ...

UL Research Institutes

AI Research Engineer - NLP

$98K - $135K/yr

We have an exciting opportunity for an AI Research Engineer atUL Research Institutes, within our Digital Safety Research Institute (DSRI). This is a REMOTE opportunity The AI Research Engineer ...

US Bank

AI Research Scientist

Charlotte, NC · On-site

Conduct original AI research and exploratory investigations to assess the feasibility and value of novel approaches. * Develop hypotheses, design experiments, evaluate results, and communicate ...

US Bank

AI Research Scientist

Atlanta, GA · On-site

Conduct original AI research and exploratory investigations to assess the feasibility and value of novel approaches. * Develop hypotheses, design experiments, evaluate results, and communicate ...

US Bank

AI Research Scientist

Irving, TX · On-site

Conduct original AI research and exploratory investigations to assess the feasibility and value of novel approaches. * Develop hypotheses, design experiments, evaluate results, and communicate ...

U.S. Bank

AI Research Scientist

Minneapolis, MN · On-site

Conduct original AI research and exploratory investigations to assess the feasibility and value of novel approaches. * Develop hypotheses, design experiments, evaluate results, and communicate ...

Alinia AI

Applied AI Research Intern

Applied AI Research Intern We are an early-stage AI startup on a mission to enable the safe and compliant deployment of AI Agents in regulated industries, worldwide, through our Regulatory Guardrails ...

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All JobsAi Research Jobs

Ai Research information

How do I become an AI researcher?

To become an AI researcher, typically a strong background in computer science, mathematics, or related fields is required, often including 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 steps in the field.

What can an AI researcher do?

An AI researcher develops algorithms and models to advance artificial intelligence capabilities, often working on machine learning, natural language processing, and computer vision projects. They analyze data, publish findings, and collaborate with teams to improve AI systems, typically requiring strong programming skills and knowledge of mathematics and statistics.

What are the key skills and qualifications needed to thrive as an AI researcher, and why are they important?

To thrive as an AI Researcher, you need a strong background in mathematics, computer science, and machine learning, typically supported by an advanced degree (Master’s or PhD) in a related field. Proficiency with programming languages such as Python, deep learning frameworks like TensorFlow or PyTorch, and experience with data analysis tools are essential. Creativity, critical thinking, and effective collaboration are vital soft skills for innovating and communicating complex ideas. These skills ensure researchers can develop novel AI solutions, contribute to cutting-edge advancements, and work effectively within interdisciplinary teams.

What is the difference between Ai Research vs Data Scientist?

AspectAi ResearchData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fieldsDegree in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, R&D departments, academiaBusiness environments, tech companies, analytics teams
Industry UsageDeveloping new AI algorithms, models, and theoriesAnalyzing data, building predictive models, generating insights

While both roles involve working with data and algorithms, Ai Research focuses on developing new AI methods and theories, often in research settings. Data Scientists apply these techniques to solve practical business problems through data analysis and modeling. The roles overlap in skills and tools but differ mainly in their objectives and work environments.

What is AI research?

AI research is the scientific study and development of algorithms, models, and systems that enable computers to perform tasks that typically require human intelligence. This includes areas such as machine learning, natural language processing, computer vision, robotics, and reasoning. AI researchers work to advance the field by creating new methods, improving existing technologies, and exploring ethical and societal impacts of artificial intelligence. Their work is crucial in driving innovation across industries, from healthcare to autonomous vehicles.

What are some common challenges faced by AI researchers when working on real-world projects?

AI researchers often encounter challenges such as dealing with insufficient or biased data, ensuring model interpretability, and balancing research innovation with project deadlines. Collaborating closely with data engineers, software developers, and domain experts is essential to address these hurdles and translate theoretical models into practical solutions. Additionally, aligning research outcomes with business goals while keeping up with the rapidly evolving AI landscape can be demanding, but it also provides valuable opportunities for continuous learning and career development.
More about Ai Research jobs
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Ai Research jobs near you
Infographic showing various Ai Research job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI Research Manager

Meta

Menlo Park, CA • On-site, Remote

$219K/yr

Full-time

Posted 13 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 242 rated software companies

Job description

Meta is seeking an AI Research Manager to lead teams of AI researchers and engineers advancing the frontier of artificial intelligence. In this role, you will drive the strategy, execution, and culture of AI research teams working on large-scale machine learning systems, foundation models, and applied AI innovations that power Meta's products and platforms. You will operate at the intersection of research and product impact, shaping the direction of AI capabilities while fostering a team culture of technical rigor, AI-native workflows, and cross-functional collaboration.
AI Research Manager Responsibilities:
  • Lead and manage multiple teams of AI researchers and technical leaders delivering large-scale machine learning and AI research projects with significant product impact
  • Shape and actively influence the AI research strategy and roadmap, translating long-term research goals into prioritized, executable plans
  • Drive adoption of AI tools and workflows across the team to expand delivery capacity and elevate engineering and research craft
  • Maintain hands-on technical engagement by evaluating model architectures, research directions, and technical quality using AI-assisted tools and direct contribution
  • Partner with product, design, and data science teams to ensure AI research outputs translate into measurable product improvements and user value
  • Recruit, develop, and retain AI research talent, including growing other leaders into AI-era research managers with strong technical and organizational skills
  • Proactively identify and resolve execution risks across research projects, including issues related to research vision, model quality, and team dependencies
  • Establish and maintain a high bar for AI research quality, including responsible and ethical use of AI, model evaluation rigor, and reproducibility standards
  • Represent the team's work and progress to leadership and cross-functional partners through clear written and verbal communication of research direction and outcomes
  • Contribute to broader organizational health by mentoring leaders across the AI research organization and modeling effective AI practices at scale

Minimum Qualifications:
  • 8+ years of experience in AI, machine learning, or a closely related research or engineering field
  • 4+ years of experience managing teams of researchers or engineers, including experience managing other people managers or technical leaders
  • Experience defining and executing AI or machine learning research strategy across multiple concurrent projects with cross-functional dependencies
  • Track record of delivering AI or machine learning systems from research through production at scale, with demonstrated product or business impact
  • Experience communicating technical AI research direction and outcomes to both technical and non-technical stakeholders through written documents and presentations

Preferred Qualifications:
  • Demonstrated ability to integrate AI-native tooling and workflows into team processes to accelerate research velocity and quality
  • Experience leading AI research teams working on foundation models, large language models, generative AI, or multimodal learning systems
  • Track record of publishing or shipping novel AI research with measurable impact on product systems or the broader research community
  • Experience building and scaling AI research organizations, including recruiting and developing researchers across a range of experience levels

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$219,000/year to $301,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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