Baseball Operations Research & Development Intern

Join the San Francisco Giants as a Baseball Operations Research & Development Intern, where you will have the opportunity to contribute to innovative projects that enhance our team's performance. This internship will allow you to work closely with our experienced analysts and gain hands-on experience in data analysis, player evaluation, and operational strat…

As the Director of Research & Development Operations at Asana, you will play a pivotal role in leading our innovative research and development initiatives. You will oversee the operational strategies that drive our product development, ensuring that our teams are equipped to deliver high-quality, cutting-edge solutions that meet our customers' needs. Collaborating closely with cross-functional teams, you will streamline processes and implement best practices to enhance productivity and efficiency within the R&D department.

Pluralis Research is at the forefront of Protocol Learning—an innovative decentralized approach to training and deploying AI models that democratizes access to this technology for individuals, rather than just large corporations. By aggregating computing resources from numerous contributors, incentivizing participation, and ensuring no single entity can dominate the model's complete weights, we are forging a truly open and collaborative pathway to cutting-edge AI.Role OverviewWe are seeking a passionate Developer Relations Lead to serve as the crucial technical liaison between Pluralis's research initiatives and the broader machine learning and systems communities. In this role, you will transform complex, groundbreaking research (including distributed training, communication-efficient model parallelism, and fault-tolerant optimization) into clear, engaging, and accessible content for researchers, engineers, and innovators.This position is not merely a traditional marketing role. We are looking for an individual who can digest our research papers, grasp the underlying architecture, and convey these insights effectively through blog posts, conference presentations, or social media updates. You will shape our technical narrative and become the face of Pluralis's contributions within the community.

About the Role Anthropic is hiring a Research Operations Specialist for the Discovery team. This position supports research operations in either San Francisco, CA or New York City, NY. The role centers on improving research processes, streamlining workflows, and providing direct support to researchers. What You Will Do Enhance research operations by identifying and addressing workflow bottlenecks Support researchers with day-to-day operational needs Help maintain efficient, organized research practices What We Look For Strong analytical skills Experience or interest in research operations Commitment to effective, reliable processes This role offers the chance to contribute to Anthropic’s AI research by making the team’s work smoother and more effective.

Join Anthropic as a Research Operations Specialist focused on Economic Research. In this role, you will facilitate the smooth execution of research projects and support our team in analyzing and interpreting economic data. Your contributions will play a crucial part in driving our mission to create safe and beneficial AI systems.

Sieve is a 15-person AI research lab in San Francisco focused on video data. The team builds exabyte-scale video infrastructure and develops new approaches for video understanding, drawing from diverse data sources to create advanced datasets. With video now accounting for most internet traffic, Sieve aims to solve the challenge of delivering high-quality training data for applications in creativity, communication, gaming, AR/VR, and robotics. The company partners with leading AI labs and has achieved strong financial results, backed by Series A funding from Matrix Partners, Swift Ventures, Y Combinator, and AI Grant. Internship overview The Applied Research Engineering Intern will help build high-performance components and large-scale pipelines to advance video understanding at internet scale. This role involves tackling ambiguous research problems and turning them into practical solutions. Projects often cover computer vision, audio processing, and text processing. What you will do Develop and optimize models and APIs for video, audio, and text data Improve performance through pre- and post-processing, parallelism, pipelining, and inference optimization Occasionally fine-tune models for specific tasks Work through open-ended research challenges with a small, focused team Who succeeds here Comfortable working with machine learning models and APIs Skilled at optimizing systems for speed and accuracy Enjoys solving ambiguous technical problems across computer vision, audio, and text domains

Overview: Join Listen Labs as a Research Operations Analyst, where you will be pivotal in ensuring the integrity and effectiveness of our research studies. Your role will involve real-time monitoring of study performance, identifying potential problems early, and ensuring that our research processes remain on track.About Listen LabsListen Labs is an innovative AI-driven research platform dedicated to helping teams swiftly derive insights from customer interviews. Our technology accelerates the analysis of conversations, identifies key themes, and supports rapid, informed product development decisions.Why Join Us?Outstanding Team: Our founders are experienced entrepreneurs with a successful AI exit, bringing together talent from industry leaders such as Jane Street, Twitter, Stripe, and Goldman Sachs.Fast Growth: Our dynamic 40-member team is backed by Sequoia, achieving an impressive $14M run-rate in under a year. We prioritize quality craftsmanship and value ownership.Notable Success: We are experiencing rapid growth across various sectors, securing significant contracts with major enterprises including Google, Microsoft, and Nestlé.Exceptional Performance: Our highly differentiated product contributes to an industry-leading win rate.Market Validation: We continue to gain traction across all segments, with substantial agreements leading to swift expansions.Viral Product: Our interviews reach tens of thousands of viewers, driving organic growth and attracting attention from Fortune 500 companies.Your ResponsibilitiesServe as the primary oversight for all ongoing studies, maintaining a comprehensive understanding of their real-time status.Track recruitment progress, response rates, completion timelines, and quality indicators on a daily basis.Identify and escalate issues promptly when studies appear to deviate from expected parameters, providing clear context to relevant stakeholders.Conduct standardized quality assessments on incoming data, including completion and screen-through rates.Keep internal trackers and dashboards updated, ensuring the team has immediate access to study health information.

The San Francisco Museum of Modern Art (SFMOMA) stands as one of the foremost institutions dedicated to modern and contemporary art in the United States, serving as a vibrant cultural hub for the Bay Area. Our belief in the transformative power of art is at the core of our mission; it inspires and connects us daily, reinforcing our commitment to fostering connections that resonate with our values.Inclusive: We are dedicated to being a museum that amplifies diverse voices and encourages dialogue.Passionate: Our work with art transcends mere employment; it is a calling.Brave: We embrace our work with courage and a spirit of adventure, always eager to explore new perspectives.Empathic: We strive to operate as individuals rather than an institution.At SFMOMA, we invite the endlessly curious to explore, support, and engage with the art of our time. We believe that modern and contemporary art can shape our perceptions, influence our worldview, and celebrate the multitude of voices and perspectives that enrich our community. We aim to cultivate an environment that inspires joy, fosters belonging and purpose, where differences are embraced as strengths, and every individual is valued in their entirety.Schedule: This is a full-time internship requiring 35 hours per week, from Monday, June 15 to Friday, August 14, with at least three days of onsite work.Department Overview: The Visitor Experience (VX) department is essential in delivering a welcoming, visitor-focused experience for both local and visiting audiences. Comprising Visitor Experience, Group Sales, and Onsite Membership, this department supports all visitors and clients during operational and non-operational hours.Role Overview: As a Visitor Experience Research Intern, you will significantly contribute to our understanding of visitor needs, preferences, and behaviors. This role presents a unique opportunity to gain practical experience in conducting and evaluating research in a visitor-centric context. You will collaborate closely with the Visitor Experience team and project manager to gather, analyze, and interpret relevant data.

The Baseball Data Platform team at Major League Baseball is seeking a Senior Data Analyst to help us tell the story of baseball through data. In this role, you will utilize play-by-play and Statcast tracking data to support our customers, enhance data quality, and generate actionable insights. You will collaborate with top-tier software engineers, data scientists, and industry experts while working with one of the most comprehensive datasets in sports.Key ResponsibilitiesProactively identify and investigate potential data quality issues.Lead significant data initiatives aimed at achieving strategic research and development objectives, including enhancing scalability for data alerts and outlier resolution.Implement impactful changes based on internal operations data and logging in collaboration with our support team.Develop a deep understanding of the Baseball Data Platform, including schema, data lineage, and optimal usage patterns of critical tables (such as pitch-by-pitch data, tracking data, and weather data).Address inquiries from MLB clubs, broadcasters, and MLB leadership directly.Establish and uphold high standards for data documentation, code review, and statistical best practices within the R&D data team.Create optimized queries and statistical reports/models to detect trends and present findings to MLB and Club personnel.Design and produce insightful reports.Collaborate with Statcast engineering, product, data science, and content teams to innovate storytelling metrics.Manage user accounts, permissions, and security protocols across key systems, ensuring compliance with data security standards.Test and validate new data and metrics, contributing to their development.Serve as the primary resource for complex data challenges, assisting teammates with debugging inefficient queries and understanding nuanced data definitions.

About HandshakeHandshake stands at the forefront of the evolving AI economy, serving as a vital career network that connects over 20 million knowledge workers, 1,600 educational institutions, and 1 million employers, including all Fortune 50 companies. Our platform is trusted for career discovery, hiring, and skills development, facilitating everything from freelance AI training gigs to internships and full-time careers. Our unique value proposition has resulted in exceptional growth, with our annual recurring revenue tripling in 2025.Why you should join Handshake now:Play a pivotal role in shaping the careers of individuals in the AI economy, impacting your community and peers.Collaborate closely with leading AI labs, Fortune 500 partners, and top-tier educational institutions.Be part of a team guided by experts from renowned companies such as Scale AI, Meta, xAI, Notion, Coinbase, and Palantir.Contribute to building a rapidly expanding business with substantial revenue potential.About the RoleAs an AI Research Intern at Handshake during the summer of 2026, you will be integral to our research team, which specializes in developing data engines that drive the next generation of large language models. This internship will offer you the opportunity to engage in focused projects that could lead to publishable research contributions and immediate application within our production stack. The internship is set to commence between May and June 2026.Projects You Could TackleLLM Post-Training: Explore innovative RLHF/GRPO pipelines, enhance instruction-following capabilities, and refine reasoning-trace supervision.LLM Evaluation: Develop new multilingual and domain-specific benchmarks, conduct studies comparing automatic and human preferences, and perform robustness diagnostics.Data Efficiency: Implement active-learning loops, assess data value, generate synthetic data, and devise low-resource fine-tuning strategies.Each intern will own a defined research project, receiving mentorship from a senior scientist, with the goal of producing a manuscript suitable for archival or submission to a top-tier conference.

Major League Baseball seeks a Senior Data Analyst for its Baseball Data Platform team in San Francisco. This team blends baseball expertise with technology, working closely with play-by-play and Statcast tracking data. The group supports MLB clubs, broadcasters, and internal partners by ensuring data quality and delivering actionable insights. Role overview This position focuses on maintaining high standards for data quality, collaborating with engineers, data scientists, and industry experts. The Senior Data Analyst will address data issues, lead significant projects, and act as a key resource for both technical and non-technical stakeholders. Key responsibilities Identify and investigate data quality issues, both proactively and in response to reports. Lead major data projects to advance research and development, such as improving alerting systems and resolving outliers. Collaborate with the support team to implement process changes based on internal operations data. Develop deep expertise in the Baseball Data Platform, including schema, data lineage, and best practices for key tables like pitch-by-pitch, tracking, and weather data. Handle inquiries from MLB clubs, broadcasters, and leadership, providing direct support and solutions. Maintain high standards for data documentation, code review, and statistical practices within the R&D data team. Write optimized queries and statistical reports or models to uncover trends and share findings with MLB and Club staff. Produce clear, insightful reports and work closely with Statcast engineering, product, data science, and content teams to develop new storytelling metrics. Manage user accounts, permissions, and security protocols across core systems to ensure compliance with data security requirements. Test and validate new data sets and metrics, supporting their ongoing development. Serve as a resource for complex data questions, including query debugging, identifying obscure data points, and clarifying nuanced data definitions for teammates. Collaboration and impact This role involves frequent interaction with engineers, product managers, data scientists, and content teams. The Senior Data Analyst helps shape the way baseball data is used across the league, contributing to both operational improvements and new forms of baseball storytelling.

Company Overview: At Databricks, we are dedicated to empowering data teams to tackle some of the world’s most challenging issues, ranging from security threat detection to breakthroughs in cancer drug development. We achieve this by creating and operating the premier data and AI platform, allowing our clients to concentrate on the high-value challenges central to their missions. The Mosaic AI division equips organizations to develop AI models and systems utilizing their own data, utilizing technologies that span from fine-tuning large language models (LLMs) for specific enterprise domains to building complex AI systems that incorporate retrieval and agents. We believe that a company's AI models are as valuable as any other intellectual property and that high-quality AI models should be accessible to all. Job Summary: Our research team is focused on advancing the boundaries of “domain adaptation” — discovering how to create LLMs and AI systems that excel in specialized domains. We are investigating open research challenges across a variety of themes, including scaling and automating evaluation, fine-tuning with synthetic data, retrieval augmentation, and optimizing inference speed and efficiency. As a PhD GenAI Research Scientist Intern, you will collaborate with our research team on projects that aim to adapt LLMs and AI systems for enterprise settings. Your tasks may include: Enhancing, refining, and assessing methodologies from existing literature. Designing novel approaches for effective domain adaptation. Combining various methods to formulate innovative strategies for efficient post-training. Conducting evaluations of LLMs and AI systems.

Join Cloudflare as a Research Engineer Intern for the summer of 2026, where you'll have the opportunity to tackle cutting-edge challenges within a dynamic and innovative environment. This internship is designed for aspiring engineers looking to deepen their expertise while contributing to groundbreaking projects that enhance internet security and performance.

About the Internship Cloudflare is looking for a Procurement Strategy & Operations Intern to support projects across procurement, supply chain management, and operations. This hybrid role offers students a chance to work alongside experienced teams and contribute to ongoing process improvements. What You Will Do Work with cross-functional teams to strengthen procurement strategies Support efforts to streamline and improve operational processes Gain practical experience in procurement and supply chain within a technology company Location This internship follows a hybrid schedule.

About the TeamJoin the Fleet team at OpenAI, where we create essential components that empower innovative research across a spectrum from small-scale initiatives to cutting-edge advancements. Our mission is to accelerate the journey toward Artificial General Intelligence (AGI) by collaborating with diverse teams to enhance the development of groundbreaking capabilities.About the RoleAs OpenAI continues to expand its talented pool of researchers and engineers, we are looking for a dedicated and resourceful Software Engineer focused on enhancing the development experience for both our engineering and research teams.In this pivotal role, you will design and maintain systems that facilitate rapid development, testing, and deployment of new features, ensuring a seamless and efficient development cycle. You will be instrumental in shaping our vision for software development, overseeing the architecture of our continuous integration pipelines, testing frameworks, and the support structures for our build environments.Your expertise in Python, Rust, and C++ will be crucial as you strive to elevate our development processes, creating a state-of-the-art experience for our researchers. Your contribution will be vital in providing the necessary tools and metrics to support our fast-paced culture, ensuring a stable and scalable platform for growth while promoting a frictionless experience for OpenAI’s research efforts.This position is based in San Francisco, CA, following a hybrid work model of three days in the office each week, along with relocation assistance for new hires.You may excel in this role if you:Have experience supporting large-scale monorepo development and deploymentPossess strong programming skills in Python, particularly in large monoreposAre proficient in Docker and KubernetesHave a solid background in Continuous Integration/Continuous Deployment (CI/CD)

Join Paraform as an Internal Operations Specialist, where you will play a crucial role in enhancing our operational efficiency and streamlining processes. You will collaborate with various teams to implement strategies that support our growth and improve our internal workflows. If you are passionate about operational excellence and thrive in a dynamic environment, we want to hear from you!

The Baseball Data Platform team at Major League Baseball builds and maintains the core systems behind MLB statistics. These systems power everything from Statcast to ABS, supporting fans, broadcasters, stadiums, MLB Clubs, and the league. Nearly every data point in professional baseball connects back to this group’s work. Role overview This Associate Software Engineer position is based in San Francisco, California. The role centers on developing and enhancing the systems that deliver baseball data to millions of people worldwide. What you will do Work with engineers, product developers, and designers to build and improve applications and systems Contribute to products that serve a global audience of fans, teams, and partners Help shape the technology used throughout the sport Collaborate within a supportive, results-driven team Requirements Interest in advancing technology within baseball as a software engineer Enjoyment of teamwork and tackling complex problems with others Willingness to learn from and contribute to an experienced engineering group

About AlljoinedAt Alljoined, we are pioneering solutions to eliminate communication barriers between humans and technology by non-invasively interpreting brain activity. Through advanced deep learning techniques applied to extensive EEG datasets gathered from cost-effective hardware, we decode various stimuli, including images, emotions, and even thoughts. Initially focusing on business applications, our long-term vision includes creating a consumer-facing interface to enhance productivity, entertainment, and AI applications.Our dedicated team of researchers is expanding, and we are committed to developing a high-performance and accessible interface that significantly enhances individual lives and contributes positively to societal well-being.

Join Mariana Minerals as a Research and Development Technician, where you will play a vital role in our innovative projects aimed at enhancing mineral processing technologies. You will be responsible for conducting experiments, analyzing data, and collaborating with cross-functional teams to drive our R&D initiatives forward.

Location: San Francisco, CA – In office, with occasional flexibility for remote work as needed.Compensation: $100,000-$120,000, based on experience.About EpistemeAt Episteme, we are redefining research and development. Our mission is to empower researchers whose work seeks meaningful impact in the world. We provide essential financial, infrastructural, and operational support that enables scientists to concentrate on significant challenges that often fall outside conventional academic or corporate structures. By closely collaborating with researchers, we facilitate the transformation of innovative ideas from initial insights to practical applications. We believe that translating science into real-world solutions is an integral part of our mission, not merely an afterthought. When discoveries are ready, we assist in responsibly introducing them to the world, including through commercialization when appropriate.Joining Episteme means becoming part of a visionary organization that values clarity over complexity, ownership over passivity, and collaboration free from micromanagement. We embrace the inherent uncertainties of innovation, valuing intellectual honesty and a commitment to thoughtful execution. Our team comprises diverse professionals who are dedicated to rigor, impact, and accountability. Roles evolve based on contributions and trust rather than rigid job descriptions, allowing for rapid testing of ideas, explicit decision-making, and open sharing of learnings for continuous improvement.What We Look ForTo support our scientific ambitions, we seek a Research Operations Manager who will own and enhance the operational frameworks that ensure our research programs maintain clarity, momentum, and accountability. You will be tasked with ensuring that our initiatives progress smoothly under pressure, scale effectively without chaos, and do not rely on informal interventions or constant reminders.Working autonomously within your defined scope, you will make intentional trade-offs between speed, rigor, and available resources. As ambiguity increases, you will provide structure and alignment without introducing unnecessary bureaucracy.What You Will DoYou will lead the operational execution, ensuring that workflows progress with clarity, coordination, and follow-through. You will be responsible for making progress visible, maintaining reliable commitments, and fostering a culture of accountability.