Senior Mechanical Engineer

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 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 Mechanize, we specialize in developing reinforcement learning (RL) environments that empower AI models to execute real-world tasks efficiently. Our mission is to drive the complete automation of the economy, providing innovative solutions to leading AI laboratories. Discover more about our work at mechanize.work.As a Senior Software Engineer at Mechanize, you will contribute to the creation of RL environments that are pivotal in the field of AI model training. Ideal candidates will have 2-5 years of software engineering experience with proficiency in Python programming. Previous experience in machine learning or AI is not a prerequisite.For insights on our interview process, visit: Interview Process at Mechanize.

At Mechanize, we are pioneering the development of Reinforcement Learning (RL) environments tailored to train AI models for real-world applications. Our ambition is to facilitate the complete automation of the economy, partnering with leading AI laboratories. Discover more at mechanize.work.As a Software Engineering Intern at Mechanize, you will play a pivotal role in assisting our team to develop these groundbreaking RL environments. If you have a solid command of Python programming and possess a keen intellect, we would love to hear from you.We are currently seeking interns for Winter 2026, Spring 2026, and Summer 2026.No prior experience in machine learning or AI is necessary.Curious about our interview process? Learn more here: https://www.mechanize.work/how-our-interview-process-works/

Join mechanize as a Senior Software Engineer, where you'll contribute to innovative software solutions that shape the future of technology. In this role, you will lead projects, mentor junior developers, and collaborate with cross-functional teams to deliver high-quality software products. Your expertise will drive architectural decisions and enhance our development processes.

At Mechanize, we are on a mission to revolutionize the economy through the automation of real-world tasks. We specialize in building reinforcement learning (RL) environments designed to enhance AI models, enabling them to tackle complex challenges. Our innovative solutions are trusted by leading AI laboratories. Discover more about our work at mechanize.work.As a Junior Software Engineer at Mechanize, you will play a key role in developing RL environments that cater to the needs of the top AI labs. This position is ideal for individuals who are nearing graduation or have 0-2 years of experience in software engineering, and possess proficiency in Python programming.Prior experience in machine learning or AI is not a requirement.Curious about our interview process? Learn more about it here.

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.

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.

Role overview AECOM is hiring a Senior Mechanical Engineer in San Francisco. This role leads project work and collaborates with teams across disciplines. The focus: designing, developing, and implementing mechanical systems that support efficiency and sustainability goals.

Join The Bot Company as a Mechanical EngineerAt The Bot Company, we are on a mission to create an innovative robot designed to enhance everyday life in homes around the world.Based in the vibrant city of San Francisco, our compact team of engineers, designers, and operators comes from esteemed organizations such as Tesla, Cruise, OpenAI, Google, and Pixar. With a proven track record of delivering products to hundreds of millions of users, we know how to craft exceptional products and experiences.Our streamlined team structure fosters quick decision-making and eliminates unnecessary bureaucracy. Every team member is a contributor with significant scope, ownership, and accountability, working collaboratively across multiple domains to drive rapid iteration and execution.Candidate ExpectationsIn all roles at The Bot Company, we seek candidates who display remarkable sharpness and the capacity to thrive in fast-paced, high-pressure environments. Candidates should demonstrate:Exceptional mental acuity: Quick thinkers who learn swiftly and can reason across diverse domains.Engineering curiosity: A natural inclination to explore and understand how systems function, even beyond one’s specialty.High performance mindset: The ability to excel amidst ambiguity and high demands.Role Overview: Mechanical EngineerAs a Mechanical Engineer, you will be responsible for designing the mechanical systems, structures, and mechanisms that bring our robots to life. This position is ideal for individuals with exceptional mechanical intuition, rapid prototyping skills, and a history of delivering reliable hardware at scale.

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

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.

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.

Join Crusoe as a Mechanical Engineer and play a pivotal role in designing innovative solutions that drive efficiency and sustainability in energy technology. In this position, you will collaborate with cross-functional teams to develop and optimize mechanical systems, ensuring peak performance and reliability.

Anthropic is looking for a Research Engineer focused on model evaluations. This position involves research and development to assess and strengthen the performance of AI models. Teams are based in San Francisco and New York City, and the role supports remote work with required travel. Key responsibilities Design and implement evaluations for Anthropic's AI models Collaborate with team members to enhance model performance Contribute to research that pushes the boundaries of AI systems Location Remote-friendly (travel required) San Francisco, CA New York City, NY

Join us at OpenAI as a Research Engineer, where your innovative ideas will shape the future of artificial intelligence.About the RoleIn this pivotal position, you will be instrumental in developing cutting-edge AI systems that tackle challenges previously deemed insurmountable. We are seeking individuals with exceptional engineering capabilities, particularly in designing and enhancing large-scale distributed machine learning systems, writing efficient machine learning code, and advancing the scientific foundations of our algorithms.The most remarkable outcomes in deep learning are increasingly achieved at scale, necessitating engineers who thrive in expansive distributed systems. Your engineering expertise will be vital to driving significant advancements in AI technology.Key Responsibilities:Demonstrate strong programming and coding proficiencyPossess experience in managing and optimizing large distributed systemsExpress enthusiasm for OpenAI's innovative research methodologiesPreferred Qualifications:Exhibit a thoughtful perspective on the societal impacts of AI technologyBring prior experience in developing high-performance implementations of deep learning algorithmsAbout OpenAIOpenAI is at the forefront of AI research and application, committed to ensuring that general-purpose artificial intelligence serves the greater good of humanity. We strive to extend the limits of AI capabilities while prioritizing safety and human-centric design in our products. Our mission is to embrace diverse perspectives and experiences that enrich our understanding of humanity in the pursuit of our goals.We are proud to be an equal opportunity employer, welcoming applicants from all backgrounds without discrimination. For more information, please refer to OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks will be conducted in accordance with applicable laws.