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Grants Research Associate Contractor - Higher Education Focus Hanover Research, Arlington VA Remote Opportunity#Remote #LI-Remote Hanover's Grants Researcher Contractors (GRCs) work alongside Content Directors and Grants Consultants to provide prospecting and related support services to Hanover's (primarily) higher education clients. As a part-time contractor, the GRC will be responsible for identifying public and private funding opportunities based on client need and assessing appropriate fit of highly technical funding programs. GRCs will also occasionally contribute to proposal narratives in the form of best practices research, literature reviews, and needs assessments. This position will report directly to a senior Research Consultant. Responsibilities Identify and select sources of funding that align with client projects; Manage tight deadlines to create prospecting reports and other deliverables on time; Demonstrate an understanding of clients' needs and the goals of their projects, both programmatic and research-related; Independently create client-ready deliverables with minimal oversight; Collaborate with Content Directors and Grants Consultants to refine project scopes; and Explore creative solutions for preparing content and delivering it to clients efficiently. Desired Skills and Attributes Experience with researching federal and foundation funding opportunities, where preferably the GRC applicant will be familiar with Grants.gov (particularly NSF/NIH/DOD programs) and grant-related databases such as Pivot or Candid; Experience writing and researching for an academic audience; Ability both to accept and to provide constructive feedback; Strong communication, fact-checking, writing, and editing skills in the English language; Excellent organizational skills and attention to detail; Ability to work quickly and independently with minimal guidance or oversight; Ability to work under pressure in a fast-paced environment; Demonstrable problem-solving skills and work ethic; Proven academic achievement; High comfort level with Microsoft Office applications, such as MS Word, MS Excel, and MSPower Point. Education Requirement A Bachelor's or Master's degree in an education- or writing-related discipline is preferred, though candidates with relevant experience who hold other degrees will be considered. Experience Requirement At least 2-4 years' experience in grant-related research; experience with pre-award and/or grant-related prospecting research is preferred. Compensation Hanover Research strives to create compensation that is competitive, equitable, and fair.Thecompensationrangefor this contracting opportunity at the company is $30.00 - $40.00 per hour. Please note this compensation range is contingent on the candidate's job-related knowledge, skills, and experience. Our rate is determined by the contracting opportunity and the market. About Hanover Research Founded in 2003, Hanover Research is a global research and analytics firm that delivers market intelligence through a unique, fixed-fee model to more than 1,000 clients. Headquartered in Arlington, Virginia, Hanover employs high-caliber market researchers, analysts, and account executives to provide a service that is revolutionary in its combination of flexibility and affordability. Hanover was named a Top 50 Market Research Firm by the American Marketing Association from 2015 to 2021.To learn more about Hanover Research, visit*********************** Hanover Values Business Building - We build our business quickly and intelligently and we help our clients do thesame Thought Leadership and Innovation - We strive constantly to deliver better information in a betterway Service - To our clients and our community, service is our guidingprinciple Leadership and Mentorship - Our talent is our greatest asset, and we hope to help our people be theirbest Firm Citizenship - We are optimists who believe there are endless possibilities for our company andourselves How to Apply If you are interested in the prospect of working for a dynamic, growing company, we encourage you to submit your resume as well as a writing sample. Hanover strives to be accessible to all users and job seekers. If you are a qualified individual with a disability and need assistance in accessing our website or completing a job application, please contact Hanover Research at or via information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. Hanover Research is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, compensation, training, promotion, transfer, leaves of absence, and termination.

Role Description Dropbox powers collaboration and cloud infrastructure for over 700 million registered users worldwide. We're building the next generation of scalable storage, distributed compute, large-scale content processing, and secure infrastructure, with AI/ML workloads top-of-mind. As a PhD Systems & AI/ML Research Intern, you'll work on meaningful infrastructure problems at the intersection of distributed systems, backend services, and AI/ML workloads. Supported by senior engineers, you'll own a project aligned with your research, that results in a working prototype with the goal of a submission for adoption internally and external publication. Come help us define and build the infra layer for our next-gen products. Responsibilities Execute a defined engineering/research project aligned with your research. Implement a prototype that addresses a concrete infrastructure or AI-systems challenge. Build and run benchmarks using realistic workloads to measure performance, reliability, or security improvements. Document the design and implementation, including assumptions, architecture, tradeoffs, and evaluation results. Deliver a final artifact that includes a working prototype, reproducible results, technical write-up, and internal presentation. Collaborate with mentors to refine the approach, validate results, and, if appropriate, prepare findings for internal adoption or external publication. Requirements PhD candidate in Computer Science or a related field graduating between Winter 2026 and Spring 2028. Proven experience in systems/infrastructure and/or AI/ML through research publications, significant projects, or internships where you built or tested advanced solutions. Strong coding skills (e.g., Python, Rust, Go, C++) plus an ability to quickly prototype and iterate on cutting-edge ideas. Curiosity and drive to explore novel systems methodologies and translate them into practical applications that solve practical needs. Excellent communication and collaboration skills, especially in interdisciplinary teams. Preferred Qualifications Prior systems publications, open-source contributions, or experience operating large-scale infrastructure Interest in translating research insights into product impact for real-world users Familiarity and passion for swiftly moving from idea to experiment, comfortable with ambiguous or evolving project goals Compensation US Pay Range$12,500-$12,500 USD

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: **************** Research Intern on Generative AI for Content Creation Position Summary Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie, game, and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game, and music production across entertainment studios worldwide. Responsibilities As a research intern, you will investigate and apply novel algorithms related to: The generation and editing of video, sound, and 3D visual geometry (including 3D human motion). The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution. Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts. Required Qualifications Master's degree in Computer Science, Electrical Engineering, Applied Mathematics, or related fields. Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing. Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch) and visualization (e.g., TensorBoard). Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, and ICML. Excellent communication and presentation skills. Preferred Qualifications Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship is $45.00 per hour. The individual will be paid hourly and eligible for overtime . All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation. Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at ******************* or by mail to: Sony Corporation of America, Human Resources Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for. We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: ***************** Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact ******************* before submitting any information. Right to Work (English/Spanish) E-Verify Participation (English/Spanish)

Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping America and the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research in the areas of U.S. politics and policy views; news and information; internet and technology; science and society; religion and public life; global attitudes; race and ethnicity; and U.S. social and demographic trends. Pew Research does not take policy positions. It is a subsidiary of The Pew Charitable Trusts. Pew Research Center's work is carried out by a staff of about 180. Position Summary: The summer undergraduate internship is a paid opportunity during the summer of 2026. Interns are expected to work a minimum of 30 hours/week and are paid $18.50/hour. This internship is available to undergraduate students with an interest in how public opinion polls and other surveys are designed. The Center's survey methodologists manage our American Trends Panel, a multi-mode, probability-based survey panel that is its primary source of survey data for U.S. public opinion research, as well as provide guidance for all of the Center's domestic public opinion research. The intern works directly with the methodology team in designing, conducting and archiving the Center's surveys. Interns are exposed to all aspects of the survey process within the Pew Research Center including questionnaire design, sampling, data collection, data management, survey weighting, statistical analysis, and quality control. Some typical tasks of our 2026 intern may include: Reviewing questions to make sure they make sense to respondents who are completing surveys online or hearing them over the phone Going through a web questionnaire as a respondent to make sure it was programmed correctly and without typos Documenting new procedures for public data release to improve data privacy and reduce disclosure risk Assisting with writing academic articles and/or research proposals related to the use of AI in surveys Note that the survey design intern will not have direct involvement with the Center's substantive research, such as reporting on the survey results. Instead, this internship focuses on how surveys are designed and maximizing data quality. Candidates who are primarily interested in analyzing and reporting on survey results should apply for openings with the U.S. Politics, Global Attitudes, Religion, Social and Demographic Trends, Internet and Technology, Science and Society, Race and Ethnicity, or News and Information teams. Pew Research Center is an office-based workplace, with all staff working in the Center's Washington, D.C., office three core days weekly (Tuesday, Wednesday and Thursday). Staff have the flexibility to work remotely up to two days per week. A modest relocation stipend is available for candidates who need it. Internship dates: June 1-Aug. 14, 2026 (with alternative dates of June 15-Aug. 28, 2026 also available) Education/Training/Experience College students who are pursuing a bachelor's or associate degree and have completed a minimum of two years (in other words, rising juniors and seniors). Interest in public opinion, polling and social science. Experience working with data and data analysis in SPSS, R, Stata, SAS or other statistical software. Preference will be given to applicants who have completed at least one course in statistics or research design. Application Procedure A complete application will include the following required items: A cover letter highlighting your skills and training related to public opinion research. Describe why you are interested in an internship with Pew Research Center's survey design team. In addition, please discuss your professional aspirations and how this internship would align with your career trajectory. Please be sure to highlight your experience and proficiency with programming languages. A resume, which should include a listing of relevant course work, and any data analysis software used. Applications that do not include a cover letter will not be considered complete. The deadline for applications is February 11, 2026 at 6:00 p.m. EST. Interviews will take place virtually in February and March, with the goal of all hiring decisions being made by the end of March 2026. EEO: Pew Research Center makes employment decisions without regard to age, sex, race, ethnicity, religion, disability, marital status, sexual orientation or gender identity, military/veteran status, or any other basis prohibited by applicable law. We encourage applications from candidates who represent a variety of backgrounds, perspectives, and skills.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. We're looking for inquisitive, collaborative UX Quantitative Research interns to bring statistical rigor to product decisions. Partnering with mentors across product, design, data, and engineering, you'll craft surveys, model attitudes alongside usage data, and translate complex findings into compelling narratives for our teams. Expect real projects, supportive teammates, and opportunities to shape Pinterest experiences that are impactful, inclusive, and meaningful for our Pinners. What you'll do: Influence and evolve our product roadmap to help us fulfill our mission - to bring everyone the inspiration to create a life they love - using data and exploratory analysis to understand user behavior and trends, and identify opportunities for product innovation. Use surveys to gather insights about Pinner, Merchant, Creator, or Advertiser sentiments and preferences using survey methodologies and statistical/modeling based approaches. Explore the intersection of user attitudes and behaviors by combining surveys and log analysis Work cross-functionally to build and communicate key insights. Collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest. What we're looking for: This position requires current enrollment in a school or education program in which the individual is working towards a PhD in statistics, psychology, sociology, applied sciences, computer science or related field Obtain PhD in statistics, psychology, sociology, applied sciences, computer science or related field by June 2027 Currently pursuing a PhD in statistics, psychology, sociology, applied sciences, computer science or related field. Experience with survey methodology, including experience developing surveys and analyzing survey data Demonstrated experience in descriptive, inferential, and multivariate statistics, and experimental design. Experience using Python, R, or SQL. Excellent communication skills and the ability to tell a complete narrative using data. Ability to connect data analysis to real business problems, in order to impact business performance. We offer 2 internship start dates: May 18, 2026 - August 7, 2026 June 15, 2026 - September 4, 2026 Relocation Statement: This position is remote and not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only The minimum and maximum salary for this position is $11,000 monthly. #LI-REMOTE #LI-FILS Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Genies is an avatar technology company powering the next era of interactive digital identity through AI companions. With the Avatar Framework and intuitive creation tools, Genies enables developers, talent, and creators to generate and deploy game-ready AI companions. The company's technology stack supports full customization, AI-generated fashion and props, and seamless integration of user-generated content (UGC). Backed by investors including Bob Iger, Silver Lake, BOND, and NEA, Genies' mission is to become the visual and interactive layer for the LLM-powered internet. About the Role: Genies is looking for a passionate Research Engineer Intern to join our core AI team at our Bay Area office in San Francisco, CA. You will solve fundamental technical challenges in creating socially-aware, autonomous, and creative AI characters and companions. Working closely with a dedicated team of engineers and researchers, you will bridge the gap between cutting-edge research and real-world product impact. What You'll Be Doing: Research, design, and implement state-of-the-art Generative AI models for speech generation, including Text-to-Speech (TTS) and Voice Clone. Investigate and apply novel architectures such as Flow Matching, or Autoregressive Transformers to improve audio fidelity and voice cloning capabilities. Develop techniques for disentangled representation learning to separate speaker identity from prosody and emotion, enabling highly controllable and expressive character voices. Optimize deep learning models for real-time inference, focusing on latency reduction and throughput improvement. What You Should Have: Currently pursuing a Master's or PhD degree in Computer Science, Machine Learning, Electrical Engineering, or a related quantitative field. Demonstrated experience with deep learning frameworks (e.g., PyTorch) and Python programming. Solid understanding of digital signal processing (DSP) fundamentals and audio synthesis concepts. Experience with at least one relevant area: Speech Synthesis, Voice Clone, or Generative Modeling. What We Prefer First-author publications in top-tier venues such as ICASSP, Interspeech, NeurIPS, ICML, or ICLR. Familiarity with model optimization techniques (quantization, distillation) and inference acceleration. Knowledge or experience integrating machine learning models into production environments. Previous internship or research experience in audio AI or related domains. How Genies will support you Genies is a well-funded, growing start-up that cares deeply about each of our employees' growth and success. Our roles and their responsibilities are created with a breadth of scope that introduces each employee to exciting new challenges and opportunities that a growing start-up encounters. The actual base pay is dependent upon a number of factors, including: professional background, training, transferable skills, work experience, education, location, business and product needs, and market demand. The base pay range is subject to change and may be modified in the future. Full-time employees may also be eligible for equity compensation, in addition to a robust health, wellness, and benefits package. Starting Salary Range: $45-$55 Here's why you'll love working at Genies: You'll work with a team that you'll be able to learn from and grow with, including support for your own professional development You'll be at the helm of your own career, shaping it with your own innovative contributions to a nascent team and product with flexible hours and a work from home policy You'll enjoy the culture and perks of a startup, with the stability of being well funded Comprehensive health insurance for you and your family (Anthem + Kaiser Options Available), Dental and Vision Insurance Competitive salaries and 401K program for all full time employees Flexible paid time off, sick time, and paid company holidays, in addition to paid parental leave, bereavement leave, and jury duty leave for full-time employees Health & wellness support through programs such as monthly wellness reimbursement Working in a brand new, bright, open-environment and fun office space - there's even a slide! Genies is an equal opportunity employer committed to promoting an inclusive work environment free of discrimination and harassment. We value diversity, inclusion, and aim to provide a sense of belonging for everyone.

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date. Our generative models learn the blueprint of life by modeling large-scale evolutionary data, enabling us to engineer and write biology in unprecedented ways. We are seeking a passionate Computational Research Intern to join moonshot projects at the intersection of bioinformatics and machine learning. This is a rare opportunity to tackle open-ended scientific and engineering challenges with direct potential for high-impact publications and real-world applications in synthetic biology and protein engineering. Responsibilities Design and implement computational approaches to advance cutting-edge research in bioinformatics and machine learning Analyze large-scale genomic and protein datasets to uncover new biological insights and capabilities Collaborate closely with scientists and engineers across machine learning, protein engineering, and biology teams Document and present research findings internally, with the potential to publish in leading journals and conferences Qualifications Enrolled in a BS, MS, or PhD program in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field Strong programming skills in Python and familiarity with scientific computing libraries (e.g., NumPy, pandas, Jupyter) Experience in one or more of the following: machine learning, large-scale data analysis, genomics, or protein bioinformatics Excellent problem-solving skills, scientific curiosity, and ability to work both independently and collaboratively Internship Details Typical duration: 12 weeks, with flexible start dates Hybrid: 2-3 days on-site per week in our Emeryville, CA headquarters Salary: $1,667 per week Opportunity to publish your work and make a lasting impact in computational biology and AI-driven protein design What We Offer at Profluent Work on moonshot projects at the frontier of AI and biology Mentorship from leading experts in bioinformatics, machine learning, and synthetic biology A dynamic, mission-driven environment with the resources of a fast-growing, well-funded startup Competitive internship compensation and benefits

IPinfo is a leading provider of IP address data, including geolocation, VPN and residential proxy detection, mobile carrier data and over 20 other context tags. Our API handles over 120 billion requests a month, and we also license our data for use in many products and services you might have used. We're a fast growing bootstrapped business with a global team of around 60 people, and offer data products including IP geolocation, IP to company, carrier detection, and VPN detection. Our customers include Cloudflare, T-Mobile, SpaceX, DemandBase, Clearbit, and many more. We also sponsor academic conferences such as ACM IMC and ACM CoNEXT to connect with fellow researchers. How We Work We have an ambitious team, spread all over the globe. We sync up on a monthly all-hands Zoom call, and most teams do a call together every 1-2 weeks. Everything else happens asynchronously, via Slack, GitHub, Linear, and Notion. That means you can pick the hours that work best for you, to allow you to be at your most productive. During the research internship you work within the research team to extract deep knowledge from our data, collaborate with fellow researchers on academic research papers, and discuss ideas at academic Internet measurement conferences. To thrive in this environment you'll need to have high levels of autonomy and ownership. You have to be resourceful and able to work effectively in a remote setup. Responsibilities We collect more than 75TB of Internet data every week, including BGP, DNS, ping and traceroute data from more than 1200 servers around the world. Our research team is at the forefront of analyzing and evaluating this data to ensure it finds its way into our producs - IP geolocation, VPN detection, our IP tags and more. During the research internship you will be working on a well-defined research/data analysis project which allows you to collaborate with the research and data teams at IPinfo. The goal of the internship is to gather novel insights, gain new knowledge in data analysis, processing, and Internet measurements, and present your results within the group. During your internship at IPinfo you will be a full member of the research team. Towards the end of your internship you will be evaluating the results and assess possible publication venues (academic conferences, journals, published report,…). Check out ************************** to find example research projects at IPinfo. Skills and Experience Currently pursuing a PhD in computer science, data science, statistics, or a related field Proficiency in programming languages such as Python or Go; data analysis using SQL, pandas, or R Excellent analytical skills with the ability to collect, organize, analyze, and disseminate information with attention to detail and accuracy Experience with data visualization tools and techniques Strong communication skills and the ability to translate data into actionable insights Commitment to continuous learning and improvement - curious, flexible, believing it can be done better Optionally publication track record in networking or security conferences (e.g., ACM IMC, ACM SIGCOMM, ACM CoNEXT) or journals (e.g., ACM SIGCOMM CCR, IEEE/ACM Transactions on Networking) What we offer Summer 2026 internship between May and October 2026 (minimum duration: 3 months) Opportunity to make measurable impact and operate with autonomy 100% remote team and work environment Flexible working hours Paid internship Interesting and challenging work Application deadline The application deadline for the 2026 summer research internship is January 31, 2026. Earlier applications are preferred.

Our company is committed to being trusted voices of light and truth reaching hundreds of millions of people worldwide. Research and Strategy Intern This is a paid internship providing up to 40 hours which can begin May 12, 2026, and extend through August 14, 2026. This is a part-in office (Salt Lake City, Utah) and part remote position. Boncom is an advertising and communications agency. We develop innovative and strategic campaigns both traditionally and in the digital realm. We are fortunate to work for great organizations that are cause-oriented and who strive to do good in the world. Our staff is comprised of exceptionally talented team members who bring these clients' meaningful messages to life. We are looking for a research and strategy intern to work within and provide support to the Research and Strategy Team. As an intern, you will work closely with various departments in the agency, provide compelling audience narratives and assist us in building effective strategies for our clients. This includes uncovering trends and insights, creative briefings, research, presentations and general smart thinking to turn cultural understanding and key insights into strategic ideas. As a Boncom Research & Strategy intern, this role will involve a variety of responsibilities to support our clients particularly in the areas of health, safety, and recreation. This person needs to have experience conducting both quantitative and qualitative research. They should exhibit key traits like curiosity, problem solving, resourcefulness, and clear communication. Key roles and responsibilities include: Support research analysis for health, safety, and recreation clients Support primary and secondary research efforts, including surveys, interviews, social listening, and desk research Assist in developing client briefs based on research findings Support web audits and content strategy including building personas Conduct social audits and aid in strategic recommendations Help compile annual reports for our clients Help draft and project manage RFPs Minimum Qualifications: Current student pursuing a bachelor's degree in advertising, communications, marketing, anthropology or similar field in progress (please note the full-time hours of this position) or recent graduate (up to one year) Ability to think critically and creatively Digitally connected and curious Inquisitive mind eager to learn and take on new challenges Ability to thrive in a collaborative team environment and support where needed Working experience of Word, Excel, PowerPoint, Keynote (others a plus) Excellent written and verbal communication skills A Few Cool Perks… Paid internship ($17/hour) College credit eligible Full-time experience (up to 40 hours per week) Mentored by highly skilled Advertising Agency professionals Part in-office (Salt Lake City, Utah) and part remote position Great creative environment with fun culture and great people Fully stocked kitchen (in office) When you apply be sure to include: Resume Cover letter Include a link to your portfolio (if you have one) on your resume We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Minority/female/disability PWDNET/veteran are encouraged to apply.

The Kwong Laboratory within the department of Translational Molecular Pathology seeks a Research Intern. The primary focus of the Research Intern will be on a project that identifies a new drug combination in bladder cancer, which is found to have strong synergy. The research intern will assist in experiments, including but not limited to cell culture, western blotting, and molecular cloning to gain high proficiency in specific bladder cancer protocols. All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations. *LEARNING OBJECTIVES* The Research Intern will be engaged in training for a career in cancer research. Their skills will be engaged in the following research activities to increase their knowledge of cancer research topics: - Collaborating with the mentor and other senior lab members to continue efforts of an ongoing research project. - Bi-monthly meetings with faculty mentor. - Learning the technical aspects of the research project and interpretation of experimental data. - Learning sufficient laboratory techniques to work independently and collaboratively to proficiently and constructively address research setbacks. *ELIGIBILITY REQUIREMENTS* Applicants must have a bachelor's degree or equivalent, recently obtained within one year. Previous research experience is required. *ADDITIONAL APPLICATION INFORMATION* Translational Molecular Pathology Department web site: **************************************************************************************************************************** *POSITION INFORMATION* Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements. This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. ************************************************************************************************

Welcome to Veradigm! Our Mission is to be the most trusted provider of innovative solutions that empower all stakeholders across the healthcare continuum to deliver world-class outcomes. Our Vision is a Connected Community of Health that spans continents and borders. With the largest community of clients in healthcare, Veradigm is able to deliver an integrated platform of clinical, financial, connectivity and information solutions to facilitate enhanced collaboration and exchange of critical patient information. Support a Team of Go-Getters Veradigm Life Science The Veradigm Network is well-positioned to address the unique needs of Life Sciences customers. By leveraging the Veradigm Network, research data and associated insights become both an output of care delivery, as well as additional knowledge to improve quality of care, a true virtuous cycle. Our portfolio of solutions provides insights using real-world data directly sourced from the Veradigm Network. These solutions can help Life Sciences customers discover timely, actionable real-world evidence to improve patient experience and outcomes, and demonstrate how their products can benefit appropriate patient populations. What you will contribute: Support full scale projects including conceptualizing, implementing, and delivering HEOR and RWE studies Participate in implementation of various statistical techniques on existing datasets Assist with conceptualizing and coding data improvements Performing ad hoc analyses Participate in an internal project slated for abstract or manuscript submission Performing additional duties as required by manager The ideal candidate will: Be currently enrolled or recently graduated from a PHD degree program in public health, economics, epidemiology, biostatistics, pharmacoepidemiology or related discipline Have experience working with healthcare data (preferred) Be able to work successfully in a fast-paced environment with various details and competing deadlines Be proficient in Microsoft Suite Intern program begins May 18th and ends August 7th. Compensation Range: $20-$30 Enhancing Lives and Building Careers Veradigm believes in empowering our associates with the tools and flexibility to bring the best version of themselves to work and to further their professional development. Together, we are In the Network. Interested in learning more? Take a look at our Culture, Benefits, Early Talent Program, and Additional Openings. We strongly advocate that our associates receive all CDC recommended vaccinations in prevention of COVID-19. Visa Sponsorship is not offered for this position. At Veradigm, our greatest strength comes from bringing together talented people with diverse perspectives to support the needs of healthcare providers, life science companies, health plans, and the patients they serve. The Veradigm Network is a dynamic, open community of solutions, external partners, and cutting-edge artificial intelligence technologies that provide advanced insights, technology, and data-driven solutions. Veradigm offers a comprehensive compensation and benefits package, including holidays, vacation, medical, dental, and vision insurance, company paid life insurance and retirement savings. Veradigm's policy is to provide equal employment opportunity and affirmative action in all of its employment practices without regard to race, color, religion, sex, national origin, ancestry, marital status, protected veteran status, age, individuals with disabilities, sexual orientation or gender identity or expression or any other legally protected category. Applicants for North American based positions with Veradigm must be legally authorized to work in the United States or Canada. Verification of employment eligibility will be required as a condition of hire. Veradigm is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse and inclusive workforce. From a "VEVRAA Federal Contractor" We request Priority Referral of Protected Veterans This is an official Veradigm Job posting. To avoid identity theft, please only consider applying to jobs posted on our official corporate site. Thank you for reviewing this Veradigm opportunity. Does this look like a great match for your skill set? If so, scroll on down and tell us more about yourself!

The Forensic Psychology Postdoctoral Fellowship at Eastern Louisiana Mental Health System is offered through the Forensic Neuropsychiatry division of the Tulane Department of Psychiatry and Behavioral Sciences. The goal of the fellowship is to enhance and broaden the fellow's forensic assessment skills. Under supervision, fellows will conduct forensic evaluations at an inpatient forensic hospital (Eastern Louisiana Mental Health System - ELMHS) and in private cases. Fellows will perform a wide variety of forensic mental health assessments with forensic patients, incarcerated individuals, as well as those in the community. A wide range of evaluations are requested at the ELMHS forensic state hospital and include: competency to stand trial (CST) evaluations, evaluations for malingering, psychodiagnostic clarification, intellectual and cognitive evaluations, and violence risk evaluations. Evaluees are justice-involved individuals who have been adjudicated not guilty by reason of insanity (NGRI) or deemed incompetent to stand trial by the court. Fellows will be responsible for selecting, administering, scoring, and interpreting psychological tests with the goal of writing high-quality integrated forensic reports. Additional forensic assessment opportunities are available through conducting private evaluations in person in the greater New Orleans area and as a remote evaluator. The scope of evaluation questions are broad and come from referrals from attorneys, courts, and medico-legal professionals. Typical forensic cases will encompass both criminal and civil areas, although the majority of referrals are for criminal evaluations. Referrals include competency to stand trial evaluations, violence risk assessments, mitigation/resentencing evaluations, and trauma and PTSD evaluations in both federal and state court. A large portion of case referrals are for criminal responsibility evaluations. Fellows will also have the opportunity to participate in administrative and clinical meetings, conduct forensic research, and when possible, supervise other trainees under the umbrella supervision of a licensed psychologist. Fellows will attend forensic training seminars and scheduled didactics, including landmark case seminars and expert witness seminars. The forensic fellow is responsible for leading the ACGME-required Forensic Journal Club/Research Seminar. Participation in the annual mock trial conducted jointly with the Tulane Law Clinic and the Tulane Forensic Psychiatry Fellowship is expected. Additionally, opportunities to observe a board-certified psychologist testify and receive supervision on report writing for court and discussion of expert witness skills is a frequent activity. REQUIRED EDUCATION AND EXPERIENCE: * Completion of a Psy.D. or Ph.D. in Clinical Psychology with a concentration in forensic psychology at an APA-accredited program by the start of the fellowship. * Completion of an APA-accredited internship with an emphasis on forensic psychology by the start of the fellowship. * Eligibility for state or provincial licensure or certification for the independent practice of psychology by the start of the fellowship. REQUIRED KNOWLEDGE, SKILLS, ABILITIES/COMPETENCIES TYPICALLY NEEDED TO PERFORM THIS JOB SUCCESSFULLY: 1. Ability to use and interpret forensic psychological assessment instruments and the ability to obtain relevant data through third-party data gathering and a comprehensive forensic interview. 2. Ability to integrate results and formulate interpretations consistent with data, relevant to the conclusions related to the legal question. 3. Excellent forensic report-writing skills, including the ability to write an accurate, comprehensive, and defensible integrated forensic report focused on the referral/psycholegal issue. 4. Experience in reviewing and summarizing case records. 5. Excellent time management, organizational, and self-management skills, including the ability to self-manage remote work. 6. Ability and willingness to travel/commute when required. 7. Excellent communication skills, flexibility, and the ability to work in high-stress situations. 8. Working knowledge of, and practice consistent with, the Specialty Guidelines for Forensic Psychologists and the APA's Ethical Principles and Code of Conduct for Psychologists. 9. Ability to initiate and manage forensic research projects and perform empirical literature searches. PREFERRED QUALIFICATIONS: 1. Strength in assessment, particularly knowledge and experience with administering and interpreting forensic assessment instruments. 2. Interest and ability to provide expert testimony in a clear, articulate manner, consistent with ethical and practice guidelines. 3. Eligibility for board certification in Forensic Psychology by the American Board of Professional Psychology (ABPP) at the conclusion of the fellowship. 4. Interest in conducting forensic research. Tulane University is an equal opportunity educator and employer committed to providing an education and employment environment free of unlawful discrimination, harassment, and retaliation. Legally protected demographic classifications (such as a person's race, color, religion, age, sex, national origin, shared ancestry, disability, genetics, veteran status, or any other characteristic protected by federal, state, or local laws) are not relied upon as an eligibility, selection or participation criteria for Tulane's employment or educational programs or activities. Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process. If you need assistance in completing an application or during any phase of the interview process, please contact the Office of Human Resources by phone at ************ or by email at *************.

Who We Are Supra is pioneering the future of information services in global markets. As an exciting, ambitious, and well-funded startup with unique technical capabilities, we aim to be a future leader in decentralized data. Our team includes professionals, academics, and advisors with experience from leading institutions such as Purdue University, University of Cambridge, University of Pennsylvania, Columbia University, and University of Oxford. Additionally, our industry experience includes prestigious companies like JPMorgan Chase & Co., Qualcomm, ConsenSys, and Binance. Based in Switzerland with a remote-first policy, our globally distributed team spans over 35 countries. We are dedicated to solving the Oracle Dilemma through innovative solutions in consensus mechanisms, real-time data services, decentralized finance (DeFi), and Layer 1 (L1) technologies. Trust, kindness, honesty, and a commitment to ethical, decentralized technologies are the cornerstones of our culture. What we're looking for Blockchains are an excellent solution for storing data; however, the main limitation is performance when storing and querying the blockchain state in persistent storage (database). The blockchain node stores the data (state) in specific data structures in the database. The most commonly used databases by popular blockchains are RocksDB, LevelDB, LMDB, or the flavor of these DBs. The most commonly used data structures to store states are Ethereum Merkle trees, Consensys Bonsai trees, Erigon approach, Verkle trees, Avax Firewood, etc. The person in this role would be required to study data structures for storing the MoveVM-based blockchain's current and archival state on the database. So the objective is to study data structures and the underlying storage layer, experimenting and benchmarking existing implementations such as Ethereum Merkle trees, Consensys bonsai trees, the Erigon approach, replacing Merkle trees with Verkle trees, other data structure-level innovations, and faster and more efficient access from the storage layer. Essentially, these tasks involve understanding the existing codebase, testing the existing codebase via mocks and drivers, integrating and testing the best-performing data structure and database with Supra Codebase, and even refactoring parts of the code when necessary. Are you the right person for this role? The ideal candidate for us has: Essential: Very good command over Rust programming. Knowledge and experience with Rust testing tools and testing methodologies. Very good with debugging. Desirable: Async programming/ tokio runtime in Rust Familiarity with Key Store DB technologies like RocksDB Knowledge of Ethereum and other popular blockchains Familiarity with data structures amenable for parallel execution Duration: >= 6 months based on mutual agreement What's In It For You Joining Supra means joining a fast-growing startup with a diverse and dynamic team. Every role is impactful, allowing you to engage in meaningful work that contributes to our success. You will enjoy the flexibility of a fully remote environment with adaptable working hours, enabling you to work from anywhere globally. Competitive Compensation: We offer competitive compensation packages aligned with market standards. Work-Life Balance: Eligible team members have access to flexible paid time off, sick leave, and other time-off options, adjusted in line with local regulations. National Holidays: We recognize national holidays specific to each team member's country and provide paid leave in accordance with local guidelines. Health Benefits: Comprehensive health coverage options, including medical, dental, and vision benefits, are available to full-time employees where applicable. Getting Started with Supra We believe in giving you the space to settle in. Your first month is about orientation and learning: Engage with your team to understand our business, vision, mission, and strategic goals. Enhance your skills to navigate the evolving DeFi landscape. Absorb our core values and establish connections with your colleagues through one-on-one meetings. Familiarize yourself with the tools and processes vital to our operations. Analyze our product offerings and contribute to discussions that shape our future. We're here to support your integration and ensure you have the resources you need! Looking Ahead Regular check-ins with your manager will help align your priorities with our team and company goals, setting you up for success. At Supra, you're not just joining a company but embarking on a journey to enhance blockchain technology with a team of exceptional individuals.

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday. Join Lambda as a Machine Learning Research Intern and help advance the frontiers of generative AI. You'll collaborate closely with world-class researchers and engineers, leveraging Lambda's compute to optimize model and system performance. Our interns work hands-on across two complementary tracks, Fundamental Research and Applied Research, depending on their interests and experience. What You'll Work On Foundation Models, Multi-Modal, Agents System benchmarking and performance optimization Track 1: Fundamental Research Research in foundation models for language, vision, life sciences and robotics. Multi-modal research, including building efficient data and evaluation toolkits. Publish findings in top-tier ML Research conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV/ECCV, ACL, SIGGRAPH), and/or as technical blogs, public datasets, benchmarks, and open-source tools. Track 2: Applied Research Maximize training and inference performance for large-scale AI systems. Systematic model and agent evaluation. Publish findings in top-tier ML system conferences (e.g. MLSys, OSDI, SOSP, NSDI), and/or as technical blogs, public dataset, benchmarks, and open-source tools. You BS, MS, or Ph.D. student in Computer Science or related field, focusing on Machine Learning. Demonstrated project experience or publications in relevant areas. Proficient in PyTorch or similar frameworks. Strong communication and collaboration skills. Nice to Have Contributions to open-source machine learning projects. Experience with foundation models, multi-modal, agentic systems. Experience with dataset creation, evaluation design, or system benchmarking. Experience optimizing model efficiency or scaling ML workloads. Visit Lambda's research page for more information about our work and opportunities: ******************************* Salary Range Information This is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, with 500+ employees, and growing fast Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available: ************************* We offer generous cash & equity compensation Health, dental, and vision coverage for you and your dependents Wellness and commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible paid time off plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will: - Play a key role in architecting the algorithms and models that will power our products - Train on a dedicated high-performance compute cluster specialized for deep learning research - Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions - Remain an active contributor to the research community by partnering with universities and publishing high impact papers Who we are:Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world's largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient's healthcare experience. Responsibilities Develop highly scalable classifiers and detectors that solve real-world problems Learn and understand a large body of research in deep learning and machine learning Participate in cutting-edge research for medical applications of computer vision Must Have Experience Experience with deep learning and convolutional networks Strong theoretical and empirical research background Fluency with a deep learning framework and Python Nice to Have Experience Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR Large scale machine learning experience working with terabytes of data Implemented custom operations/modules in a deep learning framework Imagination, ambition, and curiosity

Passionate people. Loyal clients. Leading solutions. With a rich culture of creative collaboration and professional growth, IDeaS' team members build successful careers with us. IDeaS is proud to be a global powerhouse of innovation and excellence; challenge and reward. No matter where we're working, our teams come together to create leading revenue management solutions that accelerate our clients' growth through revenue optimization. Now we just need you! IDeaS' Internship Program provides students with real world experiences working on high visibility projects and challenging assignments. Our program facilitates opportunities to explore their field of study and make connections. Interns are a valuable part of our team - they do a lot of important work here and occasionally have some fun. As an R&D Intern on the Research team, you will be working with a mentor from our Advanced Analytics Team on new product development. The analytics team combines members from our research, software development and testing departments in a small, fast, and adaptive team. You will help develop and deliver scientific and pragmatic solutions covering a wide range of revenue science topics including forecasting, pricing and optimization for emerging needs in the rapidly changing world. We have exciting opportunities to work with our experts in the field of applying generative AI and machine learning techniques to existing revenue management problems. Projects typically involve many opportunities for research, data exploration, solution prototyping, software development and testing. What you'll be doing... Preparing and analyzing data; identifying opportunities and problems; designing solutions and implementing those solutions Communicating and presenting work to various audiences to explain functionality and/or benefit Producing required technical documentation What you'll bring to us… Enrolled in Bachelors, Masters, or Ph.D. program in Applied Mathematics, Computer Science, Operations Research, Systems Engineering, Statistics, Data Science, Physics, Mathematics or a related quantitative field As part of Ph.D. program, experience conducting research is preferred Previous work in GenAI and machine learning is preferred Interest in revenue science, general forecasting and estimation concepts Excellent ability to identify and proactively solve problems (data modeling) Comfortable with one or more programming languages (Java, Python or SAS) Strong written, verbal, and interpersonal communications skills Programming: Proficiency in Python (primary), with working knowledge of SQL and RESTful APIs AI / Machine Learning: Familiarity with large language models (LLMs), prompt engineering, RAG, and foundational ML concepts Data Handling: Strong SQL querying skills, experience with Pandas for data manipulation, and ability to perform basic analytical tasks Nice to Have… Hands-on experience with LangChain, LangGraph, or similar agentic AI frameworks Understanding of hospitality and revenue management principles Background in time-series forecasting or demand planning Familiarity with dashboarding and visualization tools (e.g., Streamlit, Plotly, Dash) We Support Who You Are…. As a global company, we strive to create an inclusive environment where diverse perspectives spark innovation and meet the challenges of an evolving world. Whether you're launching a new career or expanding your current one, IDeaS is a company where you can balance great work with all other aspects of your life. At IDeaS, we also aspire to live our values each day by being Accountable, Curious, Passionate and Authentic. And we continue our quest to build a more inclusive environment that attracts, represents and provides a place for diverse ideas, unique perspectives, and authentic voices. Additional Information: To qualify, applicants must be legally authorized to work in the United States , and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights. Equivalent combination of education, training, and relevant experience may be considered in place of the education requirement stated above. Resumes may be considered in the order they are received. IDeaS/SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, IDeaS/SAS may obtain nationality or citizenship information from applicants for employment. IDeaS/SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process. #IDeaS #LI-Hybrid

About Stack: Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands. Intern Program: We are seeking the best and brightest interns that are eager to contribute to transformative AI solutions. As an early-stage start up, we expect our interns to be an integral part of the team while gaining collaboration opportunities with industry leaders to grow your career and research. We welcome students who are enrolled in university, pursuing a doctorate degree and are currently located in the United States. Our 2026 Summer internship will be at least 12 weeks in duration (note: we may have flexibility to continue into the fall semester). We offer competitive pay and support sponsorship. About The Team: Our Autonomy team brings together experts in artificial intelligence, perception, machine learning, decision-making, and controls to drive the most visible and high-impact initiatives behind our autonomous vehicle product. As an intern, you'll dive into cutting-edge research challenges and contribute to breakthroughs that directly shape the future of our technology. Potential internship research areas could be... Autolabeling 3D perception/tracking/SLAM Long range perception Automatic mapping Prediction Deep decision making Deep world building Minimum Qualifications: Currently enrolled in a PhD program in a relevant field (3+ years into program preferred) Strong programming skills in Python or C++ Experience with ML frameworks such as PyTorch Strong foundation in Computer Vision, Machine Learning, Simulation, Reinforcement Learning Ability to develop, train, and validate AI/CV/ML models Experience in SOTA deep learning techniques, e.g. multi-modal foundational models Experience working and communicating cross functionally in a team environment Preferred Qualifications: Track record of research excellence demonstrated by grants, fellowships, patents, or publications at top conferences such as CVPR, ICCV, ICRA, IROS, etc. Strong track-record of published research Strong programming experience using python and pytorch Prior software engineering or research experience in an internship, work experience, or widely used contributions in open source repositories (e.g. GitHub) We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity. Check out our Privacy Policy. Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV's ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate's residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate's residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate's application.

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. * Note: This position requires presence in our San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday. Join Lambda as a Machine Learning Research Intern and help advance the frontiers of generative AI. You'll collaborate closely with world-class researchers and engineers, leveraging Lambda's compute to optimize model and system performance. Our interns work hands-on across two complementary tracks, Fundamental Research and Applied Research, depending on their interests and experience. What You'll Work On * Foundation Models, Multi-Modal, Agents * System benchmarking and performance optimization Track 1: Fundamental Research * Research in foundation models for language, vision, life sciences and robotics. * Multi-modal research, including building efficient data and evaluation toolkits. * Publish findings in top-tier ML Research conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV/ECCV, ACL, SIGGRAPH), and/or as technical blogs, public datasets, benchmarks, and open-source tools. Track 2: Applied Research * Maximize training and inference performance for large-scale AI systems. * Systematic model and agent evaluation. * Publish findings in top-tier ML system conferences (e.g. MLSys, OSDI, SOSP, NSDI), and/or as technical blogs, public dataset, benchmarks, and open-source tools. You * BS, MS, or Ph.D. student in Computer Science or related field, focusing on Machine Learning. * Demonstrated project experience or publications in relevant areas. * Proficient in PyTorch or similar frameworks. * Strong communication and collaboration skills. Nice to Have * Contributions to open-source machine learning projects. * Experience with foundation models, multi-modal, agentic systems. * Experience with dataset creation, evaluation design, or system benchmarking. * Experience optimizing model efficiency or scaling ML workloads. Visit Lambda's research page for more information about our work and opportunities: ******************************* Salary Range Information This is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda * Founded in 2012, with 500+ employees, and growing fast * Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove * We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG * Our values are publicly available: ************************* * We offer generous cash & equity compensation * Health, dental, and vision coverage for you and your dependents * Wellness and commuter stipends for select roles * 401k Plan with 2% company match (USA employees) * Flexible paid time off plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Organizational Information: Who We Are Disability:IN is the leading nonprofit resource for business disability inclusion worldwide. Our network of 550 corporations expands opportunities for people with disabilities across enterprises. Our organization and 18 affiliates raise a collective voice of positive change for people with disabilities in business. What We Do Disability:IN promotes disability inclusion by heightening awareness, advising corporations, and sharing proven strategies for including people with disabilities in the workplace, supply chain, and marketplace. We expand opportunities for people with disabilities by helping companies invigorate their disability initiatives, explore best practices, incorporate culture changes, and realize positive business outcomes. Position Summary: The Research Intern will support the development and execution of research projects that advance disability inclusion in business. This role provides an opportunity to collaborate with internal and external stakeholders, analyze data, and contribute to reports and resources that inform corporate best practices. The intern will work closely with the Research and Policy team to manage both short- and long-term projects aligned with Disability:IN's mission. Essential Duties and Responsibilities: Assist in collecting, cleaning, and analyzing data from surveys, reports, and external sources. Conduct literature reviews and summarize findings to support research initiatives. Help prepare research briefs, presentations, and reports for internal and external audiences. Coordinate with internal teams to ensure alignment on research priorities and deliverables. Draft summaries for research-related projects. Complete other duties as assigned that contribute to the overall effectiveness and success of the Research and Policy team. Knowledge, Skills, and Abilities: Familiarity with data analysis tools (Excel, SPSS, or similar) and survey platforms is a plus. Strong written and verbal communication skills. Ability to prioritize and multitask, with attention to detail and capacity to meet deadlines. Outstanding organizational skills and ability to work independently. Interest in disability inclusion and commitment to Disability:IN's mission. Workplace Competencies: An interest in, passion for, and commitment to Disability:IN's core mission. A personable and professional demeanor, with strong interpersonal skills and the ability to interact and communicate effectively with Disability:IN's constituents. A commitment to demonstrating a high level of truthfulness, integrity, reliability, and honesty with work time and commitments. Driven, self-motivated, and willing to take initiative, with a willingness to pitch in when and where needed. Must be a team player and collaborate respectfully and inclusively with others across the organization. Work Schedule, Location, and Travel Requirements Disability:IN is a fully remote organization; employees are expected to operate independently from a home office May require some domestic travel 1-2 times a year for 3-5 days at a time Internship scheduled for January 2026 - July 2026 Compensation: $20/hr for up to 20 hours per week. If you need assistance completing this application due to a disability, please contact us at Jobs@disability IN.org to request accommodations or an alternative application process. Disability:IN is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Persons with disabilities are strongly encouraged to apply.