Machine Learning Scientist
7 days ago
About Arc Institute The Arc Institute is a new scientific institution conducting curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley. While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include: Funding: Arc fully funds Core Investigators' (PIs') research groups, liberating scientists from the typical constraints of project-based external grants. Technology: Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize, and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators. Support: Arc aims to provide first-class support-operationally, financially, and scientifically-that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction. Culture: We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration. Arc has scaled to nearly 200 people to date. With $650M in committed funding and a state of the art new lab facility in Palo Alto, Arc will continue to grow quickly in the coming years. About the position The Arc Institute is seeking a Machine Learning Scientist to join the Hsu and Konermann Labs at the Arc Institute (also affiliated with UC Berkeley Bioengineering and Stanford Biochemistry). The successful candidate will play a crucial role in advancing the state-of-the-art in generative AI applied to biology, including our frontier DNA foundation model (Evo). You will focus on developing ML models for biological data, leveraging frontier approaches like hybrid masked-causal objectives, discrete diffusion, mechanistic interpretability techniques, and more. You will also apply your models for important computational biology applications in genome mining, molecular technology development, and invention of new therapeutic approaches. This role is a unique opportunity to advance state-of-the-art machine learning in genomics, contribute to high-impact scientific discoveries, and help define how computational approaches shape our understanding and engineering of biology. You will work in a highly collaborative team with expert experimental biologists to realize the full impact of your work, and also have the opportunity to contribute to Institute-wide machine learning efforts such as Arc's Virtual Cell Initiative. About you You are passionate about developing machine learning models with real-world applications and scientific impact You have a strong understanding of modern deep learning, computational biology, and genetics You are excited about collaborating with a multidisciplinary team of experimental biologists and machine learning researchers at Arc You are known for your ability to analyze/visualize complex datasets, build high-quality ML tools, draw meaningful conclusions, and work effectively in a multidisciplinary team. You are familiar with recently reported projects in the lab, including our recent work in the fields of generative genomics and biological design: genomic language modeling, protein language modeling, and discovering new genome engineering tools In this position you will Train and evaluate state-of-the-art machine learning models for molecular biology and genomics Develop methods for applying biological language models to the study of both eukaryotic and prokaryotic genome function and gene discovery Apply recent advances in mechanistic interpretability, such as sparse autoencoders, to the study of genomic language models such as Evo Develop, test, and maintain modular open-source software to accelerate adoption and application of genomic language models. Contribute directly to ongoing discovery projects in the lab in the fields of generative genomics, genome engineering, and therapeutics Effectively communicate analysis results to experimental scientists as well as computational scientists Requirements Ph.D. in Computer Science, Bioinformatics, Computational Biology, Genetics/Genomics, with 0-5 years of industry/academia experience post degree. Hands-on experience with training and evaluating the performance of machine learning models for large datasets High competency with Python, bash, and standard deep learning frameworks such as PyTorch Experience with Linux, git/GitHub, Docker, and Jupyter/RMarkdown notebooks. Appreciation for how choices in experimental design affect the data analysis process. Enjoy working collaboratively and cross-functionally with experimental scientists
-
Machine Learning Engineer
1 week ago
Stanford, United States Qualified Health Full timeJob Summary: We are seeking a highly skilled and experienced Machine Learning Engineer to lead our technical team. This role is ideal for someone who has a deep understanding of deploying scalable AI systems and has a track record of innovation and excellence in a high-stakes environment, preferably with both hyperscaler and startup experience. Key...
-
Principal Machine Learning Engineer
1 week ago
Stanford, United States Qualified Health Full timeJob Summary: We are seeking a highly skilled and experienced Principal Machine Learning Engineer to lead our technical team. This role is ideal for someone who has a deep understanding of deploying scalable AI systems and has a track record of innovation and excellence in a high-stakes environment, preferably with both hyperscaler and startup experience. Key...
-
Senior Machine Learning Engineer
1 week ago
Stanford, United States Qualified Health Full timeJob Summary: We are seeking a highly skilled and experienced Senior Machine Learning Engineer to lead our technical team. This role is ideal for someone who has a deep understanding of deploying scalable AI systems and has a track record of innovation and excellence in a high-stakes environment, preferably with both hyperscaler and startup experience. Key...
-
Manager of Machine Learning
1 week ago
Stanford, United States Gauss Labs Full timeWe seek an experienced ML/AI manager to lead the Machine Learning and Data Science team. The ideal candidate is strong in both practical and fundamental R&D, having deep and broad expertise in several applied science disciplines. The talent we're looking for should have a good overall understanding of state-of-the-art machine learning algorithms and tools....
-
Senior Machine Learning Engineer
1 week ago
Stanford, United States S.T.E.P. Full timeGen Z is the generation of the side hustle. They're creators. They're freelancers. They're investors. And they're not afraid to take on challenges, especially when it comes to their finances - and we're here for it. Step is a next-generation financial services company building a better banking experience to help teens and young adults achieve financial...
-
AI Scientist
5 days ago
Stanford, United States Salesforce Full timeAI Scientist Job Description Salesforce is the global leader in Cloud-based (SaaS) solutions that enable the worlds premier brands to maintain a robust online presence with high ROI. We do that by providing a highly scalable, integrated cloud platform that allows our clients to rapidly launch and manage multiple e-commerce stores, initiate unique marketing...
-
Founding Engineer, Machine Learning
1 week ago
Stanford, United States Lanai Full timeAbout Lanai Lanai Software is at the forefront of the GenAI revolution, empowering humans to achieve the extraordinary in the age of AI. Lanai's AI platform empowers large organizations and employees to discover, protect, and accelerate AI adoption, fostering innovation and unlocking unprecedented productivity. Backed by top investors, we're creating a world...
-
Founding Engineer, Machine Learning
1 week ago
Stanford, United States Lanai Full timeAbout Lanai Lanai Software is at the forefront of the GenAI revolution, empowering humans to achieve the extraordinary in the age of AI. Lanai's AI platform empowers large organizations and employees to discover, protect, and accelerate AI adoption, fostering innovation and unlocking unprecedented productivity. Backed by top investors, we're creating a world...
-
Machine Learning Scientist
1 week ago
Stanford, United States NLP PEOPLE Full timeThe Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firms data and analytics journey. This includes ensuring the quality, integrity, and security of the companys data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing...
-
Machine Learning Research Engineer
1 week ago
Stanford, United States NLP PEOPLE Full timeAbout Voltai Voltais mission is to re-build the physical world through developing super-intelligence to accelerate the pace of hardware innovation. Our focus is to build frontier models that could understand one of the worlds most complex technologies semiconductor and electronics. About the Role Were looking for a Machine Learning Research Engineer who...
-
Machine Learning Engineer
1 week ago
Stanford, United States SambaNova Systems Full timeThe era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized...
-
Machine Learning Engineer/Researcher
1 week ago
Stanford, United States PlayAI Full timeAbout Us: PlayAI is at the forefront of generative voice and conversational LLMs. With our Speech Synthesis and Voice Cloning models, we are building the SOTA conversational AI products. We are building a platform and infrastructure for Conversational AI Voice Agents so that every business, developer, or tinkerer can easily build talking human-like AI agents...
-
Data Scientist
1 week ago
Stanford, United States Quantifind Full timeWho You Are You are a full-stack data scientist, an experienced quantitative thinker who wants to develop further as both a data scientist and an engineer. You are skilled at finding the precise mathematical kernels of real-world business challenges faced by leading international financial institutions. You want to apply your expertise in statistics and...
-
Stanford, United States Ernst and Young Full timeAt EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. The...
-
Stanford, United States Ernst and Young Full timeAt EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. The...
-
Data Scientist
1 week ago
Stanford, United States Machinify, Inc. Full timeMachinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify's revolutionary AI-platform...
-
Deep Learning Engineer
1 week ago
Stanford, United States Matroid Full timeAbout Matroid With the rapid growth of artificial intelligence, more and more expert knowledge is required to use cutting-edge AI techniques to solve real-world problems. At Matroid, we're building an intuitive product that allows anyone to train and deploy computer vision (CV) models without needing to know how to write a line of code. Founded in 2016 by a...
-
Deep Learning Engineer
1 week ago
Stanford, United States Matroid Full timeAbout Matroid With the rapid growth of artificial intelligence, more and more expert knowledge is required to use cutting-edge AI techniques to solve real-world problems. At Matroid, we're building an intuitive product that allows anyone to train and deploy computer vision (CV) models without needing to know how to write a line of code. Founded in 2016 by a...
-
Lead/Senior Data Scientist
1 week ago
Stanford, United States SmartNews Full timeAbout SmartNews SmartNews is a global leader in redefining information and news discovery, committed to providing users with accurate, timely information and supporting quality journalism. We combine the power of our unique machine-learning technology with the expertise of our first-rate editorial team to bring news that matters to millions of users from our...
-
Deep Learning Field Engineer
1 week ago
Stanford, United States Matroid Full timeAbout Matroid With the rapid growth of artificial intelligence, more and more expert knowledge is required to use cutting-edge AI techniques to solve real-world problems. At Matroid, we're building an intuitive product that allows anyone to train and deploy computer vision (CV) models without knowing how to write a line of code. Founded in 2016 by a Stanford...
