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Join our innovative team at Gridware as an Electrical Research Engineer, where you will play a crucial role in advancing our cutting-edge technology. In this position, you will be responsible for conducting research, developing new electrical systems, and optimizing current technologies to enhance our product offerings.
Gridware is a pioneering technology company based in San Francisco, specializing in smart grid solutions and energy management systems. We are committed to creating sustainable and efficient energy solutions that empower communities and businesses.
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Role Overview:Take ownership of the complete lifecycle for memory features—from initial research to final production. You will enhance models for extraction, updates, consolidation/forgetting, and conflict resolution. Transform customer challenges into actionable research hypotheses, implement and evaluate innovative ideas from academic papers, and collabora…
Join Gridware as a Senior Electrical Research Engineer, where you'll play a pivotal role in advancing innovative electrical solutions. We are looking for an expert who is passionate about research and development in electrical engineering. In this role, you'll collaborate with a dynamic team to design, analyze, and optimize electrical systems that will drive our technology forward.
Join gridware as a Senior Research Engineer in Solid Mechanics, where you will lead innovative projects focused on advancing solid mechanics technologies. In this pivotal role, you will collaborate with multidisciplinary teams to develop cutting-edge solutions that address real-world challenges.
At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging problems, from detecting security threats to advancing cancer drug development. We achieve this by offering the premier data and AI platform, allowing our customers to concentrate on their mission-critical challenges. The Mosaic AI organization assists companies in developing AI models and systems utilizing their own data, employing technologies that range from training large language models (LLMs) from the ground up to employing advanced retrieval methods for enhanced generation. We pride ourselves on pushing the boundaries of science and operationalizing our innovations. Mosaic AI believes that a company’s AI models hold intrinsic value, akin to any other core intellectual property, and that superior AI models should be accessible to all. Job Overview As a research engineer in the Scaling team, you will stay abreast of the latest advancements in deep learning and pioneer new methodologies that surpass the current state of the art. You will collaborate with a diverse team of researchers and engineers, sharing insights and expertise. Most importantly, you will be passionate about our customers, striving to ensure their success in implementing cutting-edge LLMs and AI systems by translating our scientific knowledge into practical applications. Your Impact Enhance performance through innovative optimization techniques, including kernel fusion, mixed precision, memory layout optimization, tiling strategies, and tensorization tailored for training-specific patterns. Design, implement, and optimize high-performance GPU kernels for training workloads, including attention mechanisms, custom layers, gradient computations, and activation functions, specifically for NVIDIA architectures. Create and implement distributed training frameworks for large language models, incorporating parallelism strategies (data, tensor, pipeline, ZeRO-based) and optimized communication patterns for gradient synchronization and collective operations. Profile, debug, and optimize comprehensive training workflows to pinpoint and resolve performance bottlenecks, utilizing memory optimization techniques such as activation checkpointing, gradient sharding, and mixed precision training.
Join Anthropic as a Research Engineer focusing on Economic Research. In this role, you will leverage your analytical skills to conduct in-depth economic analysis and contribute to innovative projects aimed at enhancing our understanding of economic models and their implications.
Center for AI Safety
The Center for AI Safety (CAIS) is at the forefront of research and advocacy dedicated to addressing the societal-scale challenges posed by artificial intelligence. Our mission is to mitigate the risks associated with AI through innovative technical research, initiatives to foster the field, and strategic policy engagement. Together with our sister organization, the Center for AI Safety Action Fund, we tackle some of the most pressing issues in AI today. In the role of Senior Research Engineer, you will immerse yourself in the dynamic intersection of pioneering machine learning research and dependable engineering practices. You will own research projects from inception to publication, working autonomously with guidance from an advisor. Your responsibilities include designing and conducting experiments on large language models, developing the necessary tools for large-scale model training and evaluation, and transforming findings into research publications. You will collaborate closely with CAIS researchers, as well as external academic and commercial partners, utilizing our compute cluster for extensive training and evaluation. Your work will cover critical areas such as AI honesty, robustness, transparency, and the investigation of trojan/backdoor behaviors, all aimed at reducing the real-world risks posed by advanced AI systems.
About the TeamJoin the innovative Post-Training team at OpenAI, where we focus on refining and elevating pre-trained models for deployment in ChatGPT, our API, and future products. Collaborating closely with various research and product teams, we conduct crucial research that prepares our models for real-world deployment to millions of users, ensuring they are safe, efficient, and reliable.About the RoleAs a Research Engineer / Scientist, you will spearhead the research and development of enhancements to our models. Our work intersects reinforcement learning and product development, aiming to create cutting-edge solutions.We seek passionate individuals with robust machine learning engineering skills and research experience, particularly with innovative and powerful models. The ideal candidate will be driven by a commitment to product-oriented research.This position is located in San Francisco, CA, and follows a hybrid work model requiring three days in the office each week. Relocation assistance is available for new employees.In this role, you will:Lead and execute a research agenda aimed at enhancing model capabilities and performance.Work collaboratively with research and product teams to empower customers to optimize their models.Develop robust evaluation frameworks to monitor and assess modeling advancements.Design, implement, test, and debug code across our research stack.You may excel in this role if you:Possess a deep understanding of machine learning and its applications.Have experience with relevant models and methodologies for evaluating model improvements.Are adept at navigating large ML codebases for debugging purposes.Thrive in a fast-paced and technically intricate environment.About OpenAIOpenAI is a pioneering AI research and deployment organization dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We are committed to pushing the boundaries of AI capabilities while prioritizing safety and human-centric values in our products. Our mission is to embrace diverse perspectives, voices, and experiences that represent the full spectrum of humanity, as we strive for a future where AI is a powerful ally for everyone.
About Our TeamJoin the forefront of AI innovation with the RL and Reasoning team at OpenAI. Our team is dedicated to advancing reinforcement learning research and has pioneered transformative projects, including o1 and o3. We are committed to pushing the limits of generative models while ensuring their scalable deployment.About the RoleAs a Research Engineer/Research Scientist at OpenAI, you will play a pivotal role in enhancing AI alignment and capabilities through state-of-the-art reinforcement learning techniques. Your contributions will be essential in training intelligent, aligned, and versatile agents that power various AI models.We seek individuals with a solid foundation in reinforcement learning research, agile coding skills, and a passion for rapid iteration.This position is located in San Francisco, CA, and follows a hybrid work model of three days in the office per week. We also provide relocation assistance for new hires.You may excel in this role if:You are enthusiastic about being at the cutting edge of RL and language model research.You take initiative, owning ideas and driving them to fruition.You value principled methodologies, conducting simple experiments in controlled environments to draw trustworthy conclusions.You thrive in a fast-paced, complex technical environment where rapid iteration is essential.You are adept at navigating extensive ML codebases to troubleshoot and enhance them.You possess a profound understanding of machine learning and its applications.About OpenAIOpenAI is a pioneering AI research and deployment organization committed to ensuring that general-purpose artificial intelligence serves the greater good for humanity. We strive to push the boundaries of AI system capabilities while prioritizing safe deployment through our innovative products. We recognize AI as a powerful tool that must be developed with safety and human-centric principles, embracing diverse perspectives to reflect the full spectrum of humanity.We are proud to be an equal opportunity employer, welcoming applicants from all backgrounds without discrimination based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or any other legally protected characteristic.
Join aiedu as a Senior Lead in Research & Evaluation, where you will drive impactful research initiatives that shape educational practices and policies. In this role, you will lead a team of researchers in designing and executing comprehensive evaluations that inform our strategic direction. Your expertise will be critical in analyzing data, generating insights, and communicating findings to stakeholders.
Pluralis Research
OverviewPluralis Research is at the forefront of innovation in Protocol Learning, specializing in the collaborative training of foundational models. Our approach ensures that no single participant ever has or can obtain a complete version of the model. This initiative aims to create community-driven, collectively owned frontier models that operate on self-sustaining economic principles.We are seeking experienced Senior or Staff Machine Learning Engineers with over 5 years of expertise in distributed systems and large-scale machine learning training. In this role, you will design and implement a groundbreaking substrate for training distributed ML models that function effectively over consumer-grade internet connections.
About AnthropicAt Anthropic, we are dedicated to developing AI systems that are safe, interpretable, and controllable. Our mission is to ensure that AI technology benefits not just our users, but society as a whole. We are a dynamic and rapidly expanding team of researchers, engineers, policy experts, and business leaders, all working collaboratively to create AI solutions that truly enhance human capability.About the RoleThe Research Tools team at Anthropic is at the forefront of AI safety and capability research, and we require outstanding software solutions to optimize our efforts. As a Senior Software Engineer on this team, you will be pivotal in creating the infrastructure and applications that empower our researchers to conduct complex experiments, iterate rapidly, and derive insights from cutting-edge AI systems.This role merges product development with full-stack engineering. You will collaborate closely with researchers and engineers to understand their workflows, identify roadblocks, and deliver swift solutions that enhance productivity. Whether you are developing interfaces for human feedback on model evaluations, creating platforms for orchestrating experiments, or crafting innovative visualization tools to interpret model behavior, your contributions will significantly advance our mission to build trustworthy AI systems.We seek an individual who thrives in ambiguous environments, possesses a high degree of autonomy, and can swiftly acquire domain knowledge to drive impactful projects from inception to completion.No prior machine learning or research experience is necessary.
Gridware
Join Gridware as a Mechanical Research Engineer, where your innovative spirit and engineering expertise will contribute to groundbreaking projects in the energy sector. You will be responsible for conducting research, developing prototypes, and collaborating with a team of skilled engineers to advance our technology solutions.
Join Our Innovative TeamThe Consumer Products Research team at OpenAI is on the cutting edge of applied research, dedicated to pioneering new methodologies and models that align with our ambitious vision for the future of computing. Our mission is to build Artificial General Intelligence (AGI) that serves the greater good of humanity.About This OpportunityAs a Senior Research Engineer/Scientist within our Consumer Products Research team, you'll collaborate with world-renowned machine learning researchers and top-tier design talent to explore and expand the boundaries of model capabilities.This position is located in San Francisco, CA, and operates on a hybrid work model, requiring 4 days in the office. Relocation assistance is available for qualified candidates.Key Responsibilities:Train and evaluate state-of-the-art multimodal models, focusing on areas pivotal to our vision for future devices.Innovate novel architectures that enhance model performance when scaling is not feasible.Transform emerging research capabilities into robust solutions that can be readily utilized in product development.Ideal Candidate Profile:Possess a solid research background in adapting transformers for environments with limited computational resources compared to standard GPUs.Have a passion for performance optimization and a willingness to collaborate with GPU kernel engineers (prior CUDA experience is not required).Conduct rigorous scientific research, relying on data-driven insights to expedite our experimental processes.Demonstrate experience in training models for language processing and perception tasks.About OpenAIOpenAI is a pioneering AI research and deployment organization committed to ensuring that general-purpose artificial intelligence is developed to benefit all of humanity. We challenge the limits of AI capabilities and strive to deploy them safely through our innovative products. Our approach emphasizes safety and human-centric design, ensuring that diverse perspectives and experiences are integral to our mission.As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees.
Gridware
Join our innovative team at Gridware as an Electrical Research Engineer, where you will play a crucial role in advancing our cutting-edge technology. In this position, you will be responsible for conducting research, developing new electrical systems, and optimizing current technologies to enhance our product offerings.
OpenAI's research infrastructure group creates and maintains the backbone systems for advanced machine learning model training. This team often goes beyond conventional training methods, developing new infrastructure to support novel research at scale. Their work closely connects systems engineering with research progress, making it possible to run experiments that would otherwise be too slow or complex. Role overview The Research Infrastructure Engineer for Training Systems designs and improves the platforms that power large-scale ML training. This role bridges research concepts and the practical systems that make large model training possible. The work has a direct impact on model release timelines and requires building systems that perform reliably in demanding, real-world scenarios. What you will do Build and maintain infrastructure for large-scale model training and experimentation Design APIs and interfaces to simplify complex training workflows and prevent misuse Enhance reliability, debuggability, and performance across training and data pipelines Troubleshoot issues involving Python, PyTorch, distributed systems, GPUs, networking, and storage Create tests, benchmarks, and diagnostic tools to catch regressions early Requirements Interest in building systems that support new training methods, not just optimizing existing ones Strong instincts in systems engineering, especially regarding performance, reliability, and clean abstractions Experience designing APIs and interfaces for researchers and engineers Ability to work across ML research code and production infrastructure Enjoys evidence-based debugging using profiles, traces, logs, tests, and reproducible cases
Cognition
Join our dynamic team at Cognition as a Research Engineer specializing in Infrastructure. In this role, you will be at the forefront of cutting-edge research, contributing to innovative solutions that shape the future of our infrastructure projects.Your responsibilities will include conducting thorough research, analyzing data, and collaborating with cross-functional teams to implement effective strategies. We are looking for an individual who is passionate about technology and infrastructure, eager to solve complex problems, and ready to drive impactful results.
About Our TeamJoin the Foundations Research team, where we tackle ambitious and innovative projects that could redefine the future of AI. Our mission is to enhance the science behind our training and scaling initiatives, focusing on pioneering frontier models. We are dedicated to advancing data utilization, scaling methodologies, optimization strategies, model architectures, and efficiency enhancements to accelerate our scientific breakthroughs.About the PositionWe are on the lookout for a dynamic technical research lead to spearhead our embeddings-focused retrieval initiatives. You will oversee a talented team of research scientists and engineers committed to developing foundational technologies that enable models to access and utilize the right information precisely when needed. This includes crafting innovative embedding training objectives, architecting scalable vector storage, and implementing adaptive indexing techniques.This pivotal role will contribute to various OpenAI products and internal research initiatives, offering opportunities for scientific publication and significant technical influence.This position is located in San Francisco, CA, where we embrace a hybrid work model, requiring three days in the office weekly, and we provide relocation assistance for new hires.Your ResponsibilitiesLead cutting-edge research on embedding models and retrieval systems optimized for grounding, relevance, and adaptive reasoning.Supervise a team of researchers and engineers in building an end-to-end infrastructure for training, evaluating, and integrating embeddings into advanced models.Drive advancements in dense, sparse, and hybrid representation techniques, metric learning, and retrieval systems.Work collaboratively with Pretraining, Inference, and other Research teams to seamlessly integrate retrieval throughout the model lifecycle.Contribute to OpenAI's ambitious vision of developing AI systems with robust memory and knowledge access capabilities rooted in learned representations.You Will Excel in This Role If You PossessA proven track record of leading high-performance teams of researchers or engineers within ML infrastructure or foundational research.In-depth technical knowledge in representation learning, embedding models, or vector retrieval systems.Familiarity with transformer-based large language models and their interaction with embedding spaces and objectives.Research experience in areas such as contrastive learning and retrieval-augmented generation.
About SunoAt Suno, we are revolutionizing the way original music is created and discovered. Our innovative platform features Suno Studio, a cutting-edge generative audio workstation, and Hooks, an exciting new method for creating and sharing captivating videos that bring music to life. Fueled by a leading music-creation model, our platform empowers individuals to turn their inspiration into music, making creativity accessible to all. With Suno, your ideas transform into sound, and every song is uniquely yours — allowing everyone to experience the joy of creation.Recognized as one of the fastest-growing AI startups globally, we are supported by prestigious investors including Menlo Ventures, Lightspeed Venture Partners, Matrix, NVentures, and Hallwood Media.Founded in 2023 by passionate Harvard alumni, Suno has already empowered over 100 million users to craft their original songs. In 2025, we successfully raised a $250 million Series C funding round to fuel our product innovation and accelerate our international expansion.About the RoleWe are seeking a dedicated Senior Qualitative UX Researcher to champion the voice of the user within Suno's diverse user base, particularly focusing on our power users and professional creators. In this role, you will delve into how musicians and serious creators engage with Suno, identifying what captivates them and what gaps need to be filled. You will collaborate closely with Product Managers, designers, and engineers, ensuring user feedback is integrated into product development from the ground up.As part of our agile teams, you will be responsible for planning, executing, and synthesizing research swiftly, aligning with the dynamic pace of our product organization. We value timely insights that can directly influence decision-making, so this opportunity is perfect for those who thrive in a high-ownership, fast-paced environment.Explore the song we created about this role: https://suno.com/s/6utW9leBXUGxAVqBWhat You’ll DoConduct comprehensive qualitative research — including interviews, usability tests, and diary studies — across mobile, web, and platform experiences.Create and distribute surveys that complement qualitative insights, providing necessary validation for research hypotheses.Work collaboratively with Product, Design, and Engineering teams to define research objectives, identify key learning goals, and quickly transform findings into actionable recommendations.Deliver research outcomes promptly to inform product development decisions.
Join fuku as an Applied Research Engineer in San Francisco, CA, where you will be at the forefront of AI video data research. As a crucial member of our team, your mission will involve building robust, high-performance frameworks and extensive pipelines to process and decode video data with exceptional accuracy. You will tackle complex research challenges, refine machine learning models and APIs, and deliver comprehensive solutions across computer vision, audio, and text processing domains. This role is designed for engineers who thrive in both research and production environments and are eager to spearhead the evolution of video understanding from research to deployment.
Strava, Inc.
About StravaStrava is the ultimate app for active individuals, boasting a community of over 180 million athletes across more than 185 countries. More than just a fitness tracker, Strava is a platform where people come together to achieve their goals, from forming new habits to breaking personal records. Whether you're into cycling, running, or any other sport, Strava is your go-to app. Join us and embark on your journey with Strava today.Our mission is straightforward: to inspire people to lead their most active lives. We believe in the transformative power of movement to connect and propel individuals forward.About This RoleThe Research & Insights team at Strava is dedicated to guiding user-centered decision-making that drives our business and product innovation. We convert user signals into strategic insights, validating opportunities and creating experiences that empower our users to thrive, ensuring they remain loyal members of the Strava community.We are seeking a Senior UX/Product Researcher to spearhead the comprehensive research program for User Lifecycle. The User Lifecycle team is responsible for the entire Strava membership experience, from the first app download to lifelong community engagement. Your role will involve collaborating with cross-functional teams to conduct impactful research that informs product strategy and ensures decisions are grounded in data-driven insights. You will report directly to the Director of Research and Insights.What You’ll Do:Collaborate with stakeholders and the research team to identify, prioritize, and lead research initiatives that significantly impact company and product strategy, user satisfaction, and overall business outcomes.Lead high-impact research projects while working closely with cross-functional partners, including Design, Product Management, Data Science, Engineering, and Marketing.Identify optimal methods for sharing research insights, establishing trust-based relationships with colleagues to foster collaboration and innovation. You will influence cross-functional partners to act on research findings by providing clear, actionable recommendations and relevant business context.Embrace a diversity of perspectives while maintaining a strong personal viewpoint that effectively cuts through complexity.
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