PhD Internship in Machine Learning Engineering

Join Us in Revolutionizing the Grocery SectorAt Instacart, we believe in sharing the love of food and ensuring that everyone has access to their favorite meals, while also making time for togetherness. We view grocery delivery as an exciting challenge filled with endless possibilities to meet the diverse needs of our community. Our mission is to provide a vi…

PhD Internship: Machine Learning EngineerAbout HandshakeAt Handshake, we are revolutionizing career development in the AI economy. With a network of over 20 million skilled professionals and partnerships with 1,600 educational institutions and 1 million employers, including all Fortune 50 companies, Handshake is the go-to platform for career exploration, hiring, and skill enhancement. Join us as we help individuals transition from freelance opportunities to internships and full-time roles, connecting talent with opportunities at every career stage.Our unique position in the market has catalyzed impressive growth, with projections indicating that we will triple our ARR by 2025.Why You Should Join Handshake Now:Contribute to the evolution of careers in the AI economy on a global scale, making a tangible impact.Collaborate with top AI labs, Fortune 500 companies, and prestigious educational institutions.Play a key role in building a fast-growing business targeting multi-billion-dollar revenues.Position OverviewAs a Machine Learning Engineering Intern, you will be instrumental in crafting intelligent product experiences that assist students in discovering and securing opportunities. Your responsibilities will encompass search algorithms, recommendations, and matching systems that enhance job exploration on Handshake.This internship will provide you with practical experience in developing, assessing, and deploying machine learning models within a production environment, as well as insights into the design, optimization, and maintenance of large-scale ML systems.This is a paid, full-time summer internship with two cohort options:May 18 – August 7, 2026June 15 – September 4, 2026Key Responsibilities:Collaborate with experienced engineers and data scientists to develop machine learning models that enhance product features and improve user experience.Engage in experimentation, model evaluation, and performance monitoring.Participate in technical discussions, brainstorming sessions, and team reviews.Document methodologies and findings to facilitate knowledge sharing and long-term improvements to systems.QualificationsEssential Qualifications:Currently pursuing a PhD in Computer Science, Data Science, Machine Learning, or a related field.Strong programming skills in Python and familiarity with machine learning libraries (e.g., TensorFlow, PyTorch).Experience with data analysis and statistical modeling.Excellent problem-solving abilities and analytical thinking.Strong communication skills and ability to work collaboratively in a team environment.

About the Internship IMC Trading is looking for a PhD Research Intern focused on Hardware Machine Learning to help advance machine learning techniques on custom hardware. This role centers on research that supports IMC's efforts to solve challenges in low-latency inference and hardware acceleration. What You Will Do Work with experienced engineers in a high-performance computing setting Design and manage an independent research project from start to finish Present research findings to the team Develop a prototype or benchmark that supports ongoing projects Location This internship is based in Chicago, United States.

Avride develops autonomous vehicles and delivery robots across the United States, building and operating both autonomous cars and delivery robots with shared core technologies. The company focuses on advancing both fields together through integrated research and engineering. Internship overview The Machine Learning Engineer Internship in Austin, TX offers hands-on work with real driving data and exposure to advanced academic research. Interns join the Perception team, which interprets raw sensor data, including cameras, LiDAR, and microphones, to construct a detailed, real-time 3D view of the environment for autonomous vehicles. Each intern works directly with a senior mentor and contributes to projects that influence the safety and performance of Avride’s systems. The internship bridges theory and practice: interns help turn new concepts and system architectures into working prototypes, then assess their effectiveness in complex, safety-critical scenarios. What you will do Four distinct internships are available within the Perception team for Summer 2026. Projects focus on 3D perception and sensor fusion challenges in autonomous driving. Long-Tail 3D Entity Recognition via Pre-Trained 2D Models Lead efforts to address long-tail entity recognition, a persistent challenge in autonomous driving, by exploring how pre-trained, open-source 2D models can enhance 3D recognition tasks. Design and run simulation-based experiments to test whether models can identify rare or infrequent objects while maintaining precision. Work closely with a mentor to prototype and refine methods for integrating 2D model features into Avride’s perception stack. Present findings, including recall and precision trade-offs, and simulation methodologies, to Avride’s research and engineering teams at the conclusion of the internship. RGB-Only 3D Perception & RGB-LiDAR Fusion Take ownership of a targeted research project aimed at improving 3D perception by reviewing current literature on RGB-only approaches and developing hypotheses to advance sensor fusion techniques.

Join Roblox as a Senior Machine Learning Engineer specializing in Content Suitability! This unique opportunity is designed for early-career PhD graduates who are eager to apply their expertise in machine learning to enhance user experience and content moderation on our platform. Collaborate with a talented team of engineers and data scientists to develop innovative solutions that ensure a safe and engaging environment for our users.

Research Intern (PhD) in Machine LearningBecome a vital member of our team as we strive to create the world's pioneering biological reasoning model. Collaborate with us in developing generative foundational models that interpret biological systems at all scales—from molecules to entire organisms—empowering us to predict, comprehend, and manipulate living systems in unprecedented ways.Output Biosciences operates in stealth mode, led by a team of seasoned founders and biotech experts with numerous successful exits in AI and biology, and proudly supported by renowned venture capitalists including Y Combinator.Our internships offer flexible commitments, requiring a minimum of 20 hours per week for a duration of 12 to 24 weeks. We provide various start dates to align with your academic calendar. Outstanding interns may have the opportunity to transition into full-time roles upon the successful completion of their PhD.Contribute to the advancement of innovative machine learning techniques for biological data analysis and understanding.Design and execute experiments to assess and enhance AI models utilizing large biological datasets.Work collaboratively with our interdisciplinary team to address intricate challenges in molecular biology and drug discovery.Present your research findings and contribute to publications in prestigious conferences and journals.Engage in projects that will have a direct impact on the future of medicine and biotechnology.

Waymo is a pioneering autonomous driving technology firm on a mission to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has been dedicated to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while aiming to save thousands of lives lost in traffic accidents. The Waymo Driver serves as the backbone for our fully autonomous ride-hail service and has the potential to be integrated across various vehicle platforms and applications. With over ten million rider-only trips facilitated by its extensive experience of more than 100 million miles driven autonomously on public roads and tens of billions of miles in simulation across over 15 U.S. states, Waymo is at the forefront of autonomous technology.At Waymo, machine learning models form the essence of our fully autonomous driving capabilities. These models empower the Waymo Driver to interpret its surroundings, make accurate decisions, and transport individuals safely to their destinations. We tackle intricate technical challenges in perception, planning, and control, collaborating closely with hardware and systems engineers. If you are passionate about Level 4 autonomous driving, we would love to connect with you.As an intern at Waymo, you will collaborate with industry leaders on impactful projects that contribute significantly to our mission. We believe in a reciprocal learning experience: you will apply your expertise while gaining opportunities to expand your skill set. Interns are integral to our culture and serve as a vital part of our talent pipeline. Join Waymo for an engaging and fulfilling internship experience!This internship will be conducted on-site at our headquarters in Mountain View, CA.

Join Skydio, the foremost drone company in the United States and a pioneer in autonomous flight technology essential for the evolution of drones and aerial mobility. Our team is dedicated to leveraging expertise in artificial intelligence, top-tier hardware, and software development, alongside a commitment to operational excellence and customer satisfaction. We strive to empower a diverse range of drone users, from utility inspectors to first responders and military personnel.About the Role:As a PhD Autonomy Engineer Intern, you'll be at the heart of our operations, developing computer vision algorithms that enable our drones to perceive their environment. You'll collaborate with a world-class team of researchers and engineers, taking ownership of projects that significantly enhance our products' capabilities.We welcome interns throughout the year (Fall, Spring, Summer) to join our innovative program. This is an exceptional opportunity for those with a strong mathematical background and software development skills who aspire to contribute to the advancement of autonomy algorithms in real-world applications.Your Impact:Drive the rapid R&D of intelligent systems with unmatched autonomous capabilities.Explore, prototype, and evaluate new approaches to enhance our technology.Design and implement innovative features that deliver exceptional value to users.Analyze and measure the performance of vital software and hardware components.

Machine Learning PhD Intern - Large Language Models & Generative AIAt Truveta, we are pioneering the world's first health provider-led data platform with a mission to Save Lives with Data. Our goal is to empower researchers to accelerate the discovery of cures, equip every clinician with expert knowledge, and support families in making informed health decisions. To realize this ambitious vision, we are building an exceptional team of passionate individuals with a unique blend of expertise in healthcare, software, and big data. Join us in making a significant impact.While our headquarters are located in the greater Seattle area, we embrace a remote work culture. Note that participation in the internship requires physical presence within the United States for its duration. #LI-remoteIdeal Candidate ProfileWe are on the lookout for a driven and innovative Machine Learning PhD Intern to join our AI research team, focusing on projects related to Large Language Models (LLMs) and clinical data analysis. We value problem solvers, collaborative team players, and individuals eager to take initiative and create meaningful change. If you seek an opportunity to engage in purposeful work, join a mission-driven team, and shape a fulfilling career while enjoying the journey, Truveta could be the right match for you.Internship OverviewOur Research PhD Internship is tailored for candidates who have completed their coursework and are dedicated to research for their PhD. Candidates should be nearing graduation, within one year of completing their program. We expect candidates to demonstrate independence in formulating their research direction within a specified domain, alongside the capability to devise innovative solutions for our products. Internships typically last a minimum of 10 weeks, with potential for extension based on business needs and candidate interest.

Join Us in Revolutionizing the Grocery SectorAt Instacart, we believe that everyone deserves access to the food they love and the time to enjoy it together. Our mission is to enhance grocery delivery to meet the diverse needs of our community while providing flexible earning opportunities for Instacart Personal Shoppers.As a vital part of the grocery ecosystem, Instacart has become an essential service for millions. We’re assembling a talented team to propel our vision forward. If you're eager to make a significant impact, we welcome you to join us.Embrace Flexibility with InstacartOur Flex First approach allows employees to choose their ideal work environment, whether it’s from home, an office, or your favorite café, while fostering connectivity through regular in-person events. Discover more about our flexible work culture. Role OverviewWe are seeking motivated interns to join Instacart’s Economics team. The ideal candidate will possess a strong foundation in economics and machine learning, ideally as a current or recently graduated PhD student in economics or related disciplines such as marketing, finance, or operations research. Relevant research experience in computationally intensive empirical topics and exposure to machine learning coursework is essential.The Economics team tackles a variety of intriguing challenges at the intersection of machine learning and economics. Our focus areas include aligning incentives within our multi-sided marketplace, assessing the effects of behavioral nudges on customer and shopper decisions, online advertising, uplift modeling, marketplace optimization, logistics, inventory intelligence, and causal inference. For more insights, visit our blog post.

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

About NationGraphAt NationGraph, we are revolutionizing the accessibility and usability of public sector data for businesses targeting municipalities, state agencies, educational institutions, and specialized districts. Our advanced data intelligence engine extracts actionable insights from millions of public sector sources, empowering organizations to make informed decisions. Established in 2024, our mission is to democratize information, ensuring that public data is genuinely accessible to everyone. Discover more at nationgraph.comOur TeamComprises seasoned entrepreneurs who have successfully built, scaled, and exited multiple companies.Developed robust software infrastructure capable of processing billions in transactions.Supported by top-tier venture capitalists and seasoned operating partners with a track record of investing in and nurturing iconic brands.Role OverviewDesign and implement end-to-end machine learning pipelines.Extract and mine data from various online sources through large-scale web crawling and scraping techniques to enhance our models and insights.Convert unstructured text data into structured knowledge using natural language processing (NLP), entity recognition, and bespoke models.Develop and refine text classification models to systematically organize intricate datasets.Enhance retrieval-augmented generation (RAG) systems utilized in our product offerings.Drive our data strategy by identifying and integrating new data sources.Tackle open-ended technical challenges, fostering a culture of learning and collaboration within the team.Primarily utilize Python and SQL for development.QualificationsA strong quantitative background in fields such as computer science, physics, mathematics, or engineering.Solid foundation in mathematics and statistics.A PhD in a quantitative discipline.Expertise in Python programming.Proactive ownership mentality with the ability to address complex technical challenges to create commercial value.A genuine enthusiasm for continuous learning, growth, and uncovering insights from complex datasets.Strong problem-solving, communication, and collaboration abilities in a dynamic work environment.

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.

Embark on an exciting journey with nextgenfed as a Data Science & Machine Learning Intern. In this dynamic role, you will have the opportunity to apply your knowledge in data science and machine learning while contributing to impactful projects. Join our innovative team and gain hands-on experience in a collaborative and supportive environment.

About PathwayPathway is revolutionizing artificial intelligence with the introduction of the world’s first post-transformer model that mimics human thought processes. Our innovative architecture surpasses traditional Transformer models, providing enterprises with unparalleled transparency into model operations. By integrating this foundational model with the fastest data processing engine available, Pathway empowers organizations to transcend mere incremental optimization and achieve genuinely contextualized, experience-driven intelligence. Trusted by prestigious clients including NATO, La Poste, and Formula 1 racing teams, we are at the forefront of AI advancements.Led by visionary CEO Zuzanna Stamirowska, a complexity scientist, our team includes AI trailblazers such as CTO Jan Chorowski, who pioneered the application of Attention in speech and collaborated with Nobel laureate Geoff Hinton at Google Brain, and CSO Adrian Kosowski, a distinguished computer scientist and quantum physicist who earned his PhD at just 20 years old.Supported by prominent investors and advisors like Lukasz Kaiser, co-author of the Transformer architecture (the “T” in ChatGPT) and a key researcher in OpenAI's reasoning models, Pathway is headquartered in Palo Alto, California.The OpportunityWe are on the lookout for passionate Machine Learning/AI Software Engineering interns with a solid foundation in machine learning model research.Your ResponsibilitiesAssist in training Large Language Models (LLMs)Conduct benchmarking of LLMsPrepare and evaluate training datasetsCollaborate with the core Pathway Research TeamYour contributions will significantly impact the advancement of the AI landscape.

About the Internship Bosch Group is seeking an Automated Driving Machine Learning Intern in Sunnyvale, California. This role offers hands-on experience with real projects in automated driving and machine learning. Interns will apply academic skills to practical challenges in the field.

About EarnInEarnIn is a trailblazer in the earned wage access space, dedicated to empowering individuals with financial flexibility tailored for those living paycheck to paycheck. Our community members can access their earnings in real time, enabling them to spend, save, and enhance their financial well-being without burdensome fees, interest rates, or credit checks.With a robust leadership team and esteemed funding partners such as A16Z, Matrix Partners, DST, and Ribbit Capital, we are positioned for rapid growth and are eager to attract top-notch talent to shape our future.Position SummaryAt EarnIn, machine learning (ML) is pivotal to our growth strategy. We harness advanced ML models to inform business decisions and enhance customer experiences. Your role will involve developing and implementing cutting-edge ML systems that leverage our data capabilities. You'll be tasked with thorough formulations, rigorous experimentation, and transforming ML models into efficient production-ready code, while also focusing on robustness monitoring and system logging/alarming.We are inviting enthusiastic students and recent graduates with a solid foundation in machine learning, deep learning, language models, generative AI, programming, and data analysis to join our 12-week Machine Learning Internship Program. You will engage in real-world projects, collaborate with industry experts, gain invaluable insights into the fintech sector, and contribute to meaningful business and social outcomes. This position requires hybrid work from our Mountain View office, with 2 days per week on-site. Compensation for this internship is set at $40 per hour, with a commitment of 40 hours per week for the duration of the program.What You'll DoTrain and optimize large-scale Foundation Models for diverse fintech applications.Work with extensive datasets, encompassing both structured and unstructured data.Contribute to enhancements of our existing ML systems through model, data, or experimental upgrades.Acquire hands-on experience with a variety of technologies, including PyTorch, AWS, Kafka, Databricks, and more.

About the Role Latitude is looking for a PhD AI Research Intern based in the United States. This internship focuses on artificial intelligence research and development. Interns work alongside experienced researchers and engineers, contributing to projects that explore new directions in AI. What You Will Do Collaborate with Latitude's AI research team on active projects Apply advanced research methods to real-world problems in artificial intelligence Share findings and insights with colleagues to help shape ongoing work Who Should Apply Current PhD students or candidates with a strong interest in AI research Individuals eager to deepen their expertise in artificial intelligence Those who want to contribute to impactful projects in the AI field

Location: Remote or Palo Alto, CADuration: 12–16 weeks (flexible)Compensation: Paid, competitiveStart: RollingAbout PalonaAt Palona, we are dedicated to creating real-world AI systems that operate continuously in production environments. Our focus is on developing AI agents that can perceive, reason, remember, and act in physical spaces, starting with restaurants as our initial domain due to its complexity and high signal density.We thrive on research that stands the test of reality, addressing challenges such as partial observability, delayed effects, noisy signals, non-stationarity, and long-term outcomes.Research ScopeThis internship is designed for PhD students eager to tackle applied research challenges linked to deployed systems. You will explore questions stemming from live AI agents functioning in the real world, where ideal assumptions may fail, and understanding system behavior over time is essential.Required Research Background (PhD Level)We seek candidates with extensive research experience in at least one primary area, alongside a working knowledge of related fields.Primary Research Areas (at least one required)1. Sequential Decision MakingReinforcement learning, planning, or controlPOMDPs or decision-making under partial observabilityCredit assignment with delayed and sparse rewardsLong-horizon optimizationRelevant indicators:Publications in RL, planning, or control venuesExperience in implementing and evaluating decision-making agents2. World Modeling and State RepresentationLatent state models for dynamic environmentsTemporal abstraction and hierarchical representationsPersistent memory or state trackingModeling environments that evolve over timeResearch in state-space models, memory-augmented models, or temporal representations3. Reasoning Under Uncertainty and CausalityBelief state estimationUncertainty modeling in dynamic systems with incomplete or noisy informationResearch in probabilistic modeling, causal inference, or dynamic systems4. Multimodal Learning in Real EnvironmentsVision-language modelsLearning from asynchronous, noisy, or partially missing modalitiesSensor fusion or multimodal representation learningPublications or projects involving multimodal modelsExperience working with real-world (not solely synthetic) dataWhat You Will Work OnYour projects will be tailored to your expertise and may encompass:Designing AI systems that effectively navigate complex environments

At Simular, we are at the forefront of AI research, pushing the boundaries of what is possible in machine learning and artificial intelligence. We are seeking a passionate and driven PhD Research Intern to join our innovative team. This position may be based in any of our listed locations, with priority determined according to the order of listing.Your Role:Work closely with our talented research scientists to enhance methodologies in the following areas:Planning and Reinforcement Learning (RL) for computer applications, including behavioral cloning and RL on model weights.Multimodal grounding, focusing on vision-only models and hybrid methods incorporating large models.Reward and Judge Modeling, encompassing error analysis and human evaluation.Understanding user intent, particularly in modeling vague queries and preference learning.Assist in dataset development, conduct experiments, and benchmark results.Investigate innovative approaches to support Simular's long-term technical roadmap.Document and share findings through detailed internal reports and academic-style writing.