10,477 AI Researcher jobs in the United States
Principal AI Researcher
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Principal AI Researcher
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AI Researcher - Quant Trading
Posted 1 day ago
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We are seeking experienced AI researchers to join our team to accelerate our efforts.
Researchers have great independence to pursue the research directions they think would be most impactful as part of a small focused team with minimal bureaucracy. They are enabled by state-of-the-art research clusters with very high GPU-to-researcher ratios, and supported by excellent engineering, hardware, and systems teams to realize their vision. Your work will be directly, clearly, highly impactful on the business, and it will be challenging: this is a field with no easy or obvious solutions. You'll be responsible for improving every part of our models: from featurization of data, to architecture design, to training dynamics, to how trading decisions are made.
Qualifications
- Must have two or more years work experience in deep learning research, for any domain: robotics, biology, chemistry, physics, audio, video, etc.
- Experience translating methods between areas of application is highly valued.
- LLM experience is valuable, but not necessary.
- Strong engineering skills valued, especially any of: GPU kernel development, lower-level Pytorch/JAX development, intermediate C++, FPGA/ASIC experience, HPC experience.
The estimated base salary range for this position is $200,000 - $300,000 per year, based on job-related skills and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.
Campus AI Researcher (Intern)
Posted 7 days ago
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Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.
Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.
We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, statistics and market intuition.
Other duties as assigned or needed.
Skills You'll Need:
- Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research
- Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs)
- Solid development skills in Python and/or C++
- Familiarity with ML libraries/frameworks such as PyTorch, TensorFlow, and/or JAX
- Intellectual curiosity, versatility, and originality combined with a pragmatic outlook
- Ability to thrive in a collaborative, team-oriented environment
- Ability to reason through quantitative problems and communicate effectively with trading researchers
- Reliable and predictable availability required
- Experience with HPC and distributed large model training
- Experience with GPU performance optimization (CUDA or ROCm)
- Experience with end-to-end model development
- Strong opinions on best practices in ML research, tooling, and/or infrastructure
INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions.
The estimated base salary for this role is $300,000 per year.
Technical Lead, AI Researcher
Posted 4 days ago
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Apply ( Location:San Jose, California, US
+ Area of InterestEngineer - Software
+ Compensation Range191400 USD - 281400 USD
+ Job TypeProfessional
+ Technology InterestSoftware Development
+ Job Id1447849
**Who We Are**
The AI Software & Platform team delivers AI products and platform for all Cisco Secure products and portfolios so businesses around the world can defend against threats and safeguard the most vital aspects of their business with security resilience. We are passionate about making our customers secure by simplifying security with zero compromise.
**What You Will Do**
As an AI Researcher Technical Lead for our AI Software & Platform team, you will be responsible for leading an innovative team focused on the following:
+ Model Training, Optimization, and Evaluation: This encompasses the complete cycle of training, fine-tuning, and validating language models. You will be designing and adapting LLMs for use in virtual assistants, automated chatbots, content recommendation systems, etc.
+ Algorithm Development for Enhanced Language Understanding: Focusing on the development or refinement of algorithms to improve the efficiency and accuracy of language models and understanding and generation tasks.
+ Applying LLMs to Cybersecurity: Tailoring language models for cybersecurity purposes, such as analyzing threat intelligence, detecting cyber threats, and automating responses to security incidents.
+ Experimentation with Emerging Technologies and Methods: Actively exploring new technologies and methodologies in language model development, including experimental frameworks and software tools.
+ Mentoring and Collaboration: Providing mentorship to team members and working collaboratively with disparate teams to ensure cohesive development and implementation of language model projects.
**Basic Qualifications**
+ Bachelor's degree with 8+ years or Master's degree with 6+ years or PhD with 3+ years of software development experience to include industry experience in machine learning and AI research.
+ 4+ years of experience in natural language processing tools to include experience with large language models (LLMs), text classification, sentiment analysis and natural language generation.
+ 2+ years of experience in Generative AI (GenAI) to include experience with prompt engineering, fine tuning of LLMs, and reasoning-based systems.
+ 2+ years of experience leading, coaching and mentoring engineering teams in a direct or indirect capacity
**Preferred Qualifications**
+ Experience in security focused Saas providers
+ Experience scaling cloud based solutions at an enterprise level
+ Experience in applied science/research
+ Skilled in data preprocessing, cleaning, and analysis, with the ability to work with large datasets and extract meaningful insights.
+ Background in conducting research, designing experiments, publishing papers, and keeping current with the latest advancements in LLMs.
+ The capacity to think critically and tackle complex, innovative problems in the field.
+ A willingness to continuously learn and adapt, crucial in the ever-evolving field of AI
**Why Cisco?**
#WeAreCisco
#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.
Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our
technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.
We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do!
Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us.
**Message to applicants applying to work in the U.S. and/or Canada:**
When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees haveaccess ( to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.
Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:
.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
Lead Quantum AI Researcher
Posted today
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Senior Quantum AI Researcher
Posted today
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Key Qualifications:
- Ph.D. in a relevant quantitative field (Computer Science, Physics, Mathematics, Engineering).
- 5+ years of post-doctoral or industry research experience in AI, Machine Learning, or Quantum Computing.
- Demonstrated expertise in quantum algorithms and their application to AI problems.
- Proficiency in Python and experience with scientific computing libraries.
- Experience with quantum computing platforms and simulation tools.
- Strong publication record in reputable venues.
- Excellent problem-solving, critical thinking, and analytical skills.
- Ability to work collaboratively in a fast-paced research environment.
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Principal AI Researcher, Natural Language Processing
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AI Researcher & Engineer - Infrastructure (Palo Alto)
Posted 3 days ago
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xAIs mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the companys mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
About the RoleThe omni team at xAI creates magical AI experiences beyond text, enabling understanding and generation of content across various modalities, including image, video, and audio.
As a software infrastructure engineer on multimodal, you will develop and optimize scalable frameworks and software for large-scale machine-learning tasks, including model training, inference, and large-scale data processing. You will work together with other members in the omni team and the product team to push the frontiers of model capability as well as the end-to-end user experience.
Focus- Design, build, and implement large-scale distributed training systems.
- Profiling, debugging, and optimizing GPU utilization for multimodal model training and inference.
- Building scalable infrastructure for multimodal data management and crawling.
- Hardware / Software / Algorithm co-design.
- Strong engineering skills with passion to improve different aspects of data and model.
- Has worked on one or more modalities other than text for model training/serving optimization.
- Keeping up with state-of-the-art techniques for preparing multimodal training data.
The role is based in the Bay Area (Palo Alto and San Francisco). Candidates are expected to be located near the Bay Area or open to relocation.
- Python
- Jax / PyTorch
- Spark / Ray
- Rust
After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (phone interview) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews:
- Project deep-dive: Present your past exceptional work and your vision with xAI to a small audience.
Every application is reviewed by a member of our technical team. All interviews will be conducted via Google Meet.
Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
Annual Salary Range$180,000 - $440,000 USD
Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
Interested in building your career at xAI? Get future opportunities sent straight to your email.
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Current company
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If you are currently employed in the field, please tell us your role including your seniority level (e.g. Software Engineer II).
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What exceptional work have you done? *
In 100 words or less, tell us about a piece of work you are most proud of.
Will you now, or in the future, require sponsorship for employment visa status (e.g., H-1B visa) to legally work for X.AI LLC in the U.S? * Select.
#J-18808-LjbffrAI Researcher & Engineer - Infrastructure (San Francisco)
Posted 3 days ago
Job Viewed
Job Description
xAIs mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the companys mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
About the RoleThe omni team at xAI creates magical AI experiences beyond text, enabling understanding and generation of content across various modalities, including image, video, and audio.
As a software infrastructure engineer on multimodal, you will develop and optimize scalable frameworks and software for large-scale machine-learning tasks, including model training, inference, and large-scale data processing. You will work together with other members in the omni team and the product team to push the frontiers of model capability as well as the end-to-end user experience.
Focus- Design, build, and implement large-scale distributed training systems.
- Profiling, debugging, and optimizing GPU utilization for multimodal model training and inference.
- Building scalable infrastructure for multimodal data management and crawling.
- Hardware / Software / Algorithm co-design.
- Strong engineering skills with passion to improve different aspects of data and model.
- Has worked on one or more modalities other than text for model training/serving optimization.
- Keeping up with state-of-the-art techniques for preparing multimodal training data.
The role is based in the Bay Area (Palo Alto and San Francisco). Candidates are expected to be located near the Bay Area or open to relocation.
- Python
- Jax / PyTorch
- Spark / Ray
- Rust
After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (phone interview) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews:
- Project deep-dive: Present your past exceptional work and your vision with xAI to a small audience.
Every application is reviewed by a member of our technical team. All interviews will be conducted via Google Meet.
Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
Annual Salary Range$180,000 - $440,000 USD
Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
Interested in building your career at xAI? Get future opportunities sent straight to your email.
Apply for this job*
indicates a required field
First Name *
Last Name *
Email *
Phone *
Location (City) *
Resume/CV *
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf
Current company
If you are currently employed in the field, please tell us the name of your employer.
If you are currently employed in the field, please tell us your role including your seniority level (e.g. Software Engineer II).
LinkedIn Profile
If you have a public LinkedIn profile, please provide its URL.
X Profile
If you have a public X profile, please provide its URL.
If you have a Google Scholar page, please provide its URL.
What exceptional work have you done? *
In 100 words or less, tell us about a piece of work you are most proud of.
Will you now, or in the future, require sponsorship for employment visa status (e.g., H-1B visa) to legally work for X.AI LLC in the U.S? * Select.
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