756 AI Research jobs in the United States

Who are we?

Coastal Carbon is a seed-funded startup on a mission to create positive impact through earth observation and AI. Founded at the University of Waterloo by a team of PhDs and engineers, we’re backed by some of the best AI and climate tech investors like HF0, Inovia Capital and Propeller Ventures, angels like James Tamplin (cofounder Firebase) and Sid Gorham (cofounder OpenTable, Granular), and partners like Amazon AWS and the United Nations.

What do we do?

We’re building multimodal foundation models for the natural world. We believe there’s more to the world than the internet + more to intelligence than memorizing the internet. Our models are trained on satellite remote sensing and real world ground truth data, and are used by our customers in nature conservation, carbon dioxide removal, and government to protect and positively impact our increasingly changing world. Our ultimate goal is to build AGI of the natural world.

About the role

We are looking for an AI Research Scientist to join our team and contribute to designing and building cutting-edge models.

The role will involve:

• Research & Design:

  • Deep understanding of current machine learning research.

  • Proven track record of generating new ideas or enhancing existing ones in machine learning, evidenced by first-author publications or projects.

  • Contribute to research that uncovers the semantics of large datasets, with a focus on earth observation and remote sensing data.

  • Ability to independently manage and execute a research agenda, selecting impactful problems and conducting long-term projects autonomously.

• Implementation:

  • Developing high-level proof-of-concept (POC) models.

  • Experimenting with new state-of-the-art techniques to surpass existing models.

  • Plan and execute innovative research and development to push the boundaries of current technology.

• Writing and Publication:

  • Assisting in the preparation and writing of technical and scientific papers for publication.

  • Demonstrated strong scientific communication/presentation skills.

Requirements

• PhD degree in computer science, engineering, a related field, or equivalent experience.

• Proven track record of successful machine learning research projects

• 5+ years of experience in relevant jobs

• Strong scientific understanding of the field of generative AI

• Experience showing first-author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)

• Location wise, strong preference for in-person in San Francisco. We are an entirely in-person team, but are willing to consider remote for exceptional candidates.

Nice to have

• Proficiency in scripting languages such as Python, Bash, or PowerShell.

• Demonstrated experience with deep learning and transformer models.

• Familiarity with designing, training, and fine-tuning large models.

• Proficiency in frameworks like PyTorch or TensorFlow.

• Strong technical engineering skills.

• Previous experience in creating high-performance implementations of deep learning algorithms.

• Team player, willing to undertake various tasks to support the team.

Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gill, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, Nvidia, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious.

Responsibilities

• Design a production and training system that allows for an autonomous LLM-powered agent performs various tools across web, browsing, retrieval, code execution in order to answer a user’s open-ended prompt / query and returns a high quality answer with citations.
• Partner with the Core Research & Post-Training Team to refine the expansion, reformulation, querying, and summarization of our models against Perplexity’s retrieval index.
• Improving the speed and quality of our codebase and engineering processes to ensure we consistently deliver an amazing product experience.
• Collaborating with Perplexity GTM leaders as well as a wide breadth of stakeholders (e.g. Motorola, TripAdvisor, etc.) to develop integrated product solutions that span across a wide breadth of research verticals like Travel, Retail, etc.

Qualifications

• Proven research experience with large-scale LLMs and Deep Learning systems.
• Strong Post-Training skills, with a familiarity with both supervised and reinforcement learning techniques, including reward formulation, a good sense for evaluation, etc.
• A strong consumer product intuition especially for Agent products, with a willingness to unblock one-self at any level of the stack, and take ownership of the end-product experience.
• Understands how to make tradeoffs in developing an end-to-end agent, including training technique, model architecture, prompting, etc.
• Minimum of 5 years of working on relevant deep learning research areas.

The cash compensation range for this role is $00,000 - 280,000.

Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.

Equity: In addition to the base salary, equity may be part of the total compensation package.

Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

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1910 Genetics is the only company that has built a synergistic, dual-purpose small and large molecule platform that integrates artificial intelligence (AI), computation, and biological automation to design drug-like molecules better, faster, and cheaper than traditional approaches. Based in the Seaport District of Boston, 1910 Genetics is a Series A stage biotechnology startup that was founded in 2018 and is backed by prestigious investors, including M12-Microsoft’s Venture Fund, Sam Altman – the CEO of OpenAI (makers of ChatGPT), Playground Global, Y Combinator, New Ventures Funds (Scientia Ventures), and many others.

At 1910 Genetics, we first established an understanding of the molecular basis of disease to the granularity at which the world understands sickle cell anemia. This understanding centers biology as our North Star and drives our integration of artificial intelligence (AI), computation, and biological automation to accelerate the design of small molecule and protein therapeutics.

Recent advances in computational technologies have placed historically “undruggable” targets within therapeutic reach. But at 1910 Genetics, we often say “Biology is King,” meaning that computational technologies are only impactful in drug discovery when driven by experimental biology. Our platforms’ scale and breadth empower us to be therapeutic area-agnostic with programs ranging from neuroscience and immunology to infectious disease and oncology, to name a few.

• Act as both an Individual Contributor (IC), who can roll up her sleeve, and play an important role in our mission to use AI/ML to develop drugs against historically difficult disease targets, as well as a Leader who can build and grow the ML Engineering & AI Research team over time.

• Proposal of innovative AI/ML models that address specific use cases in our drug discovery process.
• Development and launch of prototype models.
• Productionization of AI/ML models on AWS.
• The company’s AWS Infrastructure.
• The growth of the ML Engineering & AI Research team.

• Your cross-disciplinary colleagues from Computational Chemistry, Medicinal Chemistry, Computational Biology, Cell Biology, and Pharmacology, how AI/ML can solve important problems for them.

• The process of drug discovery and development.

• Our existing process for incorporating AI/ML into drug discovery.

• Form a view on which AI/ML models address the highest need use cases in our drug discovery process.
• Begin prototyping AI/ML models on AWS.

• Productionize AI/ML models on AWS that would become a cornerstone of the company’s drug discovery efforts.

• Continue improving the first set of production-grade AI/ML models on AWS.
• Build and productionize improved AI/ML models on AWS to harmonize and accelerate our drug discovery process.

• Grow the team with new hires including ML Engineers, AI Researchers, and Product Managers.

This is an exciting time to join a fast-growing startup on a mission to save human lives. If you enjoy working on important problems with a small team of passionate and fun individuals, come join us!

• Extremely generous equity package coupled with competitive salary.

Eon collects large-scale neuroscientific data sets to train machine learning based brain emulations. We believe it is possible to scale this technology in a safe, secure and trustworthy manner in the next decade and empower humanity in unprecedented ways.

This is a senior / executive role responsible for leading and enabling our AI research and/or engineering team to achieve scientific breakthroughs in machine learning driven brain emulation, using exabytes of neurodata.

• Executing and shaping strategy:

  • Early: neurodata scaling laws, transformer based non-invasive human brain foundation model and small organisms emulations.

  • Medium: GPT-4 sized training runs for Mice and Non-Human Primate emulation.

  • 5y+: Human brain emulation prototypes on exascale compute.

• Budgeting: Responsible for R&D budget.

  • Expected budget of ~$30M in first 18 months, eventually hundreds of millions of dollars. (A similar amount will be invested in data acquisition efforts.)

• Team leadership and development:

  • Team will start off with 3-5 individuals and probably will quickly grow to 15, eventually 50-150 people in 2-3 years.

  • Build development infrastructure from scratch to train frontier models.

• Department specific Regulatory Compliance and Risk Management.

• Stakeholder & partnership engagement:

  • Close collaboration with our data acquisition team.

  • Data centers and cloud providers.

  • Research institutions like Mila, Allen Institute or Janelia.

  • Publication of technical reports/papers.

• Fundraising.

• Technical:

  • Experience with training large multi-billion parameter models on multimodal datasets.

  • 5-10+ years of industry experience in software development and exceptional ability.

  • Demonstrated experience with distributed computing frameworks and large-scale cloud services.

  • Ideally experience with different types of neuroscientific datasets.

• Leadership:

  • Oversaw engineering departments, ideally in a start-up context.

• Publication track record.

• We expect everybody, independent of their role, to be:

  • Practicing proactive, concise, and clear written communication.

  • Exceptionally output driven and a well-calibrated, fast, autonomous, and diligent problem-solver.

  • Excited about startup atmosphere - high initiative, agile, and a can-do attitude in a fast changing environment.

Competitive salaries, including equity, apply.

Prima Mente’s goal is to deeply understand the brain, to protect the brain from neurological disease and enhance the brain in health. We do this by generating our own data, building brain foundation models, and translating discovery to real clinical and research impact.

Solve complex biological problems via robust high impact experimental design and critical judgements on project viability. Publish world-class scientific research papers.

• Drive foundational research in ML for biological problems, setting ambitious agendas and leading their execution.

• Conceptualize and develop novel foundation models, scaling them across massive, complex biological datasets.

• Lead high-impact experiments, effectively navigating signal-to-noise in large-scale biological data.

• Collaborate closely with interdisciplinary teams, bridging AI research, computational biology, and experimental scientists.

• Publish influential research in leading journals and conferences, establishing thought leadership in BioAI.

• Mentor researchers, building a vibrant, collaborative, and scientifically rigorous culture.

In 1 month you will be responsible for:

• Deeply understanding our existing biological datasets, research infrastructure, and current foundation-model architecture.

• Formulating clear hypotheses and a prioritized roadmap for foundational model research, including immediate experimental directions.

• Establishing close relationships with interdisciplinary teams (ML engineers, computational biologists, experimental scientists), ensuring effective collaboration.

In 3 months you directly own and have created:

• A prototype or early iteration of a novel AI foundation model specifically designed or fine-tuned for biological datasets.

• Initial experimental results demonstrating significant potential for improving predictive accuracy or biological insights, validating your chosen research direction.

• A clear research proposal and experimental framework presented internally.

In 6 months you have:

• Delivered substantial progress on a state-of-the-art genomic foundation model, validated through rigorous benchmarking and demonstrating measurable biological or clinical impact.

• Authored (or prepared for submission) a manuscript targeting top-tier conferences or journals, clearly establishing the team as a thought leader in BioAI.

• Started mentoring junior team members, actively shaping the scientific and cultural growth of your research team.

• Built productive collaborations across internal and external teams, significantly contributing to the company’s reputation and scientific credibility in AI-driven genomics.

• Meaningful Impact: Contribute directly to research infrastructure that powers discoveries potentially impacting millions of lives.

• Innovation & Autonomy: Work at the forefront of AI and multi-omics, with the freedom to propose and implement state-of-the-art infrastructure solutions.

• Exceptional Team: Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, and engineering.

• Growth Opportunities: Continuous learning and growth opportunities in a rapidly advancing technical field.

What we are doing is extremely hard. Prima Mente is for great people. We are team players who appreciate challenges, want to be hands-on, and thrive on curiosity by throwing away assumptions. We are focused on excellence at pace and huge personal growth. We are strong communicators who are highly disciplined and rigorous.

Prima Mente operates with a flat organizational structure. We gain and share knowledge by contributing to multiple opportunities. Leadership is given to those who show initiative and consistently deliver excellence.

We arrange our lives so we can work in person as much as possible.

• Exceptional performance at exceptional pace

  • The solutions we build demand uncompromising quality and rigour.

  • The problems we are solving are grave and present.

• Inquisitive discovery

  • We embrace curiosity and creativity.

  • Every question is a path to a transformational breakthrough.

• Radical candour

  • We practice unwavering honesty and transparency in all our challenges and interactions.

• Purposeful individuality

  • Every individual in our team is celebrated for their identity, uniqueness, and experiences.

  • We are invested in each one’s bespoke personal development.

  • Nurturing individuality will supercharge our collective purpose and spirit.

• Patient impact at scale

  • We have a steadfast commitment to improve the health and well-being of patients globally.

  • Every experiment run, every dataset analysed, and every innovation developed, is a step towards achieving a scalable impact.

You want to redefine what’s possible at the frontier of AI and biology. You’re intellectually curious, ambitious, and passionate about applying AI to biology. You thrive in interdisciplinary teams, possess an entrepreneurial spirit, and embrace the uncertainty and excitement of pioneering research.

• Experience of leading and building highly collaborative research teams.

• High agency with the ability to jump on any task as needed.

• Hands on end-to-end development of high impact publications that use ML methodologies to solve biological problems.

• Proven track record developing state-of-the-art ML models, ideally including transformers, diffusion models, or multimodal architectures.

• Experience applying ML to large multimodal biological datasets (genomics, transcriptomics, epigenomics, proteomics, single-cell data).

• Exceptional coding skills (Python, PyTorch, JAX, TensorFlow) and familiarity with scalable training frameworks.

• Experience managing large-scale distributed training across GPUs/TPUs.

• Background in generative AI, large language models, mechanistic interpretability, or reinforcement learning.

Our interview process is hard from the beginning, so please do come prepared to show us your strongest self. Marie is based in SF and Hannah in London - we are both available to support this process.

We promise to communicate clearly about our process, look for your strengths, be transparent in our feedback and listen to your feedback - we are always learning.

The interview steps are listed below. 1-3 are done remotely over video call. Our preference for 4-7 is in person, but remote is possible too. At stage 4 more information will be shared about the following steps.

1. Screen with Marie or Hannah

2. Meet Ravi

3. CV Deep Dive

4. Take Home Technical Challenge & Discussion

5. Analysis Challenge with Ravi

6. Systems Design & Live Coding

7. Presentation of your work to the wider team

This is Adyen

Adyen is the financial technology platform of choice for leading businesses, providing payments, data, and financial products in a single solution for global customers like Meta, Uber, and H&M. At Adyen, everything we do is engineered for ambition. We create an environment with opportunities for our people to succeed, backed by a culture that encourages ownership and provides the support to truly own your career. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team, delivering innovative and ethical solutions that help businesses achieve their ambitions faster.

The Opportunity

Adyen is building a top-tier AI research engineering team in San Francisco to help drive our next chapter of innovation. This is a rare opportunity to join as a founding engineer and play a critical role in shaping how we apply AI across our global platform.

We’re looking for a highly technical, hands-on team lead who is deeply immersed in the latest AI research—especially Generative AI (GenAI), Large Language Models (LLMs), and agentic workflows—and is excited to translate ideas into scalable, production-ready systems. You’ll work closely with global teams to explore how AI can enhance our products, improve our infrastructure, and create real business impact.

While the initial focus is on technical depth and execution, we’re looking for someone who also brings experience mentoring others or leading small teams—and who’s excited to help shape and grow our AI presence in the Bay Area over time.

What you’ll do

• Build the founding team of Adyen’s San Francisco AI hub to rapidly prototype AI features and implement research into production-quality systems.
• Translate cutting-edge research papers into robust, scalable code that delivers measurable business value.
• Collaborate closely with global engineering and product teams to integrate AI into existing products and internal tooling.
• Contribute to research efforts in areas such as AI agents for operational workflows, human-in-the-loop systems for Integrity Risk, and experimentation with foundational models.
• Stay connected to the AI research community in San Francisco, attending key events and surfacing relevant trends or partnership opportunities.
• Help shape the long-term vision for AI at Adyen, including how AI interacts with consumers, merchants, and financial institutions.
• Define and track success metrics for your research implementations, ensuring they drive meaningful and visible impact.
• Optionally, contribute to hiring and mentoring as we grow the team in San Francisco.

Who You Are

• You have 10+ years of professional experience in software engineering, machine learning, or applied research, with a proven ability to drive high-impact AI initiatives end to end.
• You’re a highly technical research engineer with a strong understanding of the latest advancements in AI, especially GenAI and LLMs.
• You thrive in ambiguity and are motivated by building from scratch, not inheriting a playbook.
• You have a track record of implementing cutting-edge research into robust, scalable, and well-tested code.
• You bring a strong engineering mindset and write clean, efficient code that performs reliably in production.
• You’ve had some experience mentoring or guiding others—formally or informally—and are excited by the opportunity to help shape a new team.
• You measure the impact of your work and provide clear visibility into what you’re building and why it matters.
• You’re energized by both individual contribution and the chance to influence the direction and culture of an early-stage AI team within a global fintech platform.
• You understand the unique challenges and opportunities in bridging scientific research with real-world applications—particularly within a fintech environment.

Nice to haves

• Experience working at the intersection of AI and fintech, infrastructure, or developer tooling.
• Familiarity with classical machine learning or experience building on-prem or hybrid infrastructure.
• External visibility through open-source work, conference talks, or publications.
• A strong product sense and the ability to identify where AI can create the most impact.

Compensation

The annual base salary range for this role is $228,000 - $400,000, plus RSUs; to learn more about our compensation philosophy, please click here .

Location

San Francisco. Office-first; we do not offer remote-only roles.

Why Adyen?

This is an exceptional opportunity to join a solid, established company with a startup mindset, characterized by small teams, direct communication, and work on important challenges. You’ll have direct access to massive global datasets (e.g., payments, identity data) and the ability to see your team's work have an immediate impact at scale. We offer an environment of ownership and speed, where a focused research team can make a significant difference. You will be at the forefront of bridging AI and fintech, shaping how these two critical areas intersect. We are looking for individuals who are eager to stay connected to the edge of AI innovation while ensuring we deliver practical value to our global platform. You will also be a founding member of the San Francisco AI research team, playing a crucial role in its growth and direction.

While this is a San Francisco-based role, we recognize that global mobility matters—especially for candidates navigating complex situations. Adyen has deep roots in Europe and a strong global presence, and we’re open to future relocation conversations to our offices in Amsterdam or Madrid if that better supports your personal or professional goals in the future. Our aim is to build a lasting foundation for you at Adyen—starting in San Francisco, but with the flexibility to adapt as life evolves.

Our Diversity, Equity and Inclusion commitments

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them—voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Don’t be afraid to let us know if you need more flexibility.

Apply now and lead the charge in building Adyen's AI research presence in San Francisco!

The way we work is guided by the eight principles of the Adyen Formula. Learn more here.

Our engineers are building the first financial technology platform that combines payments, data, and financial services. We’re looking for more talented problem solvers to help us address a unique set of challenges.

Job Description

About Prima Mente

Prima Mente’s goal is to deeply understand the brain, to protect the brain from neurological disease and enhance the brain in health. We do this by generating our own data, building brain foundation models, and translating discovery to real clinical and research impact. 

Solve complex biological problems via robust high impact experimental design and critical judgements on project viability. Publish world-class scientific research papers. 

• Drive foundational research in ML for biological problems, setting ambitious agendas and leading their execution.

• Conceptualize and develop novel foundation models, scaling them across massive, complex biological datasets.

• Lead high-impact experiments, effectively navigating signal-to-noise in large-scale biological data.

• Collaborate closely with interdisciplinary teams, bridging AI research, computational biology, and experimental scientists.

• Publish influential research in leading journals and conferences, establishing thought leadership in BioAI.

• Mentor researchers, building a vibrant, collaborative, and scientifically rigorous culture.

In 1 month you will be responsible for:

• Deeply understanding our existing biological datasets, research infrastructure, and current foundation-model architecture.

• Formulating clear hypotheses and a prioritized roadmap for foundational model research, including immediate experimental directions.

• Establishing close relationships with interdisciplinary teams (ML engineers, computational biologists, experimental scientists), ensuring effective collaboration.

In 3 months you directly own and have created:

• A prototype or early iteration of a novel AI foundation model specifically designed or fine-tuned for biological datasets.

• Initial experimental results demonstrating significant potential for improving predictive accuracy or biological insights, validating your chosen research direction.

• A clear research proposal and experimental framework presented internally.

In 6 months you have:

• Delivered substantial progress on a state-of-the-art genomic foundation model, validated through rigorous benchmarking and demonstrating measurable biological or clinical impact.

• Authored (or prepared for submission) a manuscript targeting top-tier conferences or journals, clearly establishing the team as a thought leader in BioAI.

• Started mentoring junior team members, actively shaping the scientific and cultural growth of your research team.

• Built productive collaborations across internal and external teams, significantly contributing to the company’s reputation and scientific credibility in AI-driven genomics.

• Meaningful Impact: Contribute directly to research infrastructure that powers discoveries potentially impacting millions of lives.

• Innovation & Autonomy: Work at the forefront of AI and multi-omics, with the freedom to propose and implement state-of-the-art infrastructure solutions.

• Exceptional Team: Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, and engineering.

• Growth Opportunities: Continuous learning and growth opportunities in a rapidly advancing technical field.

What we are doing is extremely hard. Prima Mente is for great people. We are team players who appreciate challenges, want to be hands-on, and thrive on curiosity by throwing away assumptions. We are focused on excellence at pace and huge personal growth. We are strong communicators who are highly disciplined and rigorous.

Prima Mente operates with a flat organizational structure. We gain and share knowledge by contributing to multiple opportunities. Leadership is given to those who show initiative and consistently deliver excellence. 

We arrange our lives so we can work in person as much as possible. 

• Exceptional performance at exceptional pace

  • The solutions we build demand uncompromising quality and rigour.

  • The problems we are solving are grave and present.

• Inquisitive discovery

  • We embrace curiosity and creativity.

  • Every question is a path to a transformational breakthrough.

• Radical candour

  • We practice unwavering honesty and transparency in all our challenges and interactions.

• Purposeful individuality

  • Every individual in our team is celebrated for their identity, uniqueness, and experiences.

  • We are invested in each one’s bespoke personal development.

  • Nurturing individuality will supercharge our collective purpose and spirit.

• Patient impact at scale

  • We have a steadfast commitment to improve the health and well-being of patients globally.

  • Every experiment run, every dataset analysed, and every innovation developed, is a step towards achieving a scalable impact.

You want to redefine what’s possible at the frontier of AI and biology. You’re intellectually curious, ambitious, and passionate about applying AI to biology. You thrive in interdisciplinary teams, possess an entrepreneurial spirit, and embrace the uncertainty and excitement of pioneering research. 

• Experience of leading and building highly collaborative research teams. 

• High agency with the ability to jump on any task as needed. 

• Hands on end-to-end development of high impact publications that use ML methodologies to solve biological problems. 

• Proven track record developing state-of-the-art ML models, ideally including transformers, diffusion models, or multimodal architectures.

• Experience applying ML to large multimodal biological datasets (genomics, transcriptomics, epigenomics, proteomics, single-cell data). 

• Exceptional coding skills (Python, PyTorch, JAX, TensorFlow) and familiarity with scalable training frameworks.

• Experience managing large-scale distributed training across GPUs/TPUs.

• Background in generative AI, large language models, mechanistic interpretability, or reinforcement learning.

Our interview process is hard from the beginning, so please do come prepared to show us your strongest self. Marie is based in SF and Hannah in London - we are both available to support this process.

We promise to communicate clearly about our process, look for your strengths, be transparent in our feedback and listen to your feedback - we are always learning.

The interview steps are listed below. 1-3 are done remotely over video call. Our preference for 4-7 is in person, but remote is possible too. At stage 4 more information will be shared about the following steps.

1. Screen with Marie or Hannah

2. Meet Ravi

3. CV Deep Dive

4. Take Home Technical Challenge & Discussion

5. Analysis Challenge with Ravi

6. Systems Design & Live Coding

7. Presentation of your work to the wider team