Machine Learning Infrastructure Engineer at Character | Redwood City, CA

About the RoleWe are in search of experienced Machine Learning Infrastructure Engineers who excel at designing, constructing, and maintaining robust training and serving infrastructures for machine learning research initiatives.Key ResponsibilitiesDeliver comprehensive infrastructure support for our machine learning research and product development.Develop t…

Join Team CATHEXIS, where we transform the government contracting landscape through swift responses, extensive expertise, and innovative problem-solving. Our foundational strengths lie in superior program and project management, data analytics, and audit services—all anchored by our commitment to operational excellence.We recognize and respect the hard work you’ve put into your career, and we strive to make each day better than the last. At CATHEXIS, we embrace an all-in mindset, collaboratively fostering an environment that upholds our shared values while supporting individual aspirations. Our core values include Respect, Engagement, Customer Service, Integrity, Teamwork, and Excellence. We believe that success flourishes when we listen empathetically, uphold ethical standards, and create a fun, rewarding environment where everyone’s strengths are celebrated.We are seeking a passionate Data Scientist / Machine Learning Engineer to enrich our team. In this role, you will collaborate directly with data scientists, software engineers, and subject matter experts to define new analytical capabilities that empower our federal clients in their decision-making and digital transformation journeys.Note: We are actively building a pipeline of qualified candidates for future opportunities. If your qualifications match our anticipated needs, a member of our Talent Acquisition team may reach out when a relevant role becomes available or for preliminary discussions.

About the Role Character.AI is building new ways for people to experience AI entertainment. The team aims to make personalized, engaging AI accessible to everyone. To support this mission, Character.AI is hiring a Product Marketing Manager in Redwood City, CA. This person will lead product launches, shape messaging, and strengthen the company's presence in app stores and within the product itself. This is the first dedicated Product Marketing Manager role at Character.AI. Reporting to the Head of Growth Marketing, the PMM will work closely with Monetization Product Managers and teams across Product, Growth, and Creative. The position offers a chance to build the function from the ground up and shape how Character.AI communicates with users. What You Will Do Go-to-Market Strategy Lead end-to-end GTM for product launches: Create positioning, messaging, launch plans, timelines, and branded campaigns. Manage the c.ai subscription promotion calendar: Plan and run promotional deals, discounts, and trial offers that align with the brand and cultural events. Design and implement branded campaigns to boost awareness, drive trials, and reinforce Character’s brand identity. Develop and maintain the positioning framework: Define product positioning, competitive messaging, and value propositions that evolve with the product and market. Analyze the competitive landscape: Track competitor positioning, pricing, and marketing tactics to inform Character.AI’s messaging and differentiation. Set success metrics for product launches and build repeatable playbooks based on insights. App Store Optimization (ASO) Oversee app store listing performance for iOS and Android: Develop keyword strategies, optimize metadata, and improve conversion rates while monitoring rankings. Work with the design team to produce visual assets such as screenshots and promotional videos for app store listings.

About the Role:Character.AI is at the forefront of revolutionizing interactions between individuals and intelligent agents. As we expand our platform, we aim to develop sustainable, user-focused monetization strategies encompassing subscriptions, advertising, and virtual currency ecosystems.We are looking for a dedicated Staff Data Scientist to collaborate closely with our product, engineering, and growth teams to enhance and scale Character.AI’s monetization systems. This position is pivotal in empowering teams to create, launch, and refine data-driven, user-centric monetization experiences while influencing our approach to measuring, experimenting with, and increasing revenue without sacrificing the creativity and openness that define Character.AI.

About the RoleCharacter.AI is seeking a passionate and innovative Software Engineer to join our Safety Engineering team! In this pivotal role, you will collaborate closely with Product, Design, and Trust and Safety operations teams to develop tools and product features that promote a safe, transparent, and engaging user experience. You'll be instrumental in crafting groundbreaking solutions to the unique challenges associated with human-to-AI interaction, applying your technical skills to help shape industry best practices in this evolving field.Key ResponsibilitiesDesign and implement the user interface for our Trust and Safety systems, balancing risk reduction, user experience enhancement, and platform reliability across various features to deliver an exceptional user experience.Gain a deep understanding of our users and their behaviors to create innovative technical solutions that encourage positive interactions on our platform.Partner with other product teams to co-create modular and scalable safety design systems that ensure all product features can be launched safely while maintaining a high launch velocity.Work collaboratively with the Trust & Safety team to understand moderation workflows and develop tools that enhance their decision-making capabilities. Evaluate and integrate third-party solutions when necessary.Collaborate with engineers and Trust & Safety stakeholders to design interfaces and interaction models that incorporate AI-assisted moderation, facilitating effective human-AI collaboration.Utilize user data and insights to enhance our core LLM and other models. Develop frontend systems that visualize the feedback loops between moderation actions and AI training, ensuring that critical data insights are surfaced to support safe and positive user experiences across the platform.

Join Dexterity as a Senior/Staff Algorithms Engineer and tackle diverse challenges in robot task and action planning. Utilize advanced techniques from machine learning, search algorithms, and both discrete and continuous optimization to address complex sequential decision-making problems that involve reasoning about the physical world and its dynamics. Stay updated with the latest advancements in reinforcement learning, task and motion planning, and related areas to enhance Dexterity's foundational technology in physical AI.Dexterity's cutting-edge robotic systems integrate data from various sensors, such as RGB cameras, depth sensors, force-torque sensors, encoders, system telemetry, and human input. You will have the opportunity to develop sensor fusion and state estimation techniques to effectively utilize this multimodal sensory data for planning algorithms.Collaboration will be key as you work with the data platform, physics simulation, and robot operations teams to devise innovative methods for refining the system’s internal world model.As Dexterity expands its range of algorithmic challenges with new robotic applications, your contributions will include optimizing packing algorithms for constructing taller, denser, and more stable structures with various objects, addressing logistics tasks for inventory movement and sorting in warehouses, and developing models that comprehend physics and geometry for tasks of varying durations.In addition to algorithmic development, you will be tasked with creating high-quality, maintainable, and efficient software, leveraging your strong software design expertise to guide broader software development within the team.About Dexterity:At Dexterity, we are passionate about leveraging robotic technology to create positive changes in the world. Our innovative solutions empower individuals to focus on creative and problem-solving tasks while robots manage repetitive and physically demanding work.We are at the forefront of warehouse automation, addressing the critical need for smarter, more resilient supply chains that impact countless lives and businesses globally. Our full-stack robotic systems possess the capability to pick, move, pack, and collaborate with human-like skill, awareness, and learning. With a software-driven, hardware-agnostic approach, our systems have successfully picked over 15 million goods in production. Our customer-centric philosophy drives every decision we make – always asking how we can better serve our clients.

Join Dexterity as a Senior Computer Vision Engineer where you will be pivotal in developing advanced Computer Vision code and Machine Learning models tailored for innovative applications. In this position, you will assess our existing systems, identify their limitations, and apply your expertise in Computer Vision to create cutting-edge ML models. Your role will also include enhancing and scaling our existing ML pipelines to accommodate diverse scenarios and elevate accuracy.You will utilize your knowledge in semantic segmentation and instance segmentation, staying abreast of the latest advancements in these domains and implementing them using frameworks such as PyTorch and TensorFlow. Proficiency with RGBD datasets and point clouds is crucial, as is experience in ML and CV related to autonomous vehicles or robotics. A strong foundation in writing optimized code in C++ and Python is essential. Additionally, familiarity with cloud infrastructure to create robust training and serving pipelines is a significant aspect of this role.At Dexterity, our applications demand low-latency inference that approaches real-time performance, and you will be tasked with constructing high-performance models and serving architectures. While knowledge of open-source solutions is advantageous, we require candidates to have experience developing their own models and establishing training pipelines. You will oversee the complete process of data gathering, augmentation, labeling, and curation, as well as evaluating performance, optimizing model quality, training, deploying, and troubleshooting models in real-world scenarios.About DexterityAt Dexterity, we are passionate about the transformative potential of robotics. Our groundbreaking technology empowers people to engage in creative, inspiring, and problem-solving roles by allowing robots to take on repetitive and physically demanding tasks. We are focusing on warehouse automation, where the demand for smarter, more resilient supply chains influences millions of lives and businesses worldwide. Dexterity's comprehensive robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven, hardware-agnostic, and have successfully managed the picking of over 15 million goods in production. Our customer-centric approach drives every decision we make, always asking how we can enable our customers to achieve more with our robotic solutions.

Join Team CATHEXIS, where we redefine the government contracting landscape through agile responses, unmatched expertise, and innovative problem-solving. Our core strengths lie in exceptional program and project management, data analytics, and audit services, all underpinned by our commitment to operational excellence.At CATHEXIS, we believe in continuous improvement—not just for our clients but for ourselves. We operate with a collaborative mindset, striving to create an environment that honors our collective values and individual aspirations. Our guiding principles emphasize integrity, accountability, mutual growth, and purposeful action in all our endeavors for employees, clients, partners, and communities. We understand that true success stems from empathetic leadership, high ethical standards, and fostering a workplace where creativity flourishes.We are actively seeking a passionate AI/ML Software Developer located in Redwood City, CA to enhance our team! In this role, you will collaborate with a talented group of engineers to develop cutting-edge AI applications. The ideal candidate will possess practical development experience with JavaScript, Python, or Java and demonstrate a collaborative spirit to tackle challenges creatively. If you are enthusiastic about delivering high-quality solutions, we want to hear from you!

Summary Description:Syntiant Corp., a pioneering name in the rapidly evolving AI software and semiconductor solutions sector, is in search of a seasoned and skilled Senior Machine Learning Engineer. This position offers a unique opportunity to significantly impact the Machine Learning capabilities within a dynamic and expanding organization.The Senior Machine Learning Engineer will focus on the design and development of cutting-edge audio and visual models for deployment on edge devices. We seek individuals who are at the forefront of Machine Learning advancements and can effectively transform research insights into precise and resilient solutions.

About the Role and TeamAs a Research Engineer on the Post-Training team at Character.AI, you will immerse yourself in the dynamic field of fine-tuning AI models. Your primary focus will be on enhancing their performance and ensuring adherence to the highest standards of quality and efficiency. Your contributions will play a crucial role in our innovative advancements in AI technology, fostering an era where technology transcends mere tools and becomes a reliable companion in our everyday lives. Your creativity and expertise will serve as a driving force for transformative change in an AI-driven future.The Post-Training team specializes in evolving our robust pretrained language models into intelligent and engaging products.In your role as a Post-Training Researcher, you will collaborate with cross-functional teams and utilize our technical stack to enhance model performance and refine training methodologies, including data, compute, and algorithms. You will have the opportunity to shape the conversational experiences of millions of users daily.

Join Poshmark Inc. as a Software Engineer II specializing in Machine Learning, where you will play a critical role in developing innovative algorithms and scalable solutions that enhance user experiences on our platform. Collaborate with cross-functional teams to design, implement, and optimize machine learning models that drive business objectives and foster growth.

About the RoleJoin Character as a Staff Software Engineer on our AI Platform, where you will engage in a dynamic array of projects at the intersection of software engineering and AI data. Your role will initially focus on three pivotal areas:Assist our research team by creating the essential tools and datasets to train cutting-edge models.Activate our "data flywheel" by developing data pipelines and collaborating closely with ML researchers to ensure our AI models are continually refined and aligned with human feedback.Enhance our data infrastructure, utilizing technologies such as Spark, Beam, and GCP.

About the Role and TeamAs a Research Engineer on the ML Systems team at Character.AI, you will engage in pioneering work on advanced machine learning training and inference systems. Your expertise will be instrumental in optimizing the performance and efficiency of our GPU clusters, as well as creating innovative technologies that enhance leading consumer AI models. Your contributions will ensure our systems can handle over 20K queries per second in production utilizing large language models. At Character.AI, your creativity and skills will be pivotal in ushering in an era where AI technology becomes a daily companion rather than just a tool.What You'll DoThe ML Systems team focuses on researching and deploying systems that maximize GPU usage for AI-driven products.In this role, you will collaborate across teams and technologies to enhance our training performance and inference runtime, directly influencing the conversational experiences of millions of users daily.Examples of projects you may work on include:Crafting efficient Triton kernels and optimizing them for our specific models and hardwareDesigning prefix-aware routing algorithms to elevate serving cache hit ratesTraining and distilling large language models to reduce latency while maintaining accuracy and engagementBuilding a robust and scalable distributed RLHF stack that supports model innovationsDeveloping systems for efficient multimodal (image and video generation) model training and inferenceWho You AreHolding a PhD (or equivalent) in a relevant field with research experienceProficient in writing clear and maintainable production system codePossessing a strong grasp of contemporary machine learning methodologies (including reinforcement learning and transformers)Demonstrating a proven track record of remarkable research or innovative ML systems projectsComfortable developing model code (in PyTorch) for training or inference tasksNice to HaveExperience in training large models in distributed environments utilizing PyTorch distributed, DeepSpeed, or MegatronFamiliarity with GPUs and collectives (training, serving, debugging) and writing kernels

About the Role and TeamAs a Research Engineer at Character, you will play a critical role in addressing one of the most pressing challenges in artificial intelligence: ensuring safety and alignment. Your contributions will be vital in identifying and mitigating the risks associated with advanced AI systems, conducting essential research to enhance the safety of our models, and tackling fundamental technical challenges related to AI alignment—ensuring our models align with human values and intentions.The Safety team is committed to innovating and applying techniques that enhance the robustness, honesty, and harmlessness of our models. In this position, you will connect theoretical research with practical applications, producing high-quality code to test hypotheses and directly integrating effective safety solutions into our products. Your research will safeguard millions of users while advancing the scientific community's understanding of how to create safe and beneficial AI.

Join the Team at DatologyAIAt DatologyAI, we're revolutionizing the way AI models are trained. Our cutting-edge data curation suite is designed to automatically optimize vast amounts of data, ensuring that models learn efficiently without the waste associated with irrelevant or redundant information.Training on our curated data can expedite the training process, making it 7 to 40 times faster depending on the specific use case, while also enhancing model performance significantly, akin to training on over 10 times more raw data—without incurring additional costs. This means smaller models with fewer parameters can outperform their larger counterparts, resulting in remarkable cost savings during deployment.With a successful fundraising history of $57.5M across Seed and Series A rounds, backed by renowned investors such as Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, and Amazon, we stand at the forefront of data research and engineering. Our team is dedicated to simplifying data curation for anyone aiming to enhance their own models.This position is based in Redwood City, CA, where we collaborate in-office four days a week.

About the RoleJoin our innovative Safety Engineering team at Character.AI as a talented Software Engineer. In this pivotal role, you will be instrumental in designing, developing, and scaling advanced backend systems while applying machine learning techniques to address critical safety and integrity challenges. You will be at the forefront of developing innovative solutions to navigate the complex safety landscape associated with human-AI interactions, utilizing your technical skills to help establish industry best practices in this rapidly evolving domain. This high-impact position will enable you to provide technical leadership, foster innovation, and enhance the trustworthiness of our platform.What You'll DoArchitect & Build: Design, develop, and maintain highly scalable, resilient, and efficient backend systems that support our integrity and safety functionalities.Lead Complex Solutions: Spearhead the technical design and implementation of sophisticated backend solutions aimed at detecting, preventing, and mitigating various integrity risks, including traditional challenges like content classification and spam, as well as emerging threats associated with Generative AI.Apply Machine Learning: Conceptualize, develop, deploy, and refine machine learning models and algorithms to tackle complex integrity issues, including content classification, anomaly detection, risk scoring, and behavior analysis, while ensuring robust safeguards for Generative AI systems.Cross-Functional Collaboration: Work closely with product managers, data scientists, AI researchers, security teams, and operations to define requirements, design innovative solutions, and deliver impactful integrity systems, particularly for Generative AI products.Technical Strategy & Roadmap: Drive the long-term technical vision and roadmap for backend integrity systems and applied ML capabilities, focusing on addressing Generative AI safety concerns in alignment with company objectives.Mentorship & Leadership: Provide technical guidance and mentorship to fellow engineers within the team and across the organization, fostering a culture of engineering excellence.

About Box Box (NYSE:BOX) stands at the forefront of Intelligent Content Management, empowering organizations to facilitate collaboration, oversee the entire content lifecycle, safeguard critical information, and transform business workflows leveraging enterprise AI. Established in 2005, Box simplifies operations for prominent global entities such as JLL, Morgan Stanley, and Nationwide. Our headquarters is located in Redwood City, CA, with additional offices across the United States, Europe, and Asia. Joining Box means becoming an integral part of a transformative journey. Content is the lifeblood of organizational workflows, encompassing the vast array of files and data exchanged daily—ranging from contracts and invoices to employee records and marketing materials. Our mission is to infuse intelligence into content management, enabling our customers to revolutionize their workflows. With the convergence of AI and enterprise content, the potential to reshape collaborative work has never been more significant, and at Box, you will be at the forefront of this monumental change. Why We Need You Box Shield is our cutting-edge security solution designed to protect information flow and mitigate content-related risks efficiently—without impeding productivity. It features classification-based security controls to preempt data loss and AI-driven, context-aware alerts to identify potential data theft and malicious content. Box Shield enables secure hybrid work from any location and device, providing essential tools for large-scale content protection. The Shield team seeks passionate Machine Learning Engineers dedicated to developing enterprise security features capable of handling complex scenarios robustly and intuitively. Our mission is to safeguard the integrity of enterprise information while ensuring a seamless user experience, making Box the preferred choice for secure Cloud Content Management. Shield enables clients to secure their content by detecting malware, compromised accounts, and unusual behaviors, equipping Administrators with timely information to avert potential issues. As a member of our diverse, fast-paced team primarily focusing on backend development, you will collaborate with others to create innovative capabilities that help our customers protect their Box content.

About DatologyAI DatologyAI focuses on improving AI model training by addressing the quality and relevance of training data. Many traditional training processes waste compute power on data that is already learned or not useful, which drives up costs and lowers model quality. To solve this, DatologyAI has built a data curation suite that automatically selects and optimizes large datasets. This approach helps teams build stronger AI models by: Increasing training speed by 7 to 40 times, depending on the use case Boosting model performance to match results seen with over 10 times more raw data Enabling smaller models (with less than half the parameters) to outperform larger ones, while using less compute for inference and reducing deployment costs DatologyAI’s progress has attracted support from top investors such as Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI leaders including Geoff Hinton and Yann LeCun. The company has raised $57.5M over two funding rounds. The team works from an office in Redwood City, CA, with four in-office workdays each week.

Be a Pioneer in the Future of Home Robotics with Us!At Sunday, we are on a mission to revolutionize home life by developing personal robots that liberate individuals from mundane tasks. Our ambitious vision is to make versatile robots accessible to everyone, giving families back precious time to enjoy what they love.After 18 months of dedicated team-building, securing investments, and validating our groundbreaking technology, we are looking for enthusiastic individuals to join us in our next growth phase. If you’re eager to contribute your expertise to the cutting edge of robotics, we invite you to connect with us.Your Role and ResponsibilitiesIn our quest to create home robots, we are addressing one of the most significant challenges in robotics: achieving dexterous and safe mobile manipulation in dynamic environments. This requires us to innovate across all levels of the robotics stack. By training advanced AI models that utilize our extensive, high-quality real-world data collection system, we aim to create a new category of consumer hardware that enhances everyday life. As a valued member of our small, dynamic team, you will significantly influence our technology and product development, advancing the field of embodied AI and ultimately restoring countless hours to our users.As a Machine Learning Research Engineer, you will focus on developing the software and algorithms that empower our robots to perform complex manipulation tasks within home settings. You'll harness our unique in-the-wild data collection capabilities and our expanding fleet of robots to continuously enhance functionalities and robustness across various tasks and environments.Key ResponsibilitiesDesign and implement cutting-edge robot learning algorithms for manipulation and control tasks.Utilize large-scale real-world data to create adaptable robot behaviors.Manage the complete process from task definition and data curation to model training, evaluation, and deployment on robots.Collaborate with a multidisciplinary robotics team to design a consumer-friendly personal robot.Develop maintainable, high-quality code for both research and production environments.Your Qualifications3+ years of experience in machine learning focused on robotics or related fields.Strong programming skills in languages such as Python, C++, or similar.Expertise in developing and deploying machine learning models.Familiarity with robotics frameworks and tools.A passion for innovation and a collaborative spirit.

About DexterityAt Dexterity, we envision a future where robotics revolutionizes our world. Our innovative technology empowers individuals to engage in creative and problem-solving roles, allowing robots to take on repetitive and physically demanding tasks.We are focusing on warehouse automation, addressing the urgent need for intelligent and resilient supply chains that impact millions globally. Dexterity's advanced robotics systems are capable of picking, moving, packing, and collaborating with human-like precision and adaptability. Our solutions are both software-driven and hardware-agnostic, successfully handling over 100 million goods in production. Our dedication to our clients drives every decision; we continually ask ourselves how we can empower our customers to achieve the unimaginable with our robotic solutions.As one of the fastest-growing companies in robotics, Dexterity is backed by prominent investors like Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. Our diverse team thrives on a culture of passion, trust, and commitment. Join us at Dexterity to help bring intelligent robots to life!About the RoleIn the role of Senior/Staff Machine Learning Engineer, you will tackle a variety of complex challenges related to robotic task and action planning. You will apply machine learning techniques to resolve intricate sequential decision-making problems that necessitate understanding the physical world and its dynamics. You will keep up with the latest advancements in imitation learning, reinforcement learning, and other relevant domains to enhance Dexterity's foundation in Physical AI. Additionally, you will oversee the updating and scaling of our existing ML pipelines to cater to more scenarios and boost accuracy.Our robotic solutions harness data from various sensors, including RGB cameras, depth sensors, force-torque sensors, encoders, system telemetry, and human input. You may engage in sensor fusion and state estimation techniques to better inform the planning algorithms using this multimodal sensory data.You will collaborate closely with teams responsible for data platforms, physics simulations, and robot operations to find efficient ways to enhance the internal world model of our systems.As Dexterity continues to expand its range of algorithmic challenges with new robotic applications, you will play a pivotal role in our innovative journey.