Pinterest’s Advanced Technology Group is looking for a Machine Learning Intern at the master’s level for Fall 2026. This internship centers on visual search and recommendation systems, blending research and engineering in a collaborative environment. Interns may help launch new features for millions of users or take part in academic research projects. Role overview This 12-week paid internship runs from September 21 to December 11, 2026. Work may be remote or hybrid, with office locations available in San Francisco, Palo Alto, Seattle, or New York. Team placement determines whether the role is remote or hybrid. What you will do Build and launch new user features using internal datasets and machine learning techniques. Conduct research focused on visual understanding and recommendation systems. Work closely with engineering teams and take part in external collaborations or mentoring. Contribute to features that may reach millions of users or support research for academic publication. Locations San Francisco, CA Palo Alto, CA Seattle, WA New York, NY Remote (team dependent) Internship details 12-week program: September 21 to December 11, 2026 Paid internship Remote or hybrid work (based on team) Application note Applying to this position enters candidates into consideration for multiple machine learning internship roles across Pinterest’s ML teams. Submit only one application within the USA or Canada; multiple applications may delay review.

Pinterest is looking for a PhD Fall Machine Learning Intern with a focus on visual, multimodal, and recommender systems. This internship centers on supporting advanced machine learning projects alongside skilled engineers and researchers. Role overview The position involves contributing to ongoing research and development in machine learning. Interns will have the chance to work on projects that explore visual understanding and recommendation technologies, learning from experienced team members throughout the process. Collaboration Expect to work closely with engineers and researchers who specialize in machine learning. The environment encourages sharing ideas and building solutions that impact Pinterest’s products. Locations San Francisco, CA, US Palo Alto, CA, US Seattle, WA, US New York, NY, US

At Exa, we are pioneering the next generation of search engines designed for the era of artificial intelligence, starting from the foundational Silicon architecture. Our ambitious indexing operation is unparalleled, allowing us to crawl the vast open web at an extraordinary scale. We harness cutting-edge embedding models to comprehend this data and utilize our high-performance Rust-based vector database alongside a $5M H200 GPU cluster, which powers tens of thousands of machines simultaneously.The Machine Learning (ML) division is central to this mission, focusing on the training of foundational models that enhance search capabilities. Our vision is to create systems capable of swiftly filtering the world’s knowledge to deliver precisely what you need, regardless of the complexity of your inquiry—effectively transforming the web into a robust, searchable database.To achieve this ambitious goal, we must define what constitutes “effective search”. This is where your expertise will play a crucial role.We are seeking a talented Machine Learning Evaluations Engineer to develop and implement our evaluation framework at Exa. This position entails exploring methodologies to assess search engines in a world dominated by large language models (LLMs) and crafting the most thorough, innovative, and impactful evaluation suite. Your decisions will influence the future of search optimization and directly affect the research team’s focus, shaping the company’s strategic direction.

At Exa, we are revolutionizing the way AI applications access information by building a cutting-edge search engine from the ground up. Our team is dedicated to developing a robust infrastructure capable of crawling the web, training advanced embedding models, and creating high-performance vector databases using Rust to facilitate seamless searches.As part of our ML team, you'll be instrumental in training foundational models that refine search capabilities. Our mission? To deliver precise answers to even the most complex queries, effectively transforming the web into an incredibly powerful knowledge database.We are seeking a talented Machine Learning Research Engineer who is passionate about crafting embedding models that enhance web search efficiency. Your responsibilities will include innovating novel transformer-based architectures, curating extensive datasets, conducting evaluations, and continuously improving our state-of-the-art models.

About Our Company:At Scribd Inc. (pronounced “scribbed”), we are dedicated to igniting human curiosity. Join us in crafting a universe of stories and knowledge, where we democratize the flow of ideas and information, empowering collective expertise through our innovative products: Everand, Scribd, Slideshare, and Fable.This job posting represents a fully approved, open role within our organization.We cultivate a culture where our employees can express their authentic selves and take bold steps; where we engage in healthy debate and commit to our decisions while adapting to the unexpected; and where every team member is encouraged to take initiative as we focus on our customers.In terms of workplace structure, we value a blend of individual flexibility and community engagement. With our flexible work benefit, Scribd Flex, employees can collaborate with their managers to determine the work style that best accommodates their personal needs. A key aspect of Scribd Flex emphasizes intentional in-person interactions to strengthen collaboration, culture, and connection. Therefore, occasional in-person attendance is necessary for all Scribd Inc. employees, regardless of their location.What qualities do we seek in our new team members? We hire for “GRIT.” In essence, GRIT embodies the intersection of passion and perseverance towards long-term objectives. At Scribd Inc., we are motivated by the potential that this can unlock, and we encourage each employee to adopt a GRIT-ty approach in their work. Tactically, GRIT is a practical acronym that outlines the standards we uphold for ourselves and each other. This means we are searching for candidates who can set and achieve Goals, deliver Results within their job functions, contribute Innovative ideas and solutions, and positively influence the broader Team through collaboration and a proactive attitude.About Our TeamThe Search team drives personalized discovery across Scribd’s suite of products, providing tailored and engaging suggestions to millions of users. We operate at the crossroads of large-scale data, advanced machine learning, and product innovation—working collaboratively across brands and platforms to enhance user experiences in reading, listening, and learning. Our diverse team consists of frontend, backend, and ML engineers who partner closely with product managers, data scientists, and analysts.About the RoleWe are seeking a Senior Machine Learning Engineer to join our Search team, where you will play a pivotal role in enhancing our algorithms and improving user experiences.

The OpportunityJoin us at ComfyOrg as a Senior/Staff Applied Machine Learning Engineer! We are on the hunt for a passionate innovator who is enthusiastic about optimizing model inference. You will play a pivotal role in developing the heart of ComfyUI, our cutting-edge visual AI platform. Your expertise will help us push the limits of AI model performance, making them run faster and more efficiently than ever before.Are You a Match?You are fascinated by model inference, memory management, and torch optimizations.You possess experience in writing production-level PyTorch code that challenges performance standards.You have a passion for understanding the inner workings of AI models.You thrive on developing highly optimized code that consistently delivers results.You believe that the current landscape of ML deployment holds significant room for improvement.Your Responsibilities:Develop and enhance the core inference engine that drives ComfyUI.Optimize large models for speed and memory efficiency.Collaborate with our core team to architect new features.Tackle complex technical challenges within the visual AI domain.Contribute to the future direction of our technology.Experience with diffusion or LLM models, as well as creating custom nodes for ComfyUI, is highly beneficial.

Join Orchard as a Machine Learning Engineer and play a pivotal role in transforming data into actionable insights. In this dynamic position, you will leverage your expertise in machine learning algorithms and data analysis to develop innovative solutions that enhance our products and services.We are looking for a proactive team player who thrives in a fast-paced environment and possesses strong problem-solving skills. You will collaborate with cross-functional teams, engage with large datasets, and contribute to the design and implementation of machine learning models.

OverviewAt Pulse, we are revolutionizing the way data infrastructure functions by addressing one of the most enduring challenges: the extraction of precise, structured information from complex documents at scale. Our innovative architecture integrates advanced schema mapping with finely-tuned extraction models, overcoming the limitations of traditional OCR and parsing techniques.As a dynamic and rapidly expanding team located in San Francisco, we empower Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. Our impressive growth is supported by top-tier investors who believe in our vision.About the InternshipJoin us as a Machine Learning Engineer Intern, where you'll collaborate closely with our founding engineers to tackle core ML challenges that blend computer vision, natural language processing (NLP), and data infrastructure. This internship is tailored for ambitious second- or third-year undergraduate students eager to acquire hands-on experience with production-scale AI systems.Key ResponsibilitiesTrain and optimize OCR, layout, table, and vision-language models.Contribute to model evaluation, data curation, and active learning processes.Enhance inference, batching, and quantization techniques on GPU.Collaborate with engineers to ensure reliable productionization of models.Document insights that guide the future of our model roadmap.Required QualificationsCurrently pursuing a degree in Computer Science, Engineering, or a related discipline.Proficiency in Python and experience with frameworks such as PyTorch or JAX.Familiarity with contemporary vision or multimodal architectures.Strong programming skills with a keen interest in production systems.Preferred QualificationsExperience with distributed training or model optimization tools (e.g., Triton, TensorRT, ONNX).Contributions to open-source projects in ML, NLP, or CV.Compensation$40–$70 per hour based on experience.Includes a daily meal stipend, office perks, and mentorship from our founding team.

Founded in 2007, Airbnb has transformed the way people travel, connecting over 5 million hosts with more than 2 billion guests worldwide. Our platform enables unique stays and experiences that promote authentic community connections. Join Our Team:We are looking for a Machine Learning Engineering Intern to be part of our 2026 Summer Internship Program.At Airbnb, machine learning is at the forefront of our innovation, addressing challenges in areas such as search ranking, payment security, fraud prevention, and user growth, all while ensuring a seamless user experience. Our team actively contributes to the ML community by publishing insightful articles and research at leading conferences. Explore our work on Medium: https://medium.com/airbnb-engineering/tagged/machine-learningThe Search Relevance and Personalization team focuses on developing cutting-edge algorithms and personalizing user experiences across various product surfaces. Our team of over 30 ML Engineers is dedicated to experimentation, frequently conducting A/B tests to enhance the relevance of our offerings. We also engage in applied research, regularly sharing our findings at prominent conferences such as KDD, CIKM, and WSDM. Your Impact:As a Machine Learning Intern, you will be immersed in a collaborative environment where you'll lead a project that aligns with your technical interests and career goals. Your project will explore innovative applications of AI agents to enhance Airbnb's search and discovery functionalities. Internship Experience:During your internship, you will be part of a dynamic team tackling significant challenges. Expect support, mentorship, and engaging activities that will enrich your learning experience and allow you to make a tangible impact on our products as we redefine connection, belonging, and travel.Take ownership of a capstone project from concept to completion.Collaborate with experienced engineers and leaders in the field.

Cheminformatics and Machine Learning InternGenesis Molecular AI is assembling a premier computational team dedicated to creating the industry’s most rapid and precise small molecule property predictions by harnessing the synergy of machine learning and physics-based methods. We invite early-career scientists who excel in the development and application of machine learning, physics, and cheminformatics techniques to advance our ambitious drug discovery initiatives.About the RoleIn this role, you will be an integral part of our machine learning and cheminformatics team, contributing significantly to our internal ML and physics-based platform that propels our drug discovery projects forward.Your responsibilities will likely encompass developing innovative methodologies for potency and ADME/PK property prediction, as well as prototyping integrations with cutting-edge molecular modeling tools.Your ResponsibilitiesLead a groundbreaking research project from concept to implementation, aimed at enhancing our internal tools for potency and ADME prediction.Prototype innovative approaches based on recent academic publications. Design and conduct large-scale experiments to validate promising findings using both internal and public benchmarks.Collaborate closely with our computer-aided drug discovery scientists and medicinal chemists to develop, benchmark, and implement enhancements to our drug discovery platform as it relates to our internal and partnered drug discovery efforts.Your ProfileA graduate student with a strong track record in developing cheminformatics tools and/or physics methods relevant to drug discovery.Proficient in Python programming with a demonstrated ability to navigate and contribute to complex codebases.An experienced machine learning practitioner with familiarity in common architectures and proven skills in troubleshooting real-world applications.A detail-oriented data scientist adept at managing diverse data sources. Familiarity with RDKit, OpenEye, and other cheminformatics libraries is a plus.Passionate about making a tangible impact on drug discovery projects and engaging with a diverse team of ML practitioners, medicinal chemists, and drug discovery scientists.

Join Handshake as a Machine Learning Engineer I, where you will have the opportunity to work on cutting-edge machine learning projects that drive our innovative solutions. Collaborate with a talented team to develop algorithms and models that enhance our product offerings and improve user experiences.

Join Our Innovative Team at HiveHive is at the forefront of cloud-based AI solutions, revolutionizing how organizations understand, search for, and generate content. Trusted by many of the world's largest and most groundbreaking companies, we empower developers with premier pre-trained AI models that handle billions of API requests monthly. Our turnkey software applications leverage proprietary AI models and datasets, driving transformative advancements in content moderation, brand protection, sponsorship measurement, and context-based ad targeting.With over $120M in funding from prominent investors like General Catalyst, 8VC, Glynn Capital, Bain & Company, and Visa Ventures, Hive is rapidly expanding. Our dynamic team of over 250 employees operates from our San Francisco, Seattle, and Delhi offices. If you are passionate about shaping the future of AI, we invite you to explore opportunities with us!About the Machine Learning Engineer RoleAs we strive to achieve our ambitious vision, we seek exceptional machine learning engineers to join our team. We are looking for enthusiastic developers who are eager to remain at the cutting edge of deep learning technology, designing and deploying state-of-the-art neural network models into production. Our ideal candidates thrive in working with large-scale datasets and demonstrate a keen interest in mastering new technologies across the machine learning spectrum. We value individuals who are proactive and take ownership of their projects, contributing innovative ideas and practical implementations. Experience in building machine learning applications from the ground up and designing scalable, maintainable data pipelines is essential.

Join Handshake as an Associate Machine Learning Engineer and embark on an exciting journey in the world of artificial intelligence and machine learning. In this role, you will collaborate with a talented team to develop innovative solutions that leverage cutting-edge technologies. You'll have the opportunity to contribute to real-world projects, enhancing your skills while driving impactful results.

OverviewPulse is revolutionizing data infrastructure by addressing the critical challenge of extracting accurate, structured information from complex documents on a large scale. Our innovative approach to document understanding integrates intelligent schema mapping with advanced extraction models, outperforming traditional OCR and parsing methods.As a dynamic and rapidly growing team of engineers based in San Francisco, we empower Fortune 100 companies, Y Combinator startups, public investment firms, and growth-oriented businesses. With the backing of top-tier investors, we are on an exciting growth trajectory.What sets our technology apart is our cutting-edge multi-stage architecture:Layout comprehension with specialized component detection modelsLow-latency OCR models designed for targeted data extractionAdvanced algorithms for determining reading order in complex formatsProprietary table structure recognition and parsing capabilitiesFine-tuned vision-language models for interpreting charts, tables, and figuresIf you are passionate about the convergence of computer vision, natural language processing, and data infrastructure, your contributions at Pulse will directly influence our customers and shape the future of document intelligence.

Be Part of the Future of Autonomous RoboticsAt Bedrock Robotics, we are pioneering the transition of AI from theoretical frameworks to practical applications in the built environment. Our team is comprised of seasoned professionals who have been instrumental in the success of innovative companies such as Waymo, Segment, and Uber Freight. We are at the forefront of deploying autonomous technologies in heavy construction machinery, significantly enhancing the efficiency and safety of multi-billion dollar infrastructure projects across the nation.With backing from $350 million in funding, our mission is to address the urgent need for housing, data centers, and manufacturing facilities, while simultaneously responding to the construction industry's labor shortages.This position is where cutting-edge algorithms meet the practical world of construction. You will work alongside industry experts and top-tier engineers to tackle complex real-world challenges that cannot be simulated. If you are eager to leverage advanced technology for impactful problem-solving within a skilled team, we encourage you to apply.

About Hive Hive stands at the forefront of cloud-based AI solutions, revolutionizing the way organizations understand, search, and generate content. Trusted by some of the largest and most innovative companies globally, Hive empowers developers with a robust collection of pre-trained AI models that handle billions of API requests each month. Our turnkey software applications utilize proprietary AI models and datasets, enabling transformative use cases in various sectors, including content moderation, brand protection, and context-based ad targeting. As we continue to grow with over $120M in funding from esteemed investors such as General Catalyst and Bain & Company, we are excited to expand our global team of over 250 talented professionals across our San Francisco, Seattle, and Delhi offices. Join us in pioneering the future of AI!Position Overview: Senior Machine Learning EngineerTo propel our ambitious vision forward, we are seeking a dynamic Senior Machine Learning Engineer to join our elite team. This role is perfect for individuals eager to lead the charge in deep learning technology, where you will design, prototype, and deploy cutting-edge neural network models into production. We value candidates who thrive on solving complex challenges with terabyte-scale datasets, are enthusiastic about mastering new technologies across the machine learning spectrum, and take initiative in driving their projects to completion. The ideal candidate will possess a proven track record of developing a machine learning project from inception to deployment, contribute groundbreaking ideas and innovative implementations, and demonstrate the ability to architect scalable, maintainable data pipelines that optimize our AI solutions.

Charter:Join us as a pivotal member of a groundbreaking team dedicated to revolutionizing the field of toxicology by developing advanced AI systems that will replace traditional lab and animal experiments.What We Seek:We are on the lookout for exceptional individuals who can inspire those around them and drive the team towards greatness. Our ideal candidate is someone with high agency—able to identify priorities and take action. We value unique passions and hobbies that may seem niche but reveal a deep commitment and curiosity when explored. Candidates should approach challenges with both intentionality and a sense of wonder, embodying the spirit of exploration akin to an immigrant in a new land or a self-taught coder. A strong desire to learn and grow, coupled with technical excellence and a commitment to mastering one’s craft, is essential. We want those who are willing to tackle daunting challenges and derive satisfaction from the journey as much as the outcome.Your Responsibilities:Establish the foundational end-to-end ML/AI system, including wetlab data generation, data cleaning/processing, model architecture, training, inference, and deployment strategies.Lead innovative research and development initiatives focused on elucidating the interplay between chemistry and biology.Design and scale large models that are pretrained on paired chemistry and biological imagery.Conduct applied research aimed at optimizing, aggregating, and pooling embeddings.Become a thought leader in emerging and underexplored domains, such as molecular graph representations and generative diffusion for biological applications.Develop entrepreneurial skills alongside engineering expertise by creating impactful solutions that deliver substantial value for scientists.Deliver outstanding technology and products that redefine industry standards.Preferred Attributes:...

Join our dynamic Personalization team at Boomtrain as a Machine Learning Engineer. We are in search of a skilled engineer who will play a pivotal role in developing and enhancing our recommendation systems that cater to a variety of customers.In this role, you will collaborate with a talented team dedicated to designing and implementing innovative models and systems that deliver personalized recommendations. You will have the opportunity to work on complex engineering challenges and contribute to generating hundreds of millions of recommendations daily.This position offers a unique chance to engage in end-to-end project work and make a significant impact on our personalization initiatives.Key Responsibilities:Research and propose advanced recommendation and optimization models to enhance our personalization systems.Develop and maintain offline model generation pipelines.Design and maintain online recommendation serving systems.

Join aisafety as a Research Engineer Intern for the Fall 2026 term! This internship is an excellent opportunity to gain hands-on experience in the field of safety engineering, where you will collaborate with seasoned professionals on innovative projects. You will be involved in research and development activities, contributing to advancements in safety solutions.