584 research jobs found in Palo Alto, CA

What We're Building As Inflection embarks on a new stage of growth, we are focusing on collaborating with commercial partners to adapt and fine-tune our cutting-edge models for their unique business requirements. Our accomplishments in developing, aligning, and deploying state-of-the-art models in our high EQ consumer-facing chatbot, Pi, have established a strong foundation for success. Well-funded and equipped with ample H100 resources, we have built a robust infrastructure and efficient processes to support best-in-class finetuning. By joining our team, you'll have the opportunity to contribute your expertise while being part of a dynamic organization that values innovation and collaboration. About Inflection Inflection is a small, interdisciplinary AI studio. We have trained several state-of-the-art language models, including Inflection 1 and Inflection 2.5, and built a personal assistant named Pi. As a studio, we are currently focused on finetuning and deploying models...

What We're Building As Inflection embarks on a new stage of growth, we are focusing on collaborating with commercial partners to adapt and fine-tune our cutting-edge models for their unique business requirements. Our accomplishments in developing, aligning, and deploying state-of-the-art models in our high EQ consumer-facing chatbot, Pi, have established a strong foundation for success. Well-funded and equipped with ample H100 resources, we have built a robust infrastructure and efficient processes to support best-in-class finetuning. By joining our team, you'll have the opportunity to contribute your expertise while being part of a dynamic organization that values innovation and collaboration. About Inflection Inflection is a small, interdisciplinary AI studio. We have trained several state-of-the-art language models, including Inflection 1 and Inflection 2.5, and built a personal assistant named Pi. As a studio, we are currently focused on finetuning and deploying models...

What We're Building As Inflection embarks on a new stage of growth, we are focusing on collaborating with commercial partners to adapt and fine-tune our cutting-edge models for their unique business requirements. Our accomplishments in developing, aligning, and deploying state-of-the-art models in our high EQ consumer-facing chatbot, Pi, have established a strong foundation for success. Well-funded and equipped with ample H100 resources, we have built a robust infrastructure and efficient processes to support best-in-class finetuning. By joining our team, you'll have the opportunity to contribute your expertise while being part of a dynamic organization that values innovation and collaboration. About Inflection Inflection is a small, interdisciplinary AI studio. We have trained several state-of-the-art language models, including Inflection 1 and Inflection 2.5, and built a personal assistant named Pi. As a studio, we are currently focused on finetuning and deploying models...

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Snapshot    The role of the Program Management Team is to organise and enable our research teams to be the best at what they do and to make fast-paced progress towards our mission. We continually pursue scalable and sustainable ways to optimise research, striving to ensure we cultivate an environment where people can be both highly collaborative and deeply...

About Applied Intuition Applied Intuition is a Tier 1 vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition delivers the AI-powered ADAS/AD toolchain, vehicle platform, and an autonomy stack to help customers shorten time to market, build high-quality systems, and create next-generation consumer experiences. 18 of the top 20 global automakers trust Applied Intuition’s solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com. Please note that we are an in-office company, which means the expectation is that you would come in to your Applied Intuition office 5 days a week. About the role The AI Research...

About Applied Intuition Applied Intuition is a Tier 1 vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition delivers the AI-powered ADAS/AD toolchain, vehicle platform, and an autonomy stack to help customers shorten time to market, build high-quality systems, and create next-generation consumer experiences. 18 of the top 20 global automakers trust Applied Intuition’s solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com. Please note that we are an in-office company, which means the expectation is that you would come in to your Applied Intuition office 5 days a week. About the role The AI Research...

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Snapshot The Mint Team at Google Deepmind tackles the growing threat of media-based misinformation. We develop cutting-edge solutions to detect and understand various forms of manipulated media and misleading presentations of information. Our work spans information quality and integrity, provenance analysis, and the development of tools for automatic fact-checking. We...

About Applied Intuition Applied Intuition is a vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition provides a simulation and validation platform for various industries such as automotive, trucking, construction, and more. 18 of the top 20 global automakers rely on Applied Intuition’s solutions to shorten development cycles, deliver high-quality systems, and accelerate the production of modern vehicles with confidence. Applied Intuition is headquartered in Mountain View, CA, with offices in Ann Arbor, MI, Washington, DC, Munich, Stockholm, Seoul, and Tokyo. Learn more at https://applied.co . Please note that we are an in-office company, which means the expectation is that you would come in to your Applied Intuition office 5 days a week. About the role We are looking for a Head of AI Research who will lead our team in the research and development of cutting-edge machine learning...

The Company You’ll Join Carta is a platform that helps people manage equity, build businesses, and invest in the companies of tomorrow. Our mission is to unlock the power of equity ownership for more people in more places.  Carta is trusted by more than 40,000 companies and over two million people in nearly 160 countries to manage cap tables, compensation, and valuations. Carta also supports nearly 7,000 funds and SPVs, and represents nearly $130B in assets under administration. Carta's tender offer solutions have returned $14B to shareholders in secondary transactions. Today, Carta’s platform manages nearly three trillion dollars in equity globally.  For more information about our offices and culture, check out our Carta careers page . The Problems You'll Solve At Carta, our employees set out on a mission to unlock the power of equity ownership for more people in more places. We believe that the problems we solve today unlock the opportunities of tomorrow. Carta is...

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: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team’s mission is to reverse engineer how trained models work. We believe that a mechanistic understanding is the most robust way to make advanced systems safe. We’re looking for researchers and engineers to join our efforts.  We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as...

The goal of the ML team at Scale is to develop machine learning solutions advancing the company mission. Our current focus areas are in Generative AI, working on LLMs, post-training, RLHF, safety and capabilities evaluations, scalable alignment, and synthetic data. You’ll be working on a combination of deeply technical ML applications in production and cutting-edge research problems. Working at Scale will give you opportunities to work with our wide customer base which includes leading research teams and exposure to a wide range of problems within machine learning.   We are building a large hybrid human-machine system in service of ML pipelines for dozens of industry-leading customers. Our machine learning models form the basis for Scale’s expansion and future product strategy.  We currently complete billions of tasks a month and will continue to grow to support more complex use cases and more advanced ML-powered products. Example Projects: Research and develop machine...

The goal of the ML team at Scale is to develop machine learning solutions advancing the company mission. Our current focus areas are in Generative AI, working on LLMs, post-training, RLHF, safety and capabilities evaluations, scalable alignment, and synthetic data. You’ll be working on a combination of deeply technical ML applications in production and cutting edge research problems. Working at Scale will give you opportunities to work with our wide customer base which includes leading research teams and exposure to a wide range of problems within machine learning.  We are building a large hybrid human-machine system in service of ML pipelines for dozens of industry-leading customers. Our machine learning models form the basis for Scale’s expansion and future product strategy.  We currently complete billions of tasks a month, and will continue to grow to support more complex use cases and more advanced ML powered products. What you’ll do: Research and develop machine...

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Gen AI ML Team  Scale’s Generative AI ML team conducts research on models, supervision, and algorithms that advance frontier models for Scale’s applied-ML teams and the broader AI community. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely with...

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 The role of Research Operations Lead within the Tokens team at Anthropic is to coordinate and enable our teams to be the best at what they do and to make fast-paced progress towards our mission. We continually pursue scalable and sustainable ways to optimize work on real world applications, cultivating an environment where people can be both highly collaborative and deeply creative, making responsible and pioneering research progress at pace. We build strong relationships with teams and team members, bringing clarity to ambiguity and providing stability during change. We continually deepen our domain knowledge, working...

Perplexity is seeking an experienced Research Engineer to shape the future of large-scale language models (LLMs) that power our products. If you're keen on pushing AI boundaries and making a significant impact, this role is for you. Responsibilities Designing and building large-scale data pipelines that feed billions of tokens into LLMs. Scaling and optimizing LLM training infrastructure for maximum efficiency. Ensuring evaluation pipelines are accurate and reliable. Enhancing inference infrastructure to reduce costs and latency while maintaining 99.9% uptime. Continually improving LLM performance and accuracy. Qualifications Proven experience with large-scale LLMs and Deep Learning systems. Strong programming skills; versatility is a plus. Self-starter with a willingness to take ownership of tasks. Passion for tackling challenging problems. Minimum of 2 years  of working on relevant deep learning projects....

Figma is growing our team of passionate people on a mission to make design accessible to all. Born on the Web , Figma helps entire product teams brainstorm , design and build better products — from start to finish. Whether it’s consolidating tools, simplifying workflows, or collaborating across teams and time zones, Figma makes the design process faster, more efficient, and fun while keeping everyone on the same page. From great products to long-lasting companies, we believe that nothing great is made alone—come  make with us! Join Figma's Rapid Research team as one of our Product Research interns and play a key role in shaping the future of our products. This is an exciting opportunity to work collaboratively with the research team and other functions across the organization, contributing to the entire research process from planning to synthesis and communicating insights. As an intern, you will work on multiple projects, gaining hands-on experience and making a tangible...

Perplexity is seeking an experienced Research Engineer to shape the future of large-scale language models (LLMs) that power our products. If you're keen on pushing AI boundaries and making a significant impact, this role is for you. Responsibilities Lead projects that implement state of the art tradeoffs between model accuracy, cost, and latency to deliver a superb search experience. Create a culture of high standards by diving deep into data and evaluations to continually push model performance. Anticipate future LLM needs and create automatic systems to continually improve performance of deployed systems. Advocate for and deliver novel machine learning uses in search. Qualifications Proven experience with large-scale LLMs and Deep Learning systems. Strong programming skills; versatility is a plus. Demonstrated ability to lead teams on challenging 0-1 projects. Strong communicator that can collaborate with whole company....

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding large language models (LLMs).  Safety, Evaluations and Analysis Lab (SEAL) is Scale’s new frontier research effort dedicated to building robust evaluation products and tackling the challenging research problems in evaluation and red teaming. We are actively seeking talented researchers to join us in shaping the landscape for safety and transparency for the entire AI industry. We support collaborations across the industry and the publication of our research findings. Below is a list of SEAL’s representative projects: Design and implement robust evaluation benchmarks. Measure and improve eval reproducibility and reliability. Research and implement cutting-edge model assisted red teaming methods. Develop state of the art LLM based automated rating systems leveraging the Scale ecosystem for customized training data. Develop...

Scale’s Generative AI ML team conducts research on models, supervision, and algorithms that advance frontier models for Scale’s applied-ML teams and the broader AI community. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely with Scale’s Generative AI product team focused on accelerating AI adoption for some of the largest companies in the world.  At Scale, our research is driven by product needs. Your focus will be on developing new foundational models, algorithms, and forms of supervision for Generative AI. You will lead writing, publishing, and adoption of your work internally with applied teams. You will be involved end-to-end from the inception and planning of new research agendas. You'll be creating high quality datasets, implementing models and associated training and evaluation stacks, producing high caliber publications in the form...

Scale works with the industry’s leading foundation model labs to provide high quality data and accelerate progress in machine learning research. As a Machine Learning Research Engineer: Strategic Partnerships Lead, you will design next generation data pipelines and supervision strategies in close collaboration with our customers to accelerate progress in Generative AI. The ideal candidate is highly technical and well-versed in recent research progress for LLMs, while also having great communication skills, customer obsession, and passion for evangelizing new research methods. Successful candidates will become true research partners to several top foundation model labs, contributing technically and strategically to the roadmaps for the next generation of large language models. You will: Collaborate closely with researchers from the top foundation model labs to design new strategies and data pipelines involving human supervision Partner internally with Scale’s Data Engine...