Research internship jobs in Santa Maria, CA - 2,747 jobs

A leading AI research company in San Francisco is hiring for a position on their Audio team. The role involves developing and training advanced audio models, optimizing performance, and working collaboratively across teams. Ideal candidates will have strong expertise in JAX or PyTorch, a background in audio machine learning, and a passion for creating safe, reliable AI systems. The compensation ranges from $350,000 to $500,000, and the position offers flexible working hours and a supportive team environment. #J-18808-Ljbffr

A leading investment consulting firm in San Francisco seeks a hedge fund investment analyst to conduct research and monitor hedge fund performance. The candidate will collaborate with a team to provide insights into hedge fund strategies and assist in presentations to clients. An ideal candidate will possess a bachelor's degree in finance or a related field, along with two years of related experience. A commitment to strong communication and client relationships is essential. #J-18808-Ljbffr

Fund & Co-Investment Research Associate About Allocate Allocate is transforming private market investing by enabling wealth advisory firms to seamlessly build and manage high-quality private market programs. About the Role We're seeking a Fund & Co-Investment Research Associate to join our Private Investments team. This isn't a traditional allocator role, as you'll be a critical connector between world-class fund managers, wealth advisory CIOs, and help build and manage our technology platform. You'll evaluate venture capital and private equity opportunities, conduct manager diligence, and spend significant time with wealth advisor investment teams discussing curated deals. You need to deeply understand opportunities, answer sophisticated questions, and provide clear, accurate analysis that helps clients make confident investment decisions. Equally important, you'll own the completeness and accuracy of our platform content, ensuring all investment materials, copy, and compliance documentation stay current. Key Responsibilities Investment Research & Diligence: Conduct quantitative and qualitative research on private market managers and co-investment opportunities across venture capital, private equity, and adjacent asset classes. Prepare balanced investment analysis and recommendations. Client Engagement: Spend substantial time with wealth advisor CIOs and their investment teams discussing curated opportunities. Field detailed questions, articulate investment theses, and provide real-time analysis that demonstrates deep command of each deal. GP Relationship Development: Build and maintain relationships with fund managers, including structuring conversations, access discussions, and ongoing partnership development. Platform Completeness: Own platform content integrity-ensure investment materials are updated, copy is accurate and compliant, and all client-facing documentation metour quality standards. Sourcing & Pipeline Development: Proactively source differentiated fund and co-investment opportunities through targeted outreach, industry relationships, and market intelligence. Cross-Functional Collaboration: Partner with product, technology, and operations teams to refine platform capabilities and enhance the client investment experience. Portfolio Monitoring: Support post-investment updates, quarterly reporting, and ongoing portfolio analytics for client transparency. Market Intelligence: Develop insights and content that position Allocate as a leading voice in private markets. Qualifications Experience & Knowledge: 3+ years of experience in venture capital, private equity, wealth management, investment banking, or related fields. Deep industry knowledge of the VC/PE ecosystem, fund structures, and how institutional platforms operate. Strong understanding of private markets and alternative investments. Skills & Attributes: Hustler mentality: Proactive, resourceful, and self-directed-you don't wait to be told what to do. Exceptional communication: You can explain complex investment concepts clearly and handle sophisticated Q&A with institutional allocators. Highly personable: You build authentic relationships with both GPs and wealth advisory teams. Commercial mindset: You think about client needs, platform scalability, and growth. Startup DNA: You thrive in fast-paced environments, embrace ambiguity, and move quickly. Meticulous attention to detail: You ensure accuracy and compliance across all materials. Analytical excellence: You combine quantitative rigor with qualitative judgment. Not a Fit If You're: A pure allocator looking for a traditional fund-of-funds seat. More comfortable with analysis only role than relationship-building and client engagement. Seeking a slow-paced, process-heavy environment. Unfamiliar with how technology platforms operate. Why Allocate? Shape the infrastructure layer for an entire industry. Ability to immediately work with top VCs and PE firms, along with CIOs in the wealth advisory world. Allocate is one of the fastest-growing platforms in private markets. Palo Alto office in the heart of the venture ecosystem. High impact, high visibility work with real ownership and autonomy. Additional Information Location: Palo Alto, CA. Must be able to work in-office 4 days a week. Compensation: $160K-$200K base + bonus + stock equity. Benefits: Medical, dental, vision, 401(k), responsible time off. Employment: Full-time. Compliance: This role is subject to Allocate's Code of Ethics and all related compliance obligations. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Must have legal authorization to work in the U.S. now and in the future without visa sponsorship. #J-18808-Ljbffr

The Research Specialist is assigned to provide support for the officers, staff, and members on a citywide basis. The Research Specialist is responsible to the Strategic Research Director. DUTIES AND RESPONSIBILITIES A. Monitor and maintain a database of pertinent information relevant to bargaining, organizing and preservation of the tenets of UTLA. B. Collect and analyze public records in order to understand school district practices and policies, finances, and other relevant issues. C. Research current economic, social, and policy trends to inform or make appropriate strategic recommendations. D. Create research-based materials with high quality sourcing on individuals, organizations, issues, and institutions in order to support a variety of campaigns including new organizing, bargaining, representation, common good and other policy demands. E. Develop tools and materials to assist staff, leadership and members with power analysis and strategic planning. F. Prepare non-academic reports, data analyses, and presentations on a wide range of topics for internal and external audiences in collaboration with other departments including Organizing and Representation, Communications, Political and Community Organizing, and UTLA leadership as requested. G. Maintain research library. H. Perform other duties as assigned by the Strategic Research Director. PRIMARY KNOWLEDGE, SKILLS, AND ABILITIES A. Demonstrated quantitative and analytic skills as well as familiarity with public and private data sources. B. Competency with software applications including strong proficiency in Excel, PowerPoint, and other analytical tools, including the ability to create graphs, presentations, and reports. C. Comprehensive communication skills for oral, written, and visual presentations, including explaining complex information in accurate, concise, and useful terms. D. Knowledge of the labor movement and experience supporting union campaigns. E. Experience collecting and analyzing data related to budgets, compensation, economic and demographic surveys, reports and databases, employer staffing and financial reports, real estate, contracts, corporate structures and relationships, and labor agreements. F. Experience synthesizing research for practical planning purposes. G. Completion of an undergraduate degree. H. Ability to handle multiple assignments and meet deadlines. SECONDARY KNOWLEDGE, SKILLS, AND ABILITIES A. Experience conducting industry research is considered a plus, especially in the education sector. B. Familiarity with programs such as SQL, R, Python, BigQuery, Tableau. C. Prior work experience in a union environment is preferred. D. Familiarity with UTLA and/or its affiliates. DESCRIPTION OF THE ORGANIZATION UTLA is a democratic union that represents 38,000 bargaining unit members in such diverse groups as Counselors, Nurses, Psychologists, Social Workers, Librarians and Classroom Teachers. Wages, hours and working conditions of unit members are covered in the Collective Bargaining Agreement in effect between the Los Angeles Unified School District and UTLA or collective bargaining agreements between UTLA and independent charter school employers. Los Angeles Unified is a metropolitan school district of over 400,000 students, the second largest school district in the country. Within the District there are over 800 school locations and a school budget of over $8 billion. We are a local union affiliated with the California Teacher Association, California Federation of Teachers, National Education Association and American Federation of Teachers. SALARY AND FRINGE BENEFITS UTLA staff is represented by a staff union with a negotiated agreement and just cause. Beginning salary range for this position will be $119, 503 - $130,584 per year depending on prior skills and experience, with regular step increases. Fringe benefits include employer paid medical, dental, vision care for staff members and eligible dependents. There are excellent retirement plan options and a monthly automobile allowance for maintenance and operation of a car. Parking is provided. HOW TO APPLY Please email Cristina Alfonso, Confidential Executive Assistant, ***************** for an application and details of documents to be submitted with the application. Two letters of recommendation demonstrating experience and knowledge will be required when submitting application and other requested documents. All required documentation including completed application, letters of recommendation, resume and requested documents must be received by UTLA no later than February 16, 2026. United Teachers Los Angeles Attention: Cristina Alfonso, Confidential Executive Assistant 3303 Wilshire Blvd., 10 th Floor Los Angeles, CA 90010 UTLA IS AN EQUAL OPPORTUNITY EMPLOYER

A leading tech company invites applications for a Machine Learning Engineer to advance AI research in California. The role focuses on Generative AI and requires a PhD or Master's degree, with a minimum of 3 publications in AI. The candidate will collaborate across teams and publish findings, contributing to networking solutions and AI innovations. This full-time position offers a competitive salary and benefits, fostering an inclusive workplace culture. #J-18808-Ljbffr

The NEAR AI team is building decentralized and confidential machine learning infrastructure to enable user-owned AI. Our mission is to make open-source AI truly accessible by bringing together researchers worldwide to advance model research, fine-tuning, and large-scale training. We are seeking a Research Engineer with a strong background in large language models (LLMs) and reasoning systems to help push the boundaries of AI innovation. What You'll Be Doing Designing and executing fine-tuning pipelines for open-weight LLMs across diverse use cases, from concept to deployment. Conducting research on novel reasoning architectures and training methods to improve model performance. Collaborating with researchers and engineers across institutions to accelerate progress in AI research. Contributing to open-source projects and advancing best practices in decentralized AI development. What We're Looking For Strong hands-on experience in LLM training, fine-tuning, and evaluation. Deep understanding of reinforcement learning (RL), particularly in the context of reasoning. Strong problem-solving skills and the ability to communicate technical ideas clearly to diverse collaborators. A passion for advancing open and decentralized AI ecosystems. We'd Love If You Have Experience with formal verification Experience with trusted execution environment (TEE) Contributions to open-source machine learning libraries Please let us know if you require any special requirements for your interview and we'll do our best to accommodate. Locations: San Francisco. Apply for this job #J-18808-Ljbffr

Employment Type Full time Department AI Note - Below contains the outcomes and competencies for the team. If you bring standout strengths in some areas but not all, you are still encouraged to apply. Mission Design, train, ship, iterate on, and innovate on the AI brains behind Pathos' AI Therapist. Combine research, data science, and engineering to create models, orchestration, and evaluation systems that make therapy conversations deeply effective, clinically grounded, and safe. Outcomes Improve quality of AI Therapy: Deliver measurable improvements in conversation quality, therapeutic alliance, and user outcomes through fine-tuning strategies, training data curation, building RL environments, new model architectures and other AI innovations. Improve evaluation of AI quality: Improve on and maintain a robust eval stack that includes scripted tests, LLM-as-judge evaluations, human ratings, and safety checks. Improve automated regression testing, detection of defects, and observability (eg dashboards). Own AI system. Build, maintain, and iterate on the production codebase that delivers AI therapy and supports the evaluation and iteration of our AI. Productionize Models and Pipelines. Own the path from notebook to production: training jobs, model packaging, deployment, monitoring, and rollback strategies. Keep latency, reliability, and cost within agreed budgets while enabling rapid iteration on new ideas. Improve Safety, Alignment, and Clinical Guardrails Work with clinicians and internal experts to encode clinical guidelines into prompts, reward functions, tools, and filters. Proactively identify and reduce harmful or low-quality behaviors through targeted experiments, red teaming, and mitigations. Own Research Roadmap and Experiment Velocity Run high-quality experiments from hypothesis to analysis to improve our understanding of what matters and what works. Shape and execute a focused R&D roadmap. Collaboration with Clinicians, Product, and Engineering. Translate product and clinical requirements into concrete model and system changes. Partner with full-stack product engineers so that new AI capabilities are easy to integrate and maintain in the product. Competencies LLM and Applied ML Depth. Demonstrates strong experience with large language models, including fine-tuning, training data design, and model selection. Knows how to move core metrics on conversation quality and user outcomes, rather than chasing generic benchmarks. Can look at evals, transcripts, and metrics and quickly form grounded hypotheses for improvement. Ships clean, maintainable, quality code. No only do you know how transformers work, but you are also an engineer that has experience shipping production-level code and/or maintaining an AI system in production. Data Engineering Skills. Can set up production-level data pipelines for training new models, evals, analysis, etc. Scientific Mindset. You formulate hypotheses, and you are good at evaluating them (eg through experiments, data analysis, etc). You are consistently learning at the cutting edge, and you're able to leverage and communicate those learnings to make the entire company more successful. Ruthless Prioritizer. You are keenly aware of how to provide company value and to prioritize projects accordingly. Resistant to nerd-sniping. Quality Obsessive: Refuses to ship subpar work, continuously improving the codebase. Fast: Prioritizes speed by leveraging AI, breaking down complex tasks, shipping early, optimizing for learnings, iterating quickly, and avoiding over-engineering. Strong communicator. You can work collaboratively in a positive way. Sees others perspectives. Strong opinions, loosely held. Focused on user/business value, not ego. Great to have Personal or other experience with therapy or coaching Domain knowledge of psychology, neuroscience, therapy, or coaching. #J-18808-Ljbffr

A forward-looking AI company based in San Francisco is seeking talented researchers and engineers to pioneer enhancements in self-improving artificial intelligence. This role requires proficiency in Python and deep learning frameworks, along with expertise in post-training techniques. The ideal candidate thrives in an agile environment. This position is in-person, five days a week, allowing for direct collaboration with a world-class team. #J-18808-Ljbffr

A pioneering engineering company in San Francisco is seeking talented research engineers to develop innovative parametric CAD tools. You will work on tasks such as generating CAD models from text and creating vector representations of 3D models. Ideal candidates possess strong backgrounds in algorithms and deep learning, and the ability to innovate. This role offers autonomy and the chance to be part of a passionate and creative team. #J-18808-Ljbffr

A tech company in San Francisco is seeking a Staff Research Engineer to develop AI-powered generative video systems. You'll work closely with research and engineering teams to create scalable solutions and improve operations. Ideal candidates have significant experience in generative AI systems and strong collaboration skills. The role supports flexible working arrangements and offers a competitive salary package, alongside a range of benefits to promote well-being and family care. #J-18808-Ljbffr

A pioneering AI firm in San Francisco is seeking an experienced professional to drive scalable RL research and build innovative data generation pipelines. The role offers significant autonomy and the opportunity to work on cutting-edge projects that are validated in production. Candidates should have a Master's or PhD in Computer Science, expertise in core tooling like PyTorch, and familiarity with modern post-training techniques. Join as an early team member to enjoy a significant equity upside. #J-18808-Ljbffr

Applied Compute builds Specific Intelligence for enterprises, unlocking the knowledge inside a company to train custom models and deploy an in-house agent workforce. Today's state-of-the-art AI isn't one-size-fits-all-it's a tailored system that continuously learns from a company's processes, data, expertise, and goals. The same way companies compete today by having the best human workforce, the companies building for the future will compete by having the best agent workforce supporting their human bosses. We call this Specific Intelligence and we're already building them today. We are a small, talent-dense team of engineers, researchers, and operators who have built some of the most influential AI systems in the world, including reinforcement learning infrastructure at OpenAI and data foundations at Scale AI, with additional experience from Together, Two Sigma, and Watershed. We're backed with $80M from Benchmark, Sequoia, Lux, Hanabi, Neo, Elad Gil, Victor Lazarte, Omri Casspi, and others. We work in-person in San Francisco. The Role As a founding Research Engineer, you'll train frontier-scale models and adapt them into specialized experts for enterprises. You will design and run experiments at scale, developing novel methods for agentic training. You'll work closely with researchers to experiment with and invent new algorithms, and you'll collaborate with infrastructure engineers to post train LLMs on thousands of GPUs. We believe that research velocity is tied with having world class tooling; you'll build tools and observability for yourself and others, enabling deeper investigation into how models specialize during training. If you get excited by challenging systems and ML problems at scale, this role is for you. What You'll Do Post-train frontier scale large language models on enterprise tasks and environments Explore cutting edge RL techniques, co-designing algorithms and systems Partner with infrastructure engineers to scale training and inference efficiently across thousands of GPUs Build high-performance internal tools for probing, debugging, and analyzing training runs What We're Looking For Experience training or serving LLMs Experience building RL environments and evals for language models Proficiency in PyTorch, JAX, or similar ML frameworks, and experience with distributed training Strong experimental design skills Strong Candidates May Also Have Background in pre- or post-training Previous experience in high-performance computing environments or working with large-scale clusters Contributions to open-source ML research or infrastructure Demonstrated technical creativity through published research, OSS contributions, or side projects Logistics Location: This role is based in San Francisco, California. Benefits: Applied Compute offers generous health benefits, unlimited PTO, paid parental leave, lunches and dinners at the office, and relocation support as needed. We work in-person at a beautiful office in San Francisco's Design District. Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process with you. We encourage you to apply even if you do not believe you meet every single qualification. As set forth in Applied Compute's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time. Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo. We're an in-office company, driven by a shared commitment to excellence and velocity. Our values-customers are everything, relentless momentum, winner's mindset, and stronger together-shape how we work and grow as a team. About the Team The Research team at Decagon innovates on building the most advanced conversational AI agents for enterprise customers. Decagon's AI agents understand context, respond with genuine empathy, and solve complex problems with surgical precision. Our mission is to deliver magical support experiences - AI agents working alongside human agents to help users resolve their issues. About the Role On the Research team, you'll be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. You will design and implement state of the art methods for instruction tuning and information retrieval. We\'re looking for people with strong engineering skills, writing bug-free machine learning code, and building the science behind the algorithms that power our AI agents. Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges, builds elegant solutions that scale to millions of users, and creates automation that prevents problems before they happen. In this role, you will Develop models for customer support tasks that exceed the performance of closed source models Experiment with small open-source models to drive order of magnitude reductions in latency across channels Break down ambiguous research ideas into clear, iterative milestones and roadmaps. Your background looks something like this 3+ years of experience in AI/ML engineering or research. Proven track record of working on AI/ML projects from concept to production. Experience fine-tuning and deploying LLMs in production environments. Prior experience working with multi-modal models Benefits Medical, dental, and vision benefits Take what you need vacation policy Daily lunches, dinners and snacks in the office to keep you at your best Compensation $250K - $415K + Offers Equity #J-18808-Ljbffr

PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/**********. DO NOT APPLY BELOW. The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn PDFs, books, Google Docs, news articles, websites, and more into audio, so they can read faster, read more, and remember more. Speechify's products include its iOS app, Android app, Mac app, Chrome Extension, and Web App. Google named Speechify Chrome Extension of the Year and Apple named Speechify App of the Day. Today, nearly 200 people around the globe work in a 100% distributed setting. Our team includes frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, with backgrounds from top programs and companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, cares about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to customers for a diverse range of use cases Deploy and operate the core ML inference workloads for our AI Voices serving pipeline Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models Build tools to give visibility into bottlenecks and instability, and design and implement solutions to address the highest priority issues An Ideal Candidate Should Have Experience shipping Python-based services Experience being responsible for the successful operation of a critical production service Experience with public cloud environments, GCP preferred Experience with infrastructure as code, Docker, and containerized deployments Preferred: Experience deploying high-availability applications on Kubernetes Preferred: Experience deploying ML models to production What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives for people with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. #J-18808-Ljbffr

A leading AI research company in San Francisco seeks a talented architecture team member to enhance its flagship models. Ideal candidates will have a strong understanding of LLM architectures and experience with deep learning. The role offers a hybrid work model of 3 days in the office, alongside relocation assistance. This position presents an exciting opportunity to contribute to groundbreaking AI advancements. #J-18808-Ljbffr

A blockchain company in San Francisco is seeking a candidate to innovate the Tempo protocol and collaborate with industry experts. The ideal applicant will possess substantial experience in protocol research, particularly regarding consensus and scaling, as well as strong abilities in Solidity. This role emphasizes the design of new features while addressing privacy and efficiency, contributing to the evolution of payment solutions in the crypto space. #J-18808-Ljbffr

_corporate_fare_ Google _place_ Mountain View, CA, USA; Atlanta, GA, USA; +28 more; +27 more _bar_chart_ Intern & Apprentice _info_outline_ X Applications will be reviewed on a rolling basis and it's in the candidate's best interest to apply early. The anticipated application window is open until **February 27, 2026** , but may close earlier if all available projects are full. Applications submitted after the application window or once role is closed/projects are full will not be considered. Timing on when you can hear back will vary and can take upwards of 90+ days. If you haven't heard from us in three months about an application, we likely proceeded with other candidates for that particular role. However, our recruiters might reach out if we find a different potential match for your skills, interests, and experience. Participation in the internship program requires that you are located in the United States for the duration of the internship program. This internship is intended for students in their penultimate academic year, who are pursuing a PhD degree program in Computer Science or a related field. If you are in an earlier academic year we encourage you to apply to the Student Researcher openings. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program. To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the "Apply" button on this page and provide the required materials in the appropriate sections (PDFs preferred): 1. In the "Resume Section:" attach an updated CV or resume. + Please ensure your anticipated graduation date (in MM/YY) is listed on the resume. 2. In the "Education Section:" attach a current or recent unofficial or official transcript in English. + Under "Degree Status," select "Now attending" to upload a transcript. This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mountain View, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Bellevue, WA, USA; Chicago, IL, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Madison, WI, USA; New York, NY, USA; Palo Alto, CA, USA; Portland, OR, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA; Redmond, WA, USA; Redwood City, CA, USA; San Diego, CA, USA; Goleta, CA, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; San Jose, CA, USA; Santa Cruz, CA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA** . **Minimum qualifications:** + Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or related technical field. + Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas). **Preferred qualifications:** + Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term time. + Penultimate academic year or returning to a degree program after completion of the internship. + Experience as a researcher, including internships, full-time, or at a lab. + Experience contributing research communities or efforts, including publishing papers in major conferences or journals. + Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.). **About the job** Join us for a full-time, 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google, including Search, Maps, and Google Now, and is central to the success of Google Cloud and our planet-scale computing, storage, and networking infrastructure. Research Interns work closely with Engineers to discover, invent, and build at the largest scale. From creating experiments and prototyping implementations to designing architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and more. Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day. Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products. The US base salary range for this full-time position is $113,000-$150,000. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************************************ . **Responsibilities** + Develop and execute a research agenda. + Contribute to a productive and innovative team, including working with peers, managers, and partner teams. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Our commitment to equal opportunity means ensuring that every student and employee has access to the resources and support they need to thrive and succeed in a university environment and in their communities. Cal Poly complies with Title VI of the Civil Rights Act of 1964, Title IX of the Education Amendments of 1972, the Americans with Disabilities Act (ADA), Section 504 of the Rehabilitation Act, the California Equity in Higher Education Act, California's Proposition 209 (Art. I, Section 31 of the California Constitution), other applicable state and federal anti-discrimination laws, and CSU's Nondiscrimination Policy. We prohibit discriminatory preferential treatment, segregation based on race or any other protected status, and all forms of discrimination, harassment, and retaliation in all university programs, policies, and practices. Cal Poly is a diverse community of individuals who represent many perspectives, beliefs and identities, committed to fostering an inclusive, respectful, and intellectually vibrant environment. We cultivate a culture of open dialogue, mutual respect, and belonging to support educational excellence and student success. Through academic programs, student organizations and activities, faculty initiatives, and community partnerships, we encourage meaningful engagement with diverse perspectives. As a higher education institution, we are dedicated to advancing knowledge and empowering individuals to reach their full potential by prioritizing inclusive curriculum development, faculty and staff training, student mentorship, and comprehensive support programs. At Cal Poly, excellence is built on merit, talent, diversity, accessibility, and equal opportunity for all. How to Apply Interested candidates must attach (1) a cover letter explaining your background, interest in the project, and career goals following postdoctoral work,, (2) curriculum vitae, and (3) a statement of research experience and interests. These documents are not accepted in hard copy format. When completing the online faculty application, please be prepared to provide three professional references with names and email addresses. Official transcripts are required prior to appointment. Review of applications will begin January 12, 2026. Complete applications received after that date may be considered. Review of applications will continue until the position is filled. For questions, please contact Dr. Dena Grossenbacher (********************). Advertised: Dec 08 2025 Pacific Standard Time Applications close:

The Bailey College of Science and Mathematics at California Polytechnic State University, San Luis Obispo is seeking a Frost Postdoctoral Research Fellow in the Physical Activity and Public Health. The Postdoctoral Research Fellow will work with Sarah Keadle, PhD, MPH. The research focuses on developing and evaluating 1) mHealth interventions to reduce sedentary screen time and increase physical activity and 2) performance evaluation of wearable devices to evaluate accuracy, precision and comparability. In addition, the Frost Postdoctoral Research Fellow will help mentor undergraduate students, work with Center for Health Research staff and will have the opportunity to teach classes by separate assignment as a part-time lecturer. This position will begin Summer or Fall 2026 according to candidate's availability. The term of employment is one-year, with a second-year possible based on performance and funding. The annual salary for this position is anticipated to be $68,004, with full benefits, plus a travel allowance. This position is supplemented by separate assignment pay as a part-time lecturer for the teaching assignments. Specific responsibilities will include: Contribute to ongoing studies, including: mHealth interventions aimed at reducing sedentary screen time among adults (R01DK135488); a rigorous performance evaluation of wrist-worn algorithms used to estimate sedentary time, physical activity intensity, and step counts to inform global surveillance efforts; processing, analyzing, and interpreting device-based measures within ongoing Center for Health Research clinical trials. Propose and conduct independent research projects that advance the laboratory's work in device-based physical activity assessment, observational studies linking movement behaviors to health outcomes, and/or the development and optimization of mHealth interventions. Propose and write manuscripts based on the conducted research. Work with mentors in developing research project goals, including writing manuscripts and grant applications. Participate in professional development activities, including attending national conferences. Directly supervise research staff, including undergraduate students. Receive mentorship and training in effective teaching practices and teach at least 1 undergraduate course during the fellowship under the mentorship of experienced faculty (paid by additional assignment as a part-time lecturer). Required Qualifications Doctoral degree in kinesiology, public health or a closely related field. Desire to learn new skills and work in teams including students, researchers, and faculty. Excellent computer skills including Microsoft Word, Excel, PowerPoint, and statistical software such as R. Experience with python is preferred. Experience with writing peer-reviewed scientific articles. Ability to prioritize, plan, organize, and meet timelines. Ability to lead others in managing tasks; train and evaluate the performance of assigned personnel. Ability to establish and maintain cooperative and effective working relationship with others. Excellent verbal and written skills and the ability to interface with all levels of staff, university community, including students, faculty and staff, and the public. Ability to maintain regular and reliable attendance. About the Frost Postdoctoral Research Fellow Program The Frost Postdoctoral Research Fellowship program is designed to allow recent Ph.D. graduates gain valuable experience in both research and teaching. Frost Postdoctoral Research Fellows will have the time, space, and support to build an impactful line of research and gain experience in mentoring undergraduate students within research and teaching contexts. Frost Postdoctoral Research Fellows will be mentored by experienced faculty and have opportunities to engage in research and teaching in a vibrant, supportive scholarly community. Research Fellows will develop critical research skills as well as learn to mentor undergraduates and integrate research in undergraduate teaching. These experiences will be invaluable to postdoctoral candidates seeking to make progress toward research and teaching careers in academia. The program is part of a larger vision spurred by William and Linda Frost, whose $110 million commitment to the College of Science and Mathematics is supporting undergraduate research so that many more students will engage in meaningful research and have the same transformational experience of discovery Mr. Frost had as a student at Cal Poly. The Frost Postdoctoral Research Fellowship is a key component of a strategy to elevate our already highly-regarded undergraduate science teaching and research programs to further renown. The Frost Fund also supports equipment, facilities, scholarships, and student and faculty support for research. About the University Founded in 1901, Cal Poly is one of only five comprehensive polytechnic universities in the nation, with approximately 22,000 undergraduates, 120 postbaccalaureate, and 900 graduate students. In 2023, Cal Poly not only marked its 29th year in a row as the #1 public non-doctoral institution in the West but was designated for the first time as the #1 non-doctoral institution, private or public, in the West by U.S News & World Report. In 2023, Cal Poly was rated by Money Magazine as one of only 34 5-star universities in the country; it is the only California State University on this prestigious list, where it joins the California Institute of Technology, Stanford, and several University of California campuses. A primarily undergraduate university, Cal Poly offers academically focused students 66 baccalaureate degrees and 27 master's degrees. Operating on the semester calendar system starting Fall 2026, Cal Poly takes pride in its "Learn-by-Doing" approach to teaching and learning, which has characterized Cal Poly since its founding. One of the 23 campuses of the California State University system, Cal Poly has a statewide mandate as a polytechnic university. Cal Poly is one of the largest land-holding universities in the nation and uses all of its land holdings in active support of its educational programs. Cal Poly is located in historic San Luis Obispo, a city of 47,000, 12 miles from the Pacific Ocean and midway between San Francisco and Los Angeles on California's scenic Central Coast. With excellent public education resources, recreational facilities and an expanding dedication to the arts, the area is known for its scenic landscapes and extraordinarily temperate climate. Special Conditions The person holding this position is considered a 'mandated reporter' under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements set forth in CSU Executive Order 1083 as a condition of employment. Following a conditional offer of employment, a background check (including a criminal records check) must be completed satisfactorily before any candidate may start work with Cal Poly, San Luis Obispo. Failure to satisfactorily complete the background check may result in the withdrawal of the offer of employment. Note: Cal Poly cannot deny an applicant a position solely or in part due to a criminal conviction history until it has performed an individualized assessment and linked the relevant conviction history with specific job duties in the position being sought. Please note: Current employees who are offered positions on campus will be required to undergo a background check for any position where a background check is required by law or that Cal Poly has designated as sensitive. Sensitive positions are those requiring heightened scrutiny of individuals holding the position based on potential for harm to children, concerns for the safety and security of people, animals, or property, or heightened risk of financial loss to Cal Poly or individuals in the university community. For health and well-being, Cal Poly is a smoke & tobacco-free campus. The university is committed to promoting a healthy environment for all members of our community. In accordance with the California State University (CSU) Out-of-State Employment Policy, the CSU is a state entity whose business operations reside within the State of California and prohibits hiring employees to perform CSU related work outside of California. This position classification has been defined as "Exempt" and is not subject to the overtime provisions of the Fair Labor Standards Act (FLSA). Cal Poly, San Luis Obispo will not sponsor an H-1B for this position. Equal Opportunity and Excellence in Education and Employment This position is open and available to all regardless of race, sex, color, ethnicity, or national origin. Consistent with California law and federal civil rights laws, Cal Poly provides equal opportunity in education and employment without unlawful discrimination or preferential treatment based on race, sex, color, ethnicity, or national origin. Our commitment to equal opportunity means ensuring that every student and employee has access to the resources and support they need to thrive and succeed in a university environment and in their communities. Cal Poly complies with Title VI of the Civil Rights Act of 1964, Title IX of the Education Amendments of 1972, the Americans with Disabilities Act (ADA), Section 504 of the Rehabilitation Act, the California Equity in Higher Education Act, California's Proposition 209 (Art. I, Section 31 of the California Constitution), other applicable state and federal anti-discrimination laws, and CSU's Nondiscrimination Policy. We prohibit discriminatory preferential treatment, segregation based on race or any other protected status, and all forms of discrimination, harassment, and retaliation in all university programs, policies, and practices. Cal Poly is a diverse community of individuals who represent many perspectives, beliefs and identities, committed to fostering an inclusive, respectful, and intellectually vibrant environment. We cultivate a culture of open dialogue, mutual respect, and belonging to support educational excellence and student success. Through academic programs, student organizations and activities, faculty initiatives, and community partnerships, we encourage meaningful engagement with diverse perspectives. As a higher education institution, we are dedicated to advancing knowledge and empowering individuals to reach their full potential by prioritizing inclusive curriculum development, faculty and staff training, student mentorship, and comprehensive support programs. At Cal Poly, excellence is built on merit, talent, diversity, accessibility, and equal opportunity for all. How to Apply Interested candidates must attach (1) a cover letter, (2) curriculum vitae, and (3) a statement of research experience and interests. These documents are not accepted in hard copy format. When completing the online faculty application, please be prepared to provide three professional references with names and email addresses. Official transcripts are required prior to appointment. Review of applications will begin February 15, 2026. Complete applications received after that date may be considered. Review of applications will continue until the position is filled. For questions, please contact Dr. Sarah Keadle (*******************).