Research Scientist - Member of Technical Staff

About UsOdyssey AI is at the forefront of artificial intelligence innovation, developing groundbreaking general-purpose world models that represent a new paradigm in multimodal intelligence. Our cutting-edge models, including the remarkable Odyssey-2 Pro, are unlocking new possibilities for consumer, enterprise, and intelligence applications.Your RoleWe seek…

Join Our Team at SimileAt Simile, we are revolutionizing decision-making in society by providing AI simulations that accurately model human behavior. Just as pilots and surgeons rely on simulations for training, we believe that businesses deserve the same rigor when making high-stakes decisions.Our groundbreaking work has led to the creation of the first AI simulation of society, featuring generative agents that reflect real human experiences. Backed by $100 million from top investors, including Index Ventures and renowned AI experts, we are on a mission to predict human behavior with unparalleled accuracy.The RoleAs an Applied Research Engineer and Member of Technical Staff (MTS), you will be integral in refining our models of human behavior. With a strong emphasis on scientific rigor, you will participate in the entire research cycle—from designing experiments to implementing them in production systems that influence real-world decisions.Your Responsibilities Will Include:Data Insight Extraction: Analyze extensive proprietary datasets, including unstructured interviews and behavioral data, to uncover meaningful insights.Hardware Proficiency: Develop and optimize algorithms for cutting-edge NVIDIA hardware, conducting experiments that inform our model training.Scientific Leadership: Design thorough evaluations that validate our behavioral simulations against industry standards.Pushing Boundaries: Engage with the latest research in simulation and AI, continuously enhancing our methodologies and documentation.

About SimileAt Simile, we believe in revolutionizing decision-making by simulating the complexities of society. Just as pilots and surgeons train in controlled environments, we aim to equip organizations with the ability to anticipate human behavior through advanced AI simulations. Our pioneering research has established a new frontier in AI-based modeling, allowing us to forecast human behavior across various scenarios and scales.With substantial backing of $100 million from prominent investors including Index Ventures and AI luminaries such as Andrej Karpathy and Fei-Fei Li, we are committed to pushing the boundaries of artificial intelligence.Join Our Infrastructure TeamThe Infrastructure team at Simile is crucial to our platform's success. We design and implement the foundational systems that enable our AI agents to function securely and efficiently on a large scale. We specialize in high-scale cloud networking and distributed systems, ensuring enterprise-grade privacy.Our Work is Organized Around Three Key Pillars:Cloud Foundation: Overseeing our multi-cloud environment (AWS/GCP) to ensure high availability and cost-efficiency through Infrastructure-as-Code.Enterprise Deployments: Creating streamlined pathways for VPC peering, PrivateLink, and BYOC (Bring Your Own Cloud) architectures tailored for our largest clients.Platform & Reliability: Developing CI/CD pipelines and observability stacks (including p99 latency tracking and SLOs) that empower our entire engineering organization to deliver safely and effectively.Role OverviewWe are on the lookout for a driven Infrastructure Engineer who is passionate about navigating the intricacies of modern deployment strategies. You will take charge of our infrastructure roadmap from conception through to operational execution, ensuring our platform remains resilient, compliant, and primed for global scalability.Key ResponsibilitiesArchitect Multi-Cloud Environments: Design and expand multi-region architectures across AWS and GCP, addressing global data residency and failover needs.Enhance Engineering Velocity: Collaborate with Product Engineering, Research, and Security teams to develop internal tools and paved pathways that accelerate development and empower engineering teams.

About xAIAt xAI, our vision is to develop AI systems that deeply comprehend the universe and assist humanity in its quest for understanding. Our team is a close-knit, highly driven group committed to engineering excellence. We welcome individuals who relish challenges and thrive on curiosity. Operating within a flat organizational structure, we expect all employees to be hands-on contributors to our mission. Proactive leadership is recognized, and a strong work ethic combined with exceptional prioritization skills is essential. Effective communication is crucial, as employees must be able to share knowledge clearly and precisely with colleagues.ROLE OVERVIEW:Join our Grok Voice Model team to engineer the leading voice AI technology. We aim to facilitate seamless, natural, low-latency spoken interactions that are expressive, multilingual, and reliable across devices and real-time applications. We manage the entire training pipeline, encompassing extensive data curation, high-quality audio processing, cutting-edge speech-language pre-training, and rigorous post-training to maximize quality, speed, and stability.Our aspiration is to make conversing with AI feel like engaging with the most charming, knowledgeable, and kind individual imaginable. We are in search of exceptionally intelligent, execution-focused engineers to help us achieve this goal.

xai is seeking a Technical Staff Member focused on Post-Training and Reinforcement Learning at its Palo Alto, CA location. This position centers on advancing AI technology through hands-on project work and collaboration. Role overview This role involves contributing to projects that explore and extend the capabilities of AI systems. The work emphasizes post-training techniques and reinforcement learning methods, supporting the ongoing development of advanced solutions. Collaboration Teamwork is central to this position. You will work closely with colleagues to share ideas, refine approaches, and help shape the next generation of AI systems at xai.

Simile develops AI simulations that capture complex societal dynamics by using generative agents modeled on real human behavior. The company aims to help organizations make more responsible decisions by offering realistic simulations, similar to how pilots or surgeons train before facing real-world situations. Simile is building a Foundation Model to predict human behavior in a variety of contexts and at different scales. The company is supported by $100 million in funding from investors including Index Ventures, Hanabi, A*, and Bain Capital Ventures. Role overview The Member of Technical Staff (Research) joins the Research team in Palo Alto. This position involves hands-on work throughout the lifecycle of Simile’s human behavior models: training, evaluation, deployment, and monitoring. The team bridges research and product, with a strong focus on experimental rigor and system reliability to support critical decision-making. Researchers are expected to take full ownership of their projects, from designing experiments to deploying models in production. The work has a direct impact on real-world applications. Key responsibilities Redesigning data schemas: Overhaul foundational data architecture by redefining schemas across multiple databases to strengthen system capabilities. Improving computational performance: Refactor algorithms in internal data pipelines, resolving bottlenecks to enable efficient, large-scale model training. Building and managing infrastructure: Design and operate model training infrastructure, write high-performance code for NVIDIA hardware, and ensure smooth data ingestion and workflow efficiency. Developing scientific evaluations: Create advanced evaluation tools that extend beyond standard benchmarks to verify model reliability and accuracy. Location This position is based in Palo Alto.

About AppLovinAppLovin develops innovative technologies that empower businesses of all sizes to connect with their target customers effectively. Our comprehensive software and AI solutions enable companies to reach, monetize, and expand their global audiences. To learn more about us, please visit: www.applovin.com.Our mission is supported by a diverse global team whose life experiences, backgrounds, and perspectives reflect those of our developers and customers worldwide. At AppLovin, we are intentional about fostering a supportive team culture, and we seek candidates who excel individually and uplift others.Recognized by Fortune as one of the Best Workplaces in the Bay Area, AppLovin has been a Certified Great Place to Work for four consecutive years (2021-2024). Discover more about our accolades HERE.About UsAt AppLovin, we are driving the future of product discovery and engagement through state-of-the-art machine learning. Recommender systems significantly influence the daily lives of billions—determining what we watch, read, play, and purchase. They not only shape cultural trends but also contribute to trillions of dollars in market value across advertising, commerce, and streaming, promoting economic growth and job creation globally, and this sector continues to expand at double-digit rates annually. The modern recommendation framework was established about a decade ago, yet we envision that the next generation of models will differ fundamentally. We are building a research team dedicated to shaping that future. The OpportunityWe are forming a premier academic-industrial hybrid research group to advance recommender systems. Unlike traditional academia, your contributions will not merely reside in research papers — they will be implemented in real-world products, utilized by millions, and validated on a large scale. This is your opportunity to push the boundaries of science and witness your ideas reshape how the world discovers content. What You’ll DoDrive foundational research to establish new recommendation models and paradigms.

About UsOdyssey is an innovative AI laboratory at the forefront of developing general-purpose world models. These advanced multimodal intelligence systems are set to revolutionize consumer, enterprise, and intelligence applications. With models like Odyssey-2 Pro, we are pioneering the next significant leap in AI technology.Position OverviewWe are in search of passionate engineers who excel in the art of building robust systems. You should possess the ability to write elegant, scalable machine learning code, with a strong emphasis on performance and an understanding of the underlying research. You are comfortable navigating the realms of modeling and systems, boldly tackling complex technical challenges while taking pride in constructing the infrastructure and tools that enable groundbreaking advancements.Your ResponsibilitiesDevelop and scale the training and inference systems that drive Odyssey’s general-purpose world models, encompassing large-scale distributed pipelines and real-time optimization.Collaborate closely with researchers to prototype novel architectures, enhance model performance, and transition concepts from research to production.Create high-performance data and computation systems for video generation and control, facilitating rapid iteration and effective resource utilization.Design tools, metrics, and visualizations that provide insights into model behavior and evolution.Work hand-in-hand with product engineers to incorporate Odyssey’s models into real-time, interactive user experiences that exemplify new general-purpose world models.Embrace a fast-paced iterative approach. As part of a tightly-knit team, your experiments will evolve into demos and ultimately into products.Contribute to shaping Odyssey’s engineering culture, which is pragmatic, research-oriented, and always focused on what is possible next.Your ProfileA staff-level or senior engineer experienced in large-scale machine learning systems, distributed training, performance optimization, or model deployment.Hands-on and technically adept: you thrive on writing code, optimizing processes, and enhancing system efficiency.Proven experience with data structures, algorithms, and coding practices that lead to high-performance outputs.

About xAIAt xAI, we are on a mission to develop advanced AI systems that enhance our understanding of the universe and help humanity achieve its knowledge goals. Our dedicated team is small yet highly driven, emphasizing engineering excellence. We value individuals who thrive on curiosity and are eager to tackle challenges head-on. With a flat organizational structure, we empower all employees to take initiative and contribute meaningfully to our mission. Exceptional work ethic, prioritization skills, and strong communication abilities are essential for success in our collaborative environment. About the RoleWe are in search of outstanding engineers eager to embark on an innovative project aimed at integrating Grok into every aspect of our Advertising Platform. We seek individuals with extensive experience in developing high-performance advertising products and systems at scale, encompassing bidding, auction, marketplace dynamics, ranking, prediction, and product functionalities. Your expertise will help us leverage xAI’s technology stack to revolutionize our advertising solutions.Your ResponsibilitiesUtilize state-of-the-art Grok models to enhance all facets of our advertising stack, including candidate selection, ranking, auctions, campaign optimization, creative development, and improving the advertiser experience.Take ownership of systems and products that drive significant revenue for the company.Who You AreYou possess 3+ years of industry experience in creating large-scale, high-throughput, AI-driven advertising solutions.Technical ProficienciesProficient in Python, Jax, and Rust.LocationOur engineering team is based in Palo Alto, CA. While we typically work from the office five days a week, we offer flexible work-from-home options when needed.Interview ProcessUpon submitting your application, our team will review your resume and documentation of your outstanding work. If your application meets our criteria...

Join SpaceX as a Member of Technical Staff, where you will play a crucial role in supporting government initiatives and projects that require top-secret clearance. Your expertise will contribute to the development of cutting-edge technologies that are transforming space exploration and enabling humanity's future in space.

Join xAI as a Member of the Technical Staff specializing in Inference Engineering. Our mission is to engineer cutting-edge AI systems that enhance humanity's understanding of the universe. We are a dynamic, compact team dedicated to excellence, where each member is encouraged to take initiative and contribute significantly to our objectives. The ideal candidate will thrive in a collaborative environment, showcasing their expertise in optimizing model inference and developing robust systems capable of serving billions of users. If you are passionate about pushing the boundaries of AI technology and enjoy tackling complex challenges, we want you on our team.

Join our innovative team at xai as a Member of Technical Staff specializing in Web Foundations. In this role, you will collaborate with cross-functional teams to develop and enhance our web infrastructure, ensuring high performance and scalability. You will have the opportunity to leverage cutting-edge technologies to build and maintain robust web applications that serve our global user base.

Join Our TeamAt Parallel, we are pioneers in web infrastructure, empowering leading industries—including sales, marketing, insurance, and coding—to create state-of-the-art AI agents with flexible, programmatic access to the web. We have successfully secured $130 million in funding from top-tier investors such as Kleiner Perkins, Index Ventures, and Khosla Ventures, allowing us to expand our mission.As a Member of Technical Staff specializing in Developer Integrations, you will play a crucial role in designing and building robust API integrations within the fast-paced AI landscape. Your expertise will facilitate seamless connections between our platform and various third-party AI tools, including developing custom nodes, plugins, or connectors that enhance functionality and enable novel workflows.

About AppLovinAppLovin specializes in creating innovative technologies that empower businesses of all sizes to connect with their ideal customers. Our comprehensive software and AI solutions enable businesses to effectively reach, monetize, and expand their global audiences. For more details, visit: www.applovin.com.To fulfill this mission, our diverse global team is comprised of individuals whose life experiences, backgrounds, and perspectives reflect those of our developers and customers worldwide. At AppLovin, we prioritize building a supportive team culture, seeking candidates who are exceptional in their own right and who uplift others.We are honored to be recognized by Fortune as one of the Best Workplaces in the Bay Area, and have earned the Certified Great Place to Work designation for the past four years (2021-2024). Explore more about our accolades HERE.We are a collective of research scientists and engineers pioneering advanced technology at the crossroads of machine learning and adtech.The essence of our work includes:Developing ad delivery systems that provide users with the most relevant products, enhancing business outcomes.Processing and managing tens of billions of data rows daily, handling one million requests every second.Integrating diverse data types such as tabular, text, image, and video to optimize ad delivery.Conducting large-scale A/B tests to evaluate performance.Why AppLovin?Our team has consistently demonstrated the ability to drive significant business impact through technology, developing one of the world's leading ad recommendation systems and contributing to AppLovin's approximately 25x business growth over the last two years. At AppLovin, the feedback loop for Research Scientists is remarkably swift. You can design a new model, implement an A/B test, and deploy it—all within days or weeks. What takes months or even years elsewhere happens here at the speed of your execution.Even as our organization has scaled, our momentum remains strong—we continue to deliver meaningful enhancements that drive results, and there remains vast potential for the right candidate to make an immediate impact and contribute to our ongoing growth.

About UsAt vinci4d, we are pioneering a revolutionary co-pilot for hardware designers, aiming to empower 9 million mechanical engineers to accelerate their design processes by a factor of 1000.Our innovative approach involves developing a geometry and physics-driven foundation model tailored for diverse part designs.We are proud to have secured initial funding from Khosla Ventures, propelling us forward in our mission.About YouYou are a passionate Computational Fluid Dynamicist skilled in developing flow solvers for intricate geometrical applications. Your expertise encompasses external flows over dynamic vehicles (aircraft, missiles, automobiles), as well as fluid movement through machinery such as ducts, turbo-machinery, refrigeration systems, and computer heat sinks. Terms like conjugate heat transfer, multi-physics applications, and complex geometries excite you.Your ResponsibilitiesDesign, develop, and deploy simulation codes for single and multi-physics configurations, emphasizing Conjugate Heat Transfer.Optimize code performance on contemporary architectures, including GPUs.Implement advanced linear and nonlinear solvers to reduce time to solution.Collaborate in strategizing, planning product roadmaps, and prioritizing development alongside early customers and design partners.Develop and launch critical product features.Engage in continuous learning while creating products that resonate with engineers, gaining insights into entrepreneurship.

SpaceX seeks a Technical Staff Member to join its government sector projects in Palo Alto, CA. This position focuses on designing, developing, and implementing technical solutions for government clients, with a strong emphasis on aerospace technology. The work directly supports SpaceX’s mission to advance multi-planetary life. Key responsibilities Develop and deliver technical solutions that meet government requirements Collaborate with a team to solve complex engineering problems Contribute expertise to projects that extend the frontiers of aerospace technology Location This role is based in Palo Alto, CA.

Mithril is building AI infrastructure to make GPU computing accessible for enterprises, AI startups, and research organizations. The company’s customers include LG AI Research, Saronic, and the Broad Institute. Mithril was founded by a former Google DeepMind research scientist and a Stanford CS PhD, and has raised $80 million in seed and Series A funding from Sequoia Capital, Lightspeed Venture Partners, and others. Platform revenue has grown more than sixfold in the past year. Fast Company recognized Mithril as the 8th Most Innovative Company in Artificial Intelligence for 2026. The team is transitioning from bare-metal operations to a cloud-native, multi-provider platform, introducing an auction and flexibility model. This is an opportunity to help shape the platform from its early stages. Role overview The Software Engineer - Technical Staff Member will work across three main areas: Consumption: Developer-facing product, billing, and API Platform: Orchestration and marketplace solutions Supply: Cloud provider integrations and capacity management Engineers at Mithril take on significant ownership, building features end-to-end that support critical customer workloads and drive revenue. The scope includes backend systems, marketplace logic, and customer interfaces. Architectural decisions here have a direct impact on Mithril’s growth and scalability. What makes this role unique This position blends deep systems work with product-facing challenges. Engineers contribute to the orchestration engine that manages GPU capacity across providers, as well as the interfaces customers use to reserve, bid, and utilize resources. The systems built in this role handle financial transactions, real workloads, and market mechanisms such as spot auctions, reservation pricing, and capacity allocation. For those interested in the mechanics of GPU infrastructure markets and building the technology behind them, this role offers direct involvement. Location This role is based in Palo Alto or the San Francisco Bay Area.

Join our innovative team at xai as a Technical Staff Member specializing in X Search. You will play a crucial role in developing cutting-edge search solutions that enhance user experience and drive our business forward. We are looking for passionate individuals who thrive in a collaborative environment and are eager to tackle challenging problems.

About xAIAt xAI, our mission is to develop AI systems that genuinely comprehend the universe and support humanity's quest for knowledge. We pride ourselves on having a compact, highly driven team dedicated to engineering excellence. Our environment is perfect for individuals who relish challenges and flourish through curiosity. We embrace a flat organizational structure where every employee is encouraged to be proactive and to directly contribute to our mission. Leadership opportunities are awarded to those who demonstrate initiative and consistently achieve outstanding results. Strong work ethic and effective prioritization skills are key attributes we value. Additionally, all team members must possess excellent communication skills to share insights and knowledge clearly and concisely with their colleagues.About the RoleWe are looking for talented Applied Engineers to join a pivotal project that serves around 600 million users monthly. This is a unique opportunity for professionals with an engineering or scientific background to leverage their expertise in recommendation systems, ranking algorithms, search technologies, and more. You will be at the crossroads of cutting-edge AI development and tangible real-world impact, enhancing our ability to connect users with relevant content, accounts, and experiences.What You'll DoDesign and architect innovative recommendation algorithms for diverse product surfacesUtilize xAI’s extensive infrastructure and AI tools to significantly enhance user experiencesDevelop data pipelines and training jobs that continuously adapt from product dataIterate and refine algorithms using real-time user feedback through experimentationEnsure the scalability and efficiency of machine learning systemsWho You AreFamiliarity with data infrastructure technologies such as Kafka, Clickhouse, and SparkProven experience in implementing recommender systems and/or deep learning applications at scaleProficient in one or more deep learning software frameworks, such as JAX or PyTorchExceptional candidates may have experience in writing CUDA kernels

About Us At vinci4d, we are revolutionizing the hardware design landscape with our cutting-edge AI assistant, aimed at empowering engineers to accelerate their design iterations by a staggering 1000 times.Our innovative foundation model, driven by geometry and physics, is tailored for each category of part design.We are on the lookout for passionate individuals who thrive on product development to enhance our Minimum Viable Product (MVP).Your ResponsibilitiesAs a pivotal member of our team, you will design and develop the essential pipelines and tools that transform our vision into reality. Your contributions will significantly expedite our development processes by facilitating smooth transitions from code development to deployment. Key responsibilities include:Enhancing product features for scalability and developing advanced APIs to support intricate engineering workflows.Establishing and integrating LLM or VLM infrastructure.Implementing an MLOps framework for training deep learning models using geometry and physics data.Collaborating with early customers and design partners to strategize and prioritize the development roadmap.Building and deploying critical product features.Gaining invaluable experience while creating products that resonate with engineers, and learning about the entrepreneurial journey.QualificationsA minimum of 6 years in developing and delivering features within the high-performance computing domain.Expertise in C++, Python, or any relevant language necessary for system setup, along with familiarity with tools such as gRPC, Protocol Buffers, Docker, Kubernetes, and Bazel.Experience with cloud computing for data generation, scraping, and assisting data science teams in model training with MLOps is a plus.CUDA experience is desirable but not mandatory.Frontend development experience is a bonus.Prior experience in a startup environment will be highly valued.You’ll Thrive in This Role If YouAre enthusiastic about entrepreneurship and the process of transforming ideas from concept to reality.