Data science internship jobs in Palo Alto, CA

Salary: $200-250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're expanding our data science organization to accelerate customer success after the initial sale-driving onboarding, retention, expansion, and long-term revenue growth. About the Role As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention. Key Responsibilities Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring. Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value. Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion. Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn. Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals. Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams. Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions. About You Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment. Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning. Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring. Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy. Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders. Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.

TITLE: Data Analyst ANTICIPATED DURATION: 6 months Responsibilities: Collaborate with internal teams and external partners to determine data requirements. Create templates for automated, seamless data collection into databases. Design and structure databases that capture all relevant information for reporting and analysis. Link internal and external data sources for meaningful insights. Create dashboards to highlight key metrics and overall business performance. Requirements: Prior experience designing data collection processes and structuring best practices. Strong analytical skillset; experience building recurring financial reports and visualizations. Required experience with Python, SQL, and Tableau. Understanding of consumer credit processes is a plus. Proven ability to influence and challenge outcomes to drive results. Excellent written and verbal communication skills. Big-picture thinker with curiosity and ownership of details. Strong collaborator with global business partners. The hourly pay rate range for this position is $65 to $75 (dependent on factors including but not limited to client requirements, experience, statutory considerations, and location). Benefits available to full-time employees: medical, dental, vision, disability, life insurance, 401k and commuter benefits. Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the San Francisco Fair Chance Ordinance, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For immediate consideration, please forward your resume to **********************. If you require assistance or an accommodation in the application or employment process, please contact us at **********************. Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals. Learn more about Synergis at *******************

itD is seeking a Data Scientist to build and refine models that support forecasting, operational decision-making, and performance insights across key business areas. This role will translate complex datasets into clear recommendations that improve efficiency and guide strategic planning. The ideal candidate has a strong foundation in Python and statistical modeling, along with hands-on experience in machine learning and operational analytics. This long-term W2 opportunity is hybrid in Fremont, CA. Pay Rate: $75-90/hr per hour, depending on experience. We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Job Responsibilities: Develop forecasting models to support operational and business planning. Analyze large datasets to identify trends, performance indicators, and predictive insights. Build and validate machine learning models to strengthen data-driven decision-making. Collaborate with cross-functional partners to translate findings into practical recommendations. Create clear data visualizations and summaries for leadership and stakeholder presentations. Maintain and refine existing analytical models based on changing business needs. The internal responsibilities will be as follows: Attend regular internal practice community meetings. Collaborate with your itD practice team on industry thought leadership. Complete client case studies and learning material. (Blogs, media material). Build out material to contribute to Digital Transformation practice. Attend internal itD networking events (in person and virtual). Work with leadership on career fast-track opportunities. Required qualifications and skills Strong proficiency with Python for data analysis and model development. Experience building statistical and forecasting models. Experience with machine learning techniques and model validation practices. Ability to translate analytical results into clear business recommendations. Experience handling large-scale datasets and structured data workflows. Preferred qualifications and skills Background in operational analytics or performance optimization. Familiarity with data visualization tools for reporting and presentations. Experience working within large or enterprise environments. Education Bachelor's degree in a relevant field or equivalent work experience required. Company description About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client. You'll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints. The itD Digital Experience: Joining us means you'll be part of our global community, you have a say about your own career journey, and you'll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking & career learning and development programs. We are growing and we want to see you grow! Visit *************************** to learn more about what working at itD can mean for you. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please contact us at ********************** and let us know the nature of your request and your contact information. Additional info Dynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today

JOB Title : Data Scientist + ML Engineer (Gen AI) (NO C2C) Duration : 12 months contract with possible extension We are looking for a highly skilled Data Scientist + ML Engineer (Generative AI)to join our team. In this role, you will be responsible for developing, fine-tuning, and applying advanced generative AI models - including diffusion models, large language models (LLMs), and other state-of-the-art architectures. You will collaborate closely with cross-functional partners in research, data engineering, and operations to deliver high-quality machine learning solutions and scalable datasets. This position requires a balance of technical depth and creative problem-solving. You should be comfortable working with large, complex datasets and possess a strong grasp of modern ML frameworks, distributed computing environments, and end-to-end data pipelines. RESPONSIBILITIES: Design and Implement LLM-Driven Synthetic Data Pipelines: Design and build work flows using LLMs and Gen AI techniques to create high-volume, high-quality synthetic data for model training and testing. Design, implement, and deploy machine learning models with a focus on generative AI (diffusion models, LLMs, and related architectures) Fine-tune, evaluate, and optimize large language models for specific downstream tasks and data needs Develop and maintain scalable data pipelines supporting training, evaluation, and inference workflows Conduct exploratory data analysis to surface insights and identify opportunities for model or data improvement Partner cross-functionally with researchers, engineers, and data program managers to defi ne requirements and deliver high-impact ML solutions Build and enhance internal tools, libraries, and automation work flows to accelerate experimentation and iteration REQUIRED EXPERIENCE AND SKILLS: Bachelor's degree in Computer Science or related fi eld from an accredited U.S. institution 2+ years of experience in Machine Learning or Software Engineering Expert-level proficiency in Python and familiarity with deep learning frameworks such as PyTorch Strong foundation in machine learning algorithms, data preprocessing, and evaluation techniques Demonstrated experience working with diffusion models, stable diffusion, or large language models (LLMs) Excellent analytical, problem-solving, and debugging skills Strong communication and documentation skills with the ability to explain complex concepts clearly Ability to work independently in a fast-paced, iterative development environment

Fast-growing AI healthcare startup is hiring a Founding Data Scientist. Seeking a true “player-coach”, offering the opportunity to shape the data science function from the ground up while remaining hands-on in analytics, modeling, and product collaboration. What You'll Do • Establish the data function: build systems, tools, best practices, and a long-term data strategy • Hands-on analytics and modeling: develop predictive and optimization models, perform ad hoc analyses, and prototype ML applications • Collaborate across teams: work closely with product, engineering, and clinical leaders to uncover trends, inform features, and drive measurable outcomes • Client-facing insights: analyze healthcare data, create dashboards, and translate findings into actionable recommendations • Leadership growth: act as a “player-coach,” mentoring future data hires as the team expands What We're Looking For • 8+ years in data science or advanced analytics • Advanced proficiency in Python and SQL • Experience with healthcare datasets (claims, EMR/EHR, • Strong statistical modeling and ML knowledge (scikit-learn, StatsModels, PyTorch) • Comfortable with ambiguity, able to own end-to-end data initiatives, and influence product/clinical decisions • Strong communication skills for cross-functional and external stakeholder engagement Tech Stack: Python, R, scikit-learn, StatsModels, PyTorch, SQL, healthcare claims + EMR/EHR data, ICD/CPT/HCPCS, BI tools

We are seeking a data-driven and detail-oriented individual to join our dynamic team. This role focuses on delivering actionable insights and enabling business decisions through high-quality reports, dashboards, and data analysis. You will work closely with cross-functional teams and within the Analytics & Data Science Department to design clear reporting tools, ensure data accuracy, define key metrics, and support both recurring and ad hoc analytics needs. Your contribution will be essential in driving operational visibility, stakeholder alignment, and performance transparency across the organization. Duties & Responsibilities 1. Data Visualization & BI: Build and maintain dashboards that present KPIs and performance metrics across business units. Use BI tools or other mediums to deliver automated and self-service reporting. Design reports that communicate data clearly for both strategic and operational use. 2. Data Management & Reporting Operations: Write clean, well-structured SQL queries to extract and transform data for reporting purposes. Conduct regular data validation to ensure accuracy across all reporting outputs. Document all report logic, business rules, and metric definitions to support transparency and repeatability. 3. Stakeholder Collaboration: Work with business units to define reporting requirements and understand data needs. Deliver timely and accurate ad hoc analysis and respond to evolving stakeholder requests. Serve as a subject-matter expert in interpreting and explaining performance metrics and report content. 4. Reporting Infrastructure: Support improvements to reporting systems by identifying opportunities for automation, scalability, and standardization. Assist in implementing alerting mechanisms for critical business metrics. Ensure documentation, folder structures, and version controls are properly maintained and shared. What you bring to the role 5+ years of experience in business intelligence, data analysis, or reporting roles, with a focus on delivering data-driven insights. Proficiency in SQL and business intelligence tools such as Tableau, Power BI, or Looker Studio. Excellent analytical thinking with a solid understanding of metric design, data validation, and reporting logic. Effective communication and stakeholder collaboration skills, with the ability to translate business needs into data solutions. Exceptional attention to detail and commitment to accuracy and consistency in reporting outputs. Ability to manage multiple projects and respond quickly to ad hoc reporting requests in a fast-paced, data-driven environment. Educational and Certification Requirements Bachelor's Degree: A degree in Data Analytics, Statistics, Information Systems, Computer Science, Business, or a related field is typically required, providing a strong foundation in data analysis, reporting methodologies, and business processes. Direct Reports and Span of Control Individual Contributor Rolea Additional Additional Job Description Equal Opportunity Employer: At Athena, we are deeply committed to fostering an inclusive and diverse workplace environment. We believe that diversity enriches our organization, enhances creativity, and drives innovation. We are dedicated to providing equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws. We strive to create an environment where everyone feels valued, respected, and empowered to contribute their unique perspectives and talents. We actively promote diversity and inclusion through our hiring practices, employee development initiatives, and company culture, recognizing that it is essential for our success as a company and as a community.

We're looking for a Research Intern to join WhissleAI and help advance our open-source work at the intersection of speech, vision, and structured understanding - inspired by projects like ************************ ******************** ******************* and recent multi-modal alignment research (example: ************************************************* You'll work on developing audio-visual foundation models that connect voice, context, and environment - enabling systems that can listen, see, and act coherently in real time. Most of this work is open-source and contributes directly to the broader research community. Ideal candidate Undergrad, Master's, or PhD student in CS, AI, or related field Prior research experience (conference/workshop publications a plus) Strong background in one or more of: multimodal learning, audio-visual representation learning, speech modeling, or self-supervised methods Experience with PyTorch, Hugging Face, or similar frameworks What you'll do Prototype and evaluate audio-visual alignment models Extend our open-source ASR and meta-speech pipelines Collaborate on papers, demos, and real-time VoiceAI applications Location: Remote Type: Paid internship / research collaboration

Team Introduction TikTok-Data Science team is responsible for all data science and analytics related work, cooperating with all key value chains in TikTok, including User Growth, PGC, Content Ecosystem, Social, Creation, Product Infrastructure, Research and Science etc. The goal of the team is to generate actionable insights from data and help the stakeholders to make the right decisions. Our main tasks include metrics defining, root cause analysis, experimentation methodology, feature/strategy evaluation and exploratory analysis to find more opportunities. We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok. Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities: * Understanding user & item interests using statistical methods. * Building user clustering and communities based on LLM labeling and understanding abilities. * Coverting communities discovery results into algorithm strategy suggestions.Minimum Qualifications * Good math/Data Science foundations on stats. * Coding skills in python and sqls. * Basic knowledge regarding clustering or community-discovering algorithm. * Large Language Model Application Experiences. Preferred Qualifications * Technical Skills: Familiarity with Excel, SQL, Python, or R, and foundational knowledge of data visualization tools like Tableau, Power BI, and Think-Cell. * Communication: Business-level English proficiency with strong verbal and written skills to effectively engage with stakeholders and present findings to non-technical audiences. * Problem-Solving & Teamwork: Strong problem-solving abilities, attention to detail, and the capability to collaborate effectively with cross-functional teams to implement solutions and drive results. * Being a loyal user of Douyin, Reds, Reddits, or Discord etc.

The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop innovative generative AI technologies based on Large Language Model to power innovative features in both Apple's devices and services on the cloud. As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs. You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple's AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies. As a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills in creating outstanding search and NLP services. This role will have the following responsibilities: - Analyzing search ranking and relevance requirements, issues and opportunities - Developing, fine-tuning, and evaluating domain specific Large Language Models for various tasks and applications in Apple's AI powered products - Conducting applied research to transfer the pioneering research in generative AI to production ready technologies - Understanding product requirements, translate them into modeling tasks and engineering tasks - Building machine learned models for search relevance, ranking and query understanding problems - Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc. - Building end-to-end production system including query understanding and ranking to power search - Applying Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing Excellent data analytical skills Good interpersonal skills and team player PhD preferred PhD, MS or equivalent experience Experience in machine learning, deep learning, information retrieval, natural language processing or data mining Experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs. Proficiency in one of following languages: Python, Go, Java, C++

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving with complex machine learning systems presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! You will: Create innovative statistical and machine learning methods and practical guidelines for assessing early software versions, prioritizing actionable insights and efficient evaluation Develop tools that pinpoint meaningful driving behavior changes resulting from even minor code modifications to major ML model updates, effectively guiding engineer's focus to the signals among noise Develop and optimize sim-based eval strategies for a high priority novel problem area Validate your methodology and provide code to enable ongoing use of your methodology (by leveraging the Alphabet software development infrastructure) Present findings to stakeholders You have: Pursuing a PhD in a quantitative field (e.g. Statistics, Mathematics, Physics, Engineering, Economics, Political Science) A solid statistical theory foundation Excellent data institution- you are able to quickly grasp data challenges, understand the statistical nuances, propose a strategy to solve those challenges, and implement a solution Proficiency in programming with Python with an emphasis on statistical coding, data manipulation, and data visualization; also basic knowledge of SQL Proven skills in effective communication through presentations and written documentation Excellent interpersonal skills We prefer: Experience with developing statistical methodology, casual inference, multiple hypothesis testing, A/B experiments, sampling methods, and/or predictive modeling Experience with interpretation and evaluation of complex ML systems and/or foundation models 3+ years of experience in data wrangling, visualization and data-driven storytelling Fluency in SQL Industry experience Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements.Hourly PhD Pay$85-$85 USD

Moloco builds some of the most powerful AI advertising solutions in the world. Our name-short for "machine learning company"-reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy. Built with AI from day one, Moloco's planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance. Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now! The Impact You'll Be Contributing to Moloco: Data Science and Analytics (DSA) is the global team of Data Scientists and Analysts. As a Data Science Intern in DSA, you will drive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data driven insight and scientific solution. Some examples of past intern projects are: Work on and improve various components of our ad-tech stack including ranking, retrieval, auction/bidding and budget pacing. Conduct deep-dive analysis to influence R&D decisions and strategies: analyze a large dataset with queries and scripts, extract valuable signals out of noise, and produce actionable insights into how we could optimize Moloco's complex bidding system. Design and deploy advanced optimization approaches to improve our ad-delivery: identifying the best ranking, retrieval and bidding strategies that strike the right balance between ROI and revenue trade-offs. Validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modeling. Developing a robust experiment design and metric framework, and providing reliable and unbiased insights for product and business decision making. Stay up-to-date with the latest researches and developments in experimentation and causal inference, and identify opportunities of applying these techniques to business challenges Minimum Qualifications: Able and willing to work from our Redwood City, CA. office. Must be able to work full-time (40-hours per week) for 12-weeks during the summer of 2026 (May - September). Actively enrolled in a Bachelor's, Master's or PhD program in a technical or quantitative discipline during the internship. Candidates pursuing a Bachelor's or Master's degree must be graduating and obtaining the degree by June of 2027. Preferred Qualifications: Ability to manage multiple projects at the same time while paying attention to detail and translate analysis results into business recommendations. Ability to work independently, owning projects end-to-end, solving problems without much guidance. For more information about our internship program, please visit our site here: Moloco Internship Program. Moloco Thrive: Benefits and Well-Being: We take care of you and create the conditions for you to do the best work of your career. We offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. Moloco Values: Lead with Humility: Everyone's voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success. Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what's possible. Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. Go Further Together: We're one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won't let each other fail. Additional Resources: Moloco Company Blog Moloco Leadership Moloco Newsroom Equal Opportunity: Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy. Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you've reviewed our Candidate Privacy Notice.

About the role Muon seeks experienced candidates for the position of Data Science intern. Muon Space is building FireSat, a constellation dedicated to revolutionizing wildfire management and response. The candidate will work closely with the infrared Data Team to develop processing and analytics for the FireSat mission. The ideal candidate has a strong data science foundation, coding experience, and domain knowledge of geospatial data processing. Muon is looking for self-motivated candidates who are comfortable working with a remote team. We welcome applicants who are passionate about addressing climate change. Responsibilities: Internship projects may include some or all of the following: Data Analysis & Processing: Clean, preprocess, and analyze raw data from the FireSat IR camera and simulation to develop exquisite quality data. Model Development: Assist in building, validating, and deploying analytical and machine learning models to improve data quality and improve derived wildfire products. Data Visualization: Create visualizations to present findings and insights to both technical and non-technical stakeholders. Collaboration: Work embedded in the IR Data Team alongside scientists, engineers, and software developers to meet the objectives of the FireSat mission. Research & Innovation: Contribute to research initiatives aimed at advancing data science methods used by the IR Data Team. Qualifications: Educational Background: Currently pursuing a degree in Computer Science, Data Science, Engineering, Physics, Mathematics, or a related field. Technical Skills: Strong programming skills in Python. Comfortable with collaborative coding workflows; specifically, git-managed repositories, pull requests, and cloud-based virtual machine environments. Experience with data manipulation and analysis using libraries such as pandas, numpy, and scikit-learn. Knowledge of data visualization tools (e.g., Matplotlib, ipyleaflet, QGIS). Analytical Thinking: Ability to approach problems methodically and solve complex data challenges with creative and effective solutions. Data Experience: Experience working with messy, complicated real-world data Communication Skills: Strong written and verbal communication skills, with the ability to clearly explain complex concepts to a diverse audience. Passion for Climate: A strong interest in addressing climate change through the development of new technology. Nice-to-have Skills: Experience working with geospatial data processing concepts and software (geopandas, rasterio, GDAL; projections, remote sensing data) Knowledge of cloud computing platforms (e.g., AWS). Familiarity with machine learning algorithms and frameworks (TensorFlow, PyTorch, etc.). Experience working with remote sensing data. Salary The hourly wage for this role is $50. About Muon Space Founded in 2021, Muon Space is an end-to-end Space Systems Provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data. Our revolutionary, integrated technology stack enables customers to optimize every dimension of their missions for faster time-to-orbit and superior constellation remote sensing performance. Our state-of-the-art facility in the heart of Silicon Valley is optimized for manufacturing spacecraft and rapid, flexible payload integration at scale. From climate monitoring to national security, Muon Space is dedicated to delivering Earth Intelligence for a safer and more resilient world. Taking Care of Our Team At Muon salary is only part of our total compensation package. In addition to salary, we provide equity compensation as well as benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer three weeks paid vacation for new employees, along with 12 paid holidays, unlimited sick time and paid parental leave. Our mission embraces the entire planet and we believe our team should too. Muon is dedicated to creating a diverse and dynamic company and workforce. We believe in equal employment opportunity regardless of race, color, ancestry, religion, sex, age, national origin, citizenship, sexual orientation, marital status, disability, or gender identity. We value diversity in the workplace, and that starts with our applicants. We encourage you to apply, even if you don't check all the boxes, and we look forward to reviewing your application! In addition, if you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. ITAR/EAR Requirements This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. The Company may, for legitimate business reasons, decline to pursue any export licensing process.

The Data-Speech department is dedicated to the research and development of core AI technologies and product innovation related to speech, audio, and music. The department supports the entire content pipeline - from production and editing to consumption - empowering content creation and interaction. Operating as a central platform, the team provides cutting-edge technological capabilities and solutions to multiple business units across the company. Responsibilities: 1. Provide in-depth analysis and language-specific knowledge to ensure high-quality, linguistically informed speech model outputs in the target language. 2. Work closely with cross-functional teams to research local market trends and voice preferences to deliver localization solutions and enhance language adaptation of several global products. 3. Assist in the management of speech and annotation data, to ensure compliance with existing standards. Provide detailed feedback on speech model performance, contributing to iterative model improvements.Minimum Qualifications: 1. Currently enrolled in an undergraduate or graduate program in Linguistics, Language Studies, Computational Linguistics, or a related discipline. 2. Native proficiency in English and one of the following languages: Indonesian and Korean. Native-level fluency in these languages will be essential for monitoring the quality of language data, evaluating speech model outputs, and researching cultural trends in these corresponding regions. 3. Ability to provide clear, objective, and structured descriptions of linguistic features of the target language, without relying on native intuition. 4. Strong phonetic perception, including the ability to distinguish phonemic contrasts and fine-grained errors in pronunciation, prosody, intonation and pitch. Preferred Qualifications: 1. Relevant experience in TTS or LLM. 2. Experience in programming, including but not limited to C, C++, Java and Python. 3. Familiarity with local popular culture associated with the target language.

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI is searching for brilliant and ambitious Data Scientist Interns to join our Summer 2026 cohort. This isn't just about running models; you'll be on the front lines, working with iconic global brands on their digital transformation. You will tackle massive, complex datasets to build the next generation of enterprise AI applications that deliver real-world results. As a Data Science Intern, you are a problem-solver and a strategist. You will dive deep into customer challenges, partnering with our expert data scientists, software engineers, and industry specialists. Your mission will be to design and deploy sophisticated machine learning algorithms-from predictive maintenance to fraud detection-at an enterprise scale using our revolutionary C3 AI Suite. You won't just analyze data; you'll turn it into intelligence that drives critical business decisions. Responsibilities: Drive adoption of Deep Learning systems into the next generation of C3 AI products Design and deploy Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance Collaborate with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements Qualifications: Pursuing MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent field Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning) Experience with prototyping languages such as Python and R Strong mathematical background (linear algebra, calculus, probability, and statistics) Experience with scalable ML (MapReduce, streaming) Ability to drive a project and work both independently and in a team Smart, motivated, can-do attitude, and seeks to make a difference Proficient in spoken and written English Preferred Qualifications: Experience with JavaScript and Java Experience with time series and dynamical system A portfolio of projects (GitHub, papers, etc.) C3 AI provides excellent benefits and a competitive compensation package, which include: Salary range: $6,000 - $8,000 USD per month. At the office, we offer a fully stocked kitchen with catered lunches, a free on-site gym membership, Friday social hours with food, drinks, music, and plenty of opportunities to connect and network with your team. C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

Eluvio uses a wide range of machine learning and deep learning techniques within its content fabric. This position offers an internship opportunity for students with excellent academic records pursuing graduate degrees in computer science, data science, or related fields (or advanced undergraduates) to work in our office with our software engineering team on ML, DL and data science solutions. Responsibilities Work with the Eluvio Machine Learning and Data Science Team Build production level machine learning models on large-scale datasets to increase the intelligence of video/audio content Provide data-driven recommendations and actionable insights on problems such as content understanding/augmentation/location Develop multi-functional learning pipelines Collaborate with product and engineering teams to implement models at scale Requirements Desired Qualifications MSc or PhD student in Computer Science & Engineering/Statistics/Math/Physics, or Advanced Undergraduate Deep classroom experience in data science or machine learning or prior internship Comfortable with Python or R Knowledge of machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Sci kit-learn) Knowledge of computer vision and natural language processing Great communication skills, organized, able to multitask and be a team player Ability to balance attention to detail with agile execution Benefits Paid internship

SwingVision is the AI tennis & pickleball app that provides automated stats, highlights, and line calling using just your phone. Our mission is to democratize the pro sports experience for all athletes. Led by AI experts from Tesla & Apple, we are a small but passionate team building a category-leading consumer product and pushing the limits of what's possible on a mobile device. Recent achievements include:• 2023 Apple Design Award, Editors' Choice on the App Store, and 4x App of the Day • Featured in Apple Keynote events, Forbes, Esquire, CNET, The New York Times• Trusted by 50k+ players, coaches, and federations all across the globe• Investors include Andy Roddick, Lindsay Davenport, and James Blake 💼 The Role We are currently seeking part-time Data Labelers to bring our ball-tracking A.I. to all racket sports. As a data labeler in our startup, you will work alongside our Machine Learning team in Berkeley, become knowledgeable in basic computer vision concepts, and learn how a consumer artificial intelligence product is made.Responsibilities Record video of pickleball & tennis players on the court Accurately label images of pickleball/tennis balls and players Update data labeling guidelines with edge cases and other difficult scenarios Provide feedback & suggestions to help improve the design of our labeling interface Maintain a labeling accuracy of greater than 95% Requirements Agility in using a keyboard & mouse Deep attention to detail, quality and patience Thorough knowledge of tennis or pickleball terminology (e.g. serviceline, baseline, doubles alley, deuce court, ad court, kitchen/NVZ, forehand, backhand, topspin, slice, etc.) Preferred Comfortability using mac OS Passion for playing video games with a keyboard & mouse Bonus Avid user of the SwingVision app Passion for Racket Sports or Artificial Intelligence SwingVision is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Us: Notion helps you build beautiful tools for your life's work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email-with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money. In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays. This internship will take place from January - April or May - September (based on your summer schedule) and you will need to be able to work out of our SF or NYC office during this time. About The Role: Millions of people use Notion - and this number is increasing every day. That means a million people trust us to deliver a fast, reliable, and secure experience, and we value this more than anything. We want to keep earning trust, while also continuing to amaze our users with the tools they can build in Notion. This is where you come in. You will be one of our first data science interns and will help us forge a performant and reliable path forward to Notion's future. During your 12-week internship, you will be paired with a mentor that will help guide you as you work closely with our team to build and ship impactful projects. These projects will drive valuable impact to our customers. What You'll Achieve: Conduct data analyses to gain insights about Notion and use these insights to uncover opportunities for improvements in our product and business. Communicate these insights with actionable recommendations to cross-functional teams (insights are useful, impact is even better!). Work with cross-functional partners across the product and business to learn about their functions and use data to advance their respective areas. Create metrics and build dashboards to monitor the growth and health of Notion. Communicate insights and recommendations effectively to leadership and have an impact on strategic decision-making. Qualifications: Pursuing a bachelor's or master's in a quantitative field such as Economics, Statistics, Applied Math, Engineering, Computer Science, or Natural Sciences. Targeting a full time start date prior to Summer 2027. This internship will take place from January - April (for winter) or May - September (based on your summer schedule) and you will need to be able to work out of our SF or NYC office during this time. Previous data science internship experience. Proficient in SQL for data extraction, transformation, and analysis. Working towards proficiency in one or more scripting languages such as Python or R. You find large challenges exciting and enjoy discovering problems as much as solving them. You are able to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment. Skills You'll Need to Bring: Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck. Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact-good and bad. Willingness to learn: If you haven't worked in the SaaS productivity tool space before or have never analyzed an A/B test, you are open to acquiring the necessary domain knowledge and skills to contribute. Balance work quality and speed: You can deliver high-quality, accurate analyses while recognizing that the goal is to influence business decisions rather than achieve perfect measurement. Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same. Nice to Haves: You have previous intern experience working with product, engineering, or GTM teams. You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others-and understand why we're big fans of their work. You have interests outside of technology, such as in art, history, or social sciences. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated hourly range for this role is $55/hr for Bachelors and $59/hr for Master's. #LI-HYBRID

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Internship Term: Summer 2026 This is a bucket application, and is not an official opening. Your application can be considered for Rivian's 2026 internship programs. If you are selected, you will receive communication with specific responsibilities and qualifications for the role you are being considered for. Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December 2026 and June 2028. If you are not pursuing a degree, please see our full time positions on our Rivian careers site. Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements. Responsibilities Applying to this opening will place you into consideration of Rivian's 2025 Internship programs. Teams your application can be considered for include: Autonomy, Data Science & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering Qualifications Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues Previous experience working within AI frameworks, highly preferred. Previous experience in machine learning research or project work is highly desirable. Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch. Pay Disclosure Salary Range/Hourly Rate for Internships: The range of pay for internships is 25.00-51.00 per hour. Actual compensation will be determined based on location, and other factors permitted by law. Rivian provides robust wellness benefits, and a medical insurance package for interns, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues Previous experience working within AI frameworks, highly preferred. Previous experience in machine learning research or project work is highly desirable. Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch. Applying to this opening will place you into consideration of Rivian's 2025 Internship programs. Teams your application can be considered for include: Autonomy, Data Science & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity The Adobe Data Science team is looking for summer interns. The team applies AI and machine learning techniques to big customer data to address and challenge business problems, such as driving go-to-market strategies, sales prioritization, growing product engagement and customer service improvement. As a Data Science Engineer Intern, you'll work on modern AI quality measurement, evaluation systems, and user analytics that directly influence how millions of Adobe customers interact with AI-powered product assistants across Adobe Experience Platform (AEP). All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities. What You'll Do Build and implement evaluation frameworks to measure AI Assistant quality across Quality metrics Build automated evaluation pipelines using LLM-as-a-judge systems and classical ML models Analyze complex user interaction data to identify patterns in AI Assistant performance and failure modes Extract and analyze user conversation data to understand customer journeys with AI assistants What You Need to Succeed Currently enrolled full time and pursuing a Bachelor's or Master's in Statistics, Mathematics, or Engineering is desired; or equivalent experience required with an expected graduation date of December 2026 - June 2027 Solid understanding of SQL and R/Python Understanding of statistical modeling/machine learning/ data mining concepts, and a track record solving problems with these methods. Ability to apply statistical/machine learning techniques such as hypothesis testing, time series forecasting, linear and logistic regression, random forests, etc. Ability to participate in a full-time internship between May-September Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $55.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.