6,120 AI Research jobs in the United States

About Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role:

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, engaging, and hiring the best and brightest minds across a range of disciplines. As we continue to push the boundaries of AI research and development, we need a passionate recruiter who can help us build a world-class team dedicated to creating safe and beneficial AI systems.
Responsibilities:

• Develop and execute strategic recruiting plans to identify, source, and hire highly qualified candidates, with a focus on Machine Learning and AI research talent
• Partner with Research hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications
• Enhance and implement recruiting processes and programs while maintaining an inclusive and high talent bar, such as developing targeted outreach campaigns, building connections with industry leaders, and removing any unfair biases from the hiring process
• Collaborate with leadership and cross-functional partners to understand organizational needs and map out long-term talent acquisition strategies that balance priorities across all technical teams
• Enhance Anthropic's employer brand within the research and science community to showcase our mission, culture, and values to candidates
• Stay up-to-date on recruiting best practices, emerging sourcing techniques, interview innovations, and workplace trends

You may be a good fit if you:

• Have 5+ years of experience in full life cycle recruiting supporting technical research teams
• Have a passion for AI's potential to positively impact the world and realistic assessment of its risks and limitations
• Are experimental and are open to new, creative recruiting ideas, or have experience working with hiring managers who are open to non-traditional talent strategies
• Thrive in fast-paced, dynamic environments and enjoy juggling multiple priorities
• Possess strong technical aptitude with the ability to understand and evaluate technical qualifications
• Have enthusiasm for deeply understanding the needs of researchers and innovating on recruiting processes to make them more tailored to the world of research
• Have excellent organizational skills and attention to detail, as well as a proactive mindset and ability to operate with autonomy
• Have experience partnering with researchers and hiring talent that work on GenAI and LLMs
• Have a proven track record of scaling and building diverse and high-performing teams in a fast-paced, high-growth startup environment

Strong candidates may also:

• Bring a deep interest in AI safety research
• Have experience partnering with researchers and hiring talent that work on GenAI and LLMs
• Have experience with academic recruitment and research communities

Deadline to apply:

None. Applications will be reviewed on a rolling basis.

The expected salary range for this position is:

Annual Salary:

$170,000-$295,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

AI Research Scientist
**Cupertino, California, United States**
**Software and Services**
**Summary**
Posted: **Apr 30, 2025**
Role Number: **200602147**
Apple Maps is seeking a passionate AI research scientist to help shape the future of geospatial intelligence and revolutionize how the changing world is understood, modeled and experienced.
As part of our AI research team, you will research and apply cutting-edge deep learning and generative AI technologies to create next-generation mapping solutions, solving challenging, real-world problems with massive global impact.
This role is pivotal in advancing Apple's geospatial capabilities, enabling smarter, more responsive mapping systems that can adapt to the dynamic nature of the world!
**Description**
In this role, you'll work on some of the most challenging problems at the intersection of deep learning, computer vision, LLM, Foundation Models, Agentic AI, and geospatial data. You'll collaborate with a cross-functional team of engineers, ML scientists, and map specialists to build AI systems that understand the world at scale.
You Will:
- Lead and contribute to applied research projects that push the boundaries of AI applied to geospatial intelligence.
- Design and develop advanced machine learning and deep learning models to understand large scale complex geospatial data and perform geospatial reasoning.
- Experiment with intelligence systems capable of interpreting and updating maps autonomously.
- Collaborate with engineering and map specialists to translate prototypes into scalable systems with highly user-centric UI implementations.
- Stay on top of the latest advancements in AI/ML and contribute to our technical vision and strategy.
- Advocate for responsible AI practices ensuring ethical solutions in alignment
**Minimum Qualifications**
+ MS with comparable industry experience in computer science, Artificial Intelligence, Machine Learning or related field.
+ Strong theoretical and practical background in machine learning, deep learning, and computer vision.
+ Proven experience in developing, fine-tuning and deploying LLMs, VLMs, or other Generative AI models.
+ Proficiency in Python and deep learning frameworks like PyTorch, TensorFlow, or JAX.
+ Demonstrated problem solving skills to translate complex real-world problems into machine learning tasks and develop practical, scalable solutions.
+ Strong interpersonal collaboration and communication skills.
**Preferred Qualifications**
+ PhD in computer science, Artificial Intelligence, Machine Learning or related field.
+ Track record of patents, or publications in top AI/ML or GIS conferences or journals.
+ Hands-on experience with processing large datasets, training ML models in distributed environments, and deploying large-scale models in production.
+ Familiarity with emerging technologies such as Mixture of Experts (MoE) architectures, AI agents, and Retrieval-Augmented Generation (RAG).
+ Understanding of post-training strategies like RLHF, DPO, or equivalent approaches.
**Pay & Benefits**
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more about Apple Benefits. ( Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.
Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program ( .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

AI Research Scientist
**Cupertino, California, United States**
**Software and Services**
**Summary**
Posted: **Apr 29, 2025**
Weekly Hours: **40**
Role Number: **200602142**
Apple Maps is seeking a passionate AI research scientist to help shape the future of geospatial intelligence and revolutionize how the changing world is understood, modeled and experienced.
As part of our AI research team, you will research and apply cutting-edge deep learning and generative AI technologies to create next-generation mapping solutions, solving challenging, real-world problems with massive global impact.
This role is pivotal in advancing Apple's geospatial capabilities, enabling smarter, more responsive mapping systems that can adapt to the dynamic nature of the world!
**Description**
In this role, you'll work on some of the most challenging problems at the intersection of deep learning, computer vision, LLM, Foundation Models, Agentic AI, and geospatial data. You'll collaborate with a cross-functional team of engineers, ML scientists, and map specialists to build AI systems that understand the world at scale.
You Will:
- Lead and contribute to applied research projects that push the boundaries of AI applied to geospatial intelligence.
- Design and develop advanced machine learning and deep learning models to understand large scale complex geospatial data and perform geospatial reasoning.
- Experiment with intelligence systems capable of interpreting and updating maps autonomously.
- Collaborate with engineering and map specialists to translate prototypes into scalable systems with highly user-centric UI implementations.
- Stay on top of the latest advancements in AI/ML and contribute to our technical vision and strategy.
- Advocate for responsible AI practices ensuring ethical solutions in alignment
**Minimum Qualifications**
+ MS with comparable industry experience in computer science, Artificial Intelligence, Machine Learning or related field.
+ Strong theoretical and practical background in machine learning, deep learning, and computer vision.
+ Proven experience in developing, fine-tuning and deploying LLMs, VLMs, or other Generative AI models.
+ Proficiency in Python and deep learning frameworks like PyTorch, TensorFlow, or JAX.
+ Demonstrated problem solving skills to translate complex real-world problems into machine learning tasks and develop practical, scalable solutions.
+ Strong interpersonal collaboration and communication skills.
**Preferred Qualifications**
+ PhD in computer science, Artificial Intelligence, Machine Learning or related field.
+ Track record of patents, or publications in top AI/ML or GIS conferences or journals.
+ Hands-on experience with processing large datasets, training ML models in distributed environments, and deploying large-scale models in production.
+ Familiarity with emerging technologies such as Mixture of Experts (MoE) architectures, AI agents, and Retrieval-Augmented Generation (RAG).
+ Understanding of post-training strategies like RLHF, DPO, or equivalent approaches.
**Pay & Benefits**
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more about Apple Benefits. ( Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.
Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program ( .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

What you can expect
As a Research Scientist, you will shape Zoom AI's future via groundbreaking research. Incubate AI models, algorithms, and techniques for next generation business applications by collaborating with experienced researchers and engineers. You will join AI projects, work with diverse teams, and achieve exciting results.
About the Team
The AI incubation team is dedicated to incubating AI breakthroughs, including foundational AI techniques and AI native applications that will largely improve people's work productivity.
Responsibilities
+ Incubating foundation techniques for AGI, including new model structure, optimization techniques and distributed learning algorithms.
+ Incubating game-changing AI applications which will create huge potential business impact.
+ Collaborating with cross-functional teams to solve unique product problems.
+ Fostering growth in the AI research community by contributing to research papers for conferences and journals.
What we're looking for
+ Possess a Master's degree in Computer Science, AI, Machine Learning or related field and 5 years of experience.
+ Have a solid foundation in AI research or strong engineering practice in large scale distributed systems.
+ Be proficient in one of these programming languages: Python/C/C++/CUDA, and deep learning frameworks, such as PyTorch, Transformers and Deepspeed.
+ Learning, Distributed System or related field in progress or completed.
+ Demonstrate AI dedication through sharing academic or personal AI projects and enthusiasm for new possibilities.
Salary Range or On Target Earnings:
Minimum:
Maximum:
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations.
Ways of WorkingOur structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
BenefitsAs part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn ( for more information.
About UsZoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
Our Commitment?
At Zoom, we believe great work happens when people feel supported and empowered. We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we're here to support you at every step.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form ( and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.
Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application - take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step.

**Description:** Who We Are:
Lockheed Martin RMS provides mission software for the United States Strategic Command (USSTRATCOM) Nuclear Deterrence Mission. Our amazing men and women are on a mission to make a difference in the world and keep our nation safe. We use our unique skills and experiences every day to create, design and build solutions to some of the world's hardest engineering problems.
Lockheed Martin RMS at Offutt Air Force Base in Bellevue, Nebraska is seeking a full-time Engineers to join our Global Strike and Product Support 2 (GSPS2) engineering team working with USSTRATCOM in an Agile / DevSecOps environment. Join us and create Web-based and Java mission systems for the Intelligence, Global Strike, and Nuclear Planning communities.
With our employees as our priority, you'll benefit from diverse career opportunities designed to propel development and boost agility. Flexible schedules, competitive pay, and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. This opportunity is a gateway to advancing your career while strengthening our nation and protecting ourselves and our allies from next generation adversaries and their threats.
What You Will Be Doing:
The qualified candidate will work with experienced software engineers, AI Engineers, and Data Scientists executing engineering best practices, full-stack design patterns, and secure software and AI techniques in the Rogue Blue Software (RBS) Software environment as part of the Integrated Strategic Planning and Analysis Network (ISPAN) Mission Planning and Application System (MPAS) systems.
Responsibilities will include development, design, and technical leadership for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with systems engineers, architects, scrum masters, product owners, and end users to deliver mission capabilities for USSTRATCOM.
Lockheed Martin RMS at Offutt Air Force Base in Bellevue, Nebraska is seeking a full-time Software Engineers to join our Global Strike and Product Support 2 (GSPS2) engineering team working with USSTRATCOM in an Agile / DevSecOps environment. Join us and create Web-based and Java mission systems for the Intelligence, Global Strike, and Nuclear Planning communities.
With our employees as our priority, you'll benefit from diverse career opportunities designed to propel development and boost agility. Flexible schedules, competitive pay, and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. This opportunity is a gateway to advancing your career while strengthening our nation and protecting ourselves and our allies from next generation adversaries and their threats.
What You Will Be Doing:
The qualified candidate will work with experienced software engineers executing web development best practices, full-stack design patterns, and secure software techniques in the Rogue Blue Software (RBS) Software environment as part of the Integrated Strategic Planning and Analysis Network (ISPAN) Mission Planning and Application System (MPAS) systems.
Responsibilities will include software development and design for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with systems engineers, architects, scrum masters, product owners, and end users to deliver mission capabilities for USSTRATCOM.
#RMSC6ISR
**Basic Qualifications:**
- Bachelors degree from an accredited college in a related discipline, or equivalent experience/combined education, with 9 years of professional experience; or 7 years of professional experience with a related Masters degree. Considered an emerging authority.
- Must be a US Citizen; this position will require a government security clearance. This position is located at a facility that requires special access
- Experience with AI/ML: disciplines, domain programming languages (including Python), models, frameworks, and toolsets.
- Experience analyzing domain problems and selecting and designing AI solutions.
**Desired Skills:**
- DevOps experience including CI/CD pipelines to build, test, deploy.
- Experience with training deep neural networks and other AI algorithms
- Experience with Java and JavaScript
- Familiarity with high-performance computing
- Familiarity interfacing with databases (Oracle, MongoDB)
**Security Clearance Statement:** This position requires a government security clearance, you must be a US Citizen for consideration.
**Clearance Level:** Top Secret
**Other Important Information You Should Know**
**Expression of Interest:** By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
**Ability to Work Remotely:** Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.
**Work Schedules:** Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
**Schedule for this Position:** 4x10 hour day, 3 days off per week
**Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.**
**The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.**
Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about.
As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.
**Experience Level:** Experienced Professional
**Business Unit:** RMS
**Relocation Available:** No
**Career Area:** Artificial Intelligence
**Type:** Full-Time
**Shift:** First

Our client, a cutting-edge research and development firm at the forefront of Artificial Intelligence and Machine Learning, is seeking an exceptional AI Research Scientist to join their hybrid team in Houston, Texas, US . This full-time position offers a unique opportunity to contribute to groundbreaking research and develop innovative AI solutions that will redefine industries. The ideal candidate will have a strong academic background, proven research experience, and a passion for pushing the boundaries of AI. You will be responsible for designing and executing experiments, developing novel algorithms, and translating complex research into practical applications.

Key Responsibilities:

• Conduct fundamental and applied research in various areas of AI, including but not limited to machine learning, deep learning, natural language processing, computer vision, and reinforcement learning.
• Design, develop, and implement novel AI algorithms and models to solve complex problems.
• Evaluate and benchmark AI models, analyze performance, and identify areas for improvement.
• Collaborate with cross-functional teams (e.g., software engineers, product managers) to integrate research findings into production-ready systems.
• Publish research findings in top-tier conferences and journals, and contribute to patent applications.
• Stay abreast of the latest advancements in AI/ML research and actively participate in the scientific community.
• Mentor junior researchers and contribute to the intellectual growth of the team.
• Develop and maintain high-quality, scalable code for research prototypes and production models.
• Present research findings to internal and external stakeholders.
• Contribute to the strategic direction of our client's AI research roadmap.

Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a closely related quantitative field.
• Minimum of 3-5 years of post-doctoral or industry experience in AI/ML research.
• Strong publication record in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL) or journals.
• Expertise in at least one major AI subfield (e.g., NLP, Computer Vision, Reinforcement Learning, Generative Models).
• Proficiency in programming languages such as Python, with extensive experience using AI/ML frameworks (e.g., TensorFlow, PyTorch, JAX).
• Solid understanding of mathematical foundations of machine learning, including linear algebra, calculus, and probability.
• Experience with large-scale data processing and cloud computing platforms (AWS, Azure, GCP) is a plus.
• Excellent problem-solving skills, critical thinking, and intellectual curiosity.
• Strong written and verbal communication skills, with the ability to articulate complex research concepts clearly.
• Ability to work both independently and collaboratively in a dynamic research environment.

What Our Client Offers:

• Highly competitive annual salary and significant equity/bonus potential.
• Comprehensive health, dental, and vision insurance.
• Flexible hybrid work model based in Houston .
• Generous paid time off and holidays.
• 401(k) retirement plan with company match.
• Unlimited opportunities for professional development, conference attendance, and research collaboration.
• A state-of-the-art research environment with access to cutting-edge resources.
• The chance to work with world-renowned experts and shape the future of AI.

Our client is pioneering the next generation of AI, developing intelligent systems that solve some of the world's most complex challenges. They foster a culture of scientific excellence, open collaboration, and continuous innovation. They are committed to advancing the field of AI responsibly and ethically. Join a team that is defining the future of technology.

If you are an exceptional AI Research Scientist driven by curiosity and impact, apply today to join our client's team in Houston !

Our client, a pioneering technology company at the forefront of innovation, is seeking a talented and driven AI Research Engineer to join their cutting-edge team in Indianapolis, Indiana, US . This role offers an exciting opportunity to contribute to the development of groundbreaking artificial intelligence solutions that will revolutionize various industries. The ideal candidate will have a strong academic background, hands-on experience with AI/ML frameworks, and a passion for solving complex problems through research and experimentation.

Responsibilities:

• Design, implement, and evaluate novel AI/Machine Learning models and algorithms.
• Conduct extensive research into new AI techniques, including deep learning, reinforcement learning, and natural language processing.
• Collaborate with a team of researchers and engineers to translate theoretical concepts into practical, deployable systems.
• Develop and optimize robust data pipelines for training and evaluating AI models.
• Perform rigorous experimentation and analysis to validate model performance and identify areas for improvement.
• Publish research findings in top-tier conferences and journals, contributing to the broader AI community.
• Stay abreast of the latest advancements in AI and emerging technologies, integrating new knowledge into ongoing projects.
• Participate in code reviews, ensuring high-quality and maintainable code.
• Document research methodologies, experiment results, and implementation details comprehensively.
• Contribute to the intellectual property of the company through patent applications and technical disclosures.
• Mentor junior engineers and foster a culture of continuous learning and innovation.

Qualifications:

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 3+ years of experience in AI/ML research and development.
• Strong proficiency in programming languages such as Python, with expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Solid understanding of machine learning algorithms, deep learning architectures, and statistical modeling.
• Experience with data manipulation and analysis libraries (e.g., NumPy, Pandas).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for model deployment and scaling is a plus.
• Excellent problem-solving skills and the ability to conduct independent research.
• Strong communication and collaboration skills, with the ability to articulate complex technical concepts.
• Demonstrated ability to contribute to research papers, patents, or open-source projects.
• Experience with version control systems (e.g., Git).
• Passion for pushing the boundaries of AI technology and its real-world applications.

This is a chance to join a team that is not just applying AI, but actively inventing its future. Our client offers a stimulating work environment, competitive compensation, and the resources needed to excel in cutting-edge AI research.

Our client, a cutting-edge technology firm at the forefront of Artificial Intelligence and Machine Learning innovation, is seeking a visionary AI Research Scientist to join their pioneering R&D team in Jacksonville, Florida, US . This hybrid role offers an unparalleled opportunity to conduct groundbreaking research, develop novel AI algorithms, and contribute to the creation of next-generation intelligent systems. The AI Research Scientist will work on challenging problems in areas such as natural language processing, computer vision, reinforcement learning, and predictive analytics, translating theoretical advancements into practical applications. This position is ideal for a highly skilled and creative individual with a strong academic background and a passion for pushing the boundaries of AI.

Key Responsibilities:

• Conduct independent research and develop innovative algorithms and models in various AI subfields (e.g., deep learning, NLP, computer vision, reinforcement learning).
• Design, implement, and evaluate experiments to test the performance and robustness of AI models.
• Publish research findings in top-tier conferences and journals, contributing to the academic community.
• Collaborate with product development teams to integrate research prototypes into scalable and deployable AI solutions.
• Stay abreast of the latest advancements in AI/ML research and actively explore new techniques and methodologies.
• Contribute to the strategic direction of our client's AI roadmap.
• Mentor junior researchers and engineers, fostering a culture of innovation and continuous learning.
• Prepare technical documentation, research papers, and presentations for internal and external audiences.
• Participate in peer code reviews and contribute to maintaining high code quality.
• Identify potential applications of AI research to solve real-world business challenges.
• Work with large and complex datasets, ensuring data quality and integrity.
• Present research findings at internal seminars and industry events.

Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Mathematics, or a related quantitative field.
• Minimum of 2-5 years of post-doctoral or industry experience as an AI Research Scientist.
• Strong publication record in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) or journals.
• Expertise in at least one major AI subfield (e.g., Deep Learning, NLP, Computer Vision, Reinforcement Learning).
• Proficiency in programming languages such as Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).
• Strong mathematical and statistical foundations.
• Experience with large-scale data processing and cloud platforms (e.g., AWS, GCP, Azure) is a plus.
• Excellent problem-solving skills and the ability to conduct rigorous scientific research.
• Exceptional written and verbal communication skills, with the ability to articulate complex technical concepts clearly.
• Ability to work independently and collaboratively in a hybrid work environment.
• A passion for innovation and a curious mindset.

Our client offers a highly competitive salary, performance bonuses, comprehensive health, dental, and vision benefits, a robust 401(k) plan, and unparalleled opportunities for groundbreaking research and professional growth. They foster a dynamic and intellectually stimulating environment, encouraging exploration and collaboration. Join a team that is defining the future of Artificial Intelligence, making a significant impact on various industries from their innovative hub in Jacksonville. If you are an exceptional AI Research Scientist eager to make a profound contribution, they encourage you to apply!

Our client, a pioneering technology company at the forefront of Artificial Intelligence and advanced machine learning, is seeking a brilliant and innovative AI Research Scientist to join their cutting-edge R&D team. This fully remote position offers the flexibility to work from anywhere, though candidates with strong ties to the tech hub of San Jose, California, US are a plus for occasional collaborative events. The ideal candidate will have a deep theoretical understanding and practical experience in developing novel AI algorithms and models, pushing the boundaries of what's possible in areas like natural language processing, computer vision, or reinforcement learning. You will be responsible for conducting groundbreaking research and translating it into impactful product features.

Key Responsibilities:

• Conduct independent research in core AI/ML areas, including but not limited to deep learning, natural language processing, computer vision, reinforcement learning, and generative models.
• Design, develop, and implement novel machine learning algorithms and models.
• Analyze and interpret complex datasets to identify patterns and insights that can inform model development.
• Experiment with different AI architectures and techniques to optimize model performance, scalability, and efficiency.
• Publish research findings in top-tier AI/ML conferences and journals.
• Collaborate with engineering teams to integrate research prototypes into production systems.
• Stay abreast of the latest advancements in AI/ML research and actively contribute to the scientific community.
• Mentor junior researchers and foster a culture of scientific inquiry and innovation.
• Present research findings and technical concepts clearly to both technical and non-technical audiences.
• Contribute to the strategic direction of AI research within the company.
• Evaluate and recommend new tools, technologies, and methodologies for AI development.
• Participate in the acquisition and curation of large-scale datasets for research.

Qualifications:

• Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.
• 3+ years of post-doctoral or industry experience as an AI Research Scientist.
• Strong publication record in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) or journals.
• Expertise in one or more core AI/ML domains (e.g., NLP, Computer Vision, RL, Time Series Analysis).
• Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or JAX.
• Strong programming skills in Python, with experience in scientific computing libraries (e.g., NumPy, Pandas, SciPy).
• Deep understanding of mathematical foundations of machine learning, including linear algebra, calculus, probability, and statistics.
• Ability to conduct independent research and drive projects from conception to completion.
• Excellent problem-solving skills and a highly analytical mindset.
• Strong written and verbal communication skills, capable of explaining complex technical concepts.
• Experience with large-scale data processing and distributed computing is a plus.

Our client offers an intellectually stimulating environment, competitive compensation, comprehensive benefits, and the opportunity to make significant contributions to the future of AI. Join a team of world-class researchers dedicated to solving the most challenging problems.