Infrastructure Engineer at fathom.video | Remote

Poolside is dedicated to advancing Artificial General Intelligence (AGI), with a focus on innovation and engineering that drives economic and scientific progress. The company brings together experts in research and software development, all working toward high-quality systems. As a remote-first team, Poolside’s staff are based across Europe and North America…

Poolside is committed to building Artificial General Intelligence within this decade. The company emphasizes rapid innovation, applied research, and large-scale deployment. By increasing the scale and capability of its models, Poolside aims to create economic value while focusing on user and customer success. The broader vision is to make AI central to meaningful work and scientific progress. The team works remotely across Europe and North America, meeting in person for three days each month and gathering for longer offsites twice a year. Researchers and engineers collaborate closely, sharing responsibility for building high-quality systems. Strong engineering practices support fast development and amplify results. Role overview The Reinforcement Learning Engineer role focuses on advancing the reasoning and coding abilities of Large Language Models using reinforcement learning. This position combines research and hands-on engineering: designing new training algorithms, developing and scaling RL environments, and implementing solutions throughout Poolside’s technology stack. Substantial GPU resources are available to support these projects. Mission Expand the reasoning and coding capabilities of foundational models through reinforcement learning. Key responsibilities Design and run experiments to improve reasoning and code generation in large language models. Oversee projects from initial idea through to integration. Stay current with the latest research in the field and contribute to ongoing research efforts. This is a remote position open to candidates based in EMEA or on the East Coast of North America. View GDPR Policy

Join Atticus as a Lead Infrastructure EngineerAt any moment, 16 million Americans require urgent assistance from our legal system or government due to crises in their lives. Unfortunately, many do not receive the help they need. At Atticus, we simplify the process for individuals facing health challenges or crises to access the vital support they deserve. Over the past six years, we have established ourselves as the premier platform connecting individuals with disabilities to government benefits. Additionally, we assist victims of accidents, misconduct, and violence in obtaining compensation from insurance. To date, we have empowered hundreds of thousands of individuals to secure over $10 billion in critical assistance, earning more than 17,000 five-star reviews along the way. And we are just getting started.With over $100 million raised from prominent VC firms such as Fika, Forerunner, GV (Google Ventures), and True Ventures, we are on a mission to build a category-defining business dedicated to assisting disadvantaged Americans. Following our Series C funding in April 2025, we have more than $50 million in the bank and a robust, profitable core business. Our team expanded from 151 to 210 in 2025, and we plan to grow further in 2026.Your RoleWe are seeking a Lead Infrastructure Engineer to define and implement exceptional infrastructure standards at Atticus. You will build the platforms and tools that enable our engineering teams to deliver quickly and efficiently.As our second infrastructure engineer, you will collaborate with Jereme to lay the technical groundwork for our future — articulating the vision, constructing the systems, and establishing the practices that will support Atticus for years to come.Own infrastructure as a product, serving our product engineering teams as your clients. This entails:Shaping our infrastructure roadmap — creating a clear vision for our infrastructure’s trajectory and driving initiatives to achieve it.Building security and operational foundations — establishing the groundwork for sustainable growth.Enhancing reliability — minimizing MTTR, defining SLOs, and introducing rigor in outage management.Empowering product teams — developing platforms and tools that enable them to manage their systems comprehensively.This is a senior individual contributor role, directly reporting to Toby, our VP of Engineering. You will play a critical role in shaping our infrastructure vision and strategy.

Join our dynamic team at Ekumen Labs as a Machine Learning Data Engineer. In this role, you will leverage your expertise in machine learning and data engineering to design and implement robust data pipelines that facilitate the deployment of machine learning models. Your contributions will be crucial in transforming raw data into valuable insights that drive business decisions and enhance the efficiency of our operations.

At Assured, we are redefining the insurance landscape with innovative solutions that streamline claims processing, a crucial yet often neglected aspect of the industry. The traditional methods—relying heavily on phone calls, faxes, and intuition—are not just outdated; they're costing the industry billions annually. We're committed to transforming this.Our mission is to equip large insurers with cutting-edge software that empowers them in today's tech-driven marketplace. From intuitive self-service claim-filing systems to sophisticated backend fraud detection, we serve as the backbone of claims processing for some of the most prominent insurers globally.The challenges at Assured are multifaceted—from crafting digital experiences that provide clarity and comfort to claimants in their times of need, to orchestrating advanced machine learning-driven decision-making on billions of dollars in claims payments. Life at Assured is dynamic, collaborative, and rewarding.We are seeking a skilled Staff Cloud Infrastructure Engineer who is passionate about enhancing automation, ensuring reliability, and empowering developers through exceptional platform engineering. If you thrive in a fast-paced startup culture and are eager to influence the future of large-scale cloud infrastructure, we want to hear from you.

About TelnyxAt Telnyx, we're not just envisioning the future of global connectivity—we're actively building it. Our efforts span from architecting a private, global, multi-cloud IP network to delivering hyperlocal edge technology right at your fingertips through intuitive APIs. We're dedicated to shaping a new era of seamless interconnection between people, devices, and applications.Our mission is to transform and modernize outdated systems, automate manual processes, and tackle real-world challenges through innovative connectivity solutions. Our success is a testament to our robust financial stability, which allows us to invest in cutting-edge technologies and nurture an environment of continuous learning and growth for our team.We envision a world where borderless connectivity inspires boundless innovation. By joining us, you can play a vital role in laying the foundations for this interconnected future. We are currently looking for enthusiastic individuals eager to contribute to an industry-defining company while advancing their own skills and careers.The RoleThe Telnyx infrastructure team is in the process of creating a next-generation platform that spans multiple cloud providers and continents. We leverage our private backbone network with cross-connects to major cloud providers including AWS, Azure, GCP, and IBM Cloud, to develop a cloud-agnostic, highly available platform. With our agile team, we currently operate infrastructure in 10 Points of Presence (PoPs) across 3 continents.In This Role You WillDesign, develop, and deploy scalable solutions for managing databases like PostgreSQL, MySQL, Cassandra, Kafka, RabbitMQ, Redis, and more, in both virtualized environments and Kubernetes clusters.Collaborate with engineering teams to identify and address challenges in managing large-scale, high-availability data systems.

At GitLab, we are revolutionizing software development with our cutting-edge AI-powered DevSecOps Platform, embraced by over 100,000 organizations globally. Our mission is to empower everyone to contribute to the software that drives our world forward. By fostering a culture where consumers can become contributors, we are accelerating human progress and breaking down barriers in technology. Our platform enhances collaboration across teams and organizations, pushing the boundaries of what's achievable in software development. With innovative products like Duo Enterprise and Duo Agent Platform, we deliver AI benefits at every stage of the software development lifecycle (SDLC).Our commitment to AI extends into our workplace culture, where team members are encouraged to integrate AI into their daily workflows to enhance productivity and drive impactful innovation. At GitLab, we nurture careers, promote creativity, and value every voice. Our high-performance culture is rooted in our core values and a continuous exchange of knowledge, empowering our team to reach their full potential while collaborating with industry leaders to tackle complex challenges. Join us in co-creating the future as we develop technology that transforms the software development landscape.Role OverviewWe are in search of a Principal Engineer to spearhead the technical direction for our vital infrastructure platforms. This key role operates on an organizational scale, taking ownership of architecture, addressing complex system challenges, and leading initiatives that influence GitLab's growth, performance, and reliability.As a Principal Engineer, you will act as a technical authority and force multiplier, guiding architectural decisions across distributed and cloud-native systems, translating business strategies into sustainable technical paths. Collaborating across multiple teams and domains, you will clarify ambiguity, elevate engineering standards, and mentor senior talent, all while being accountable for tangible production outcomes. This hands-on, high-impact position is tailored for leaders who excel through influence and shape the foundational platforms crucial to our organization.

At Canonical, we are on a mission to revolutionize enterprise data solutions by creating a state-of-the-art automation suite that seamlessly integrates multi-cloud and on-premise environments. Our Data Platform Team is at the forefront of this initiative, driving innovation through the development of a diverse range of data storage solutions and technologies that encompass big data, NoSQL, caching layers, and advanced analytics, alongside structured SQL engines.We tackle the intriguing challenges associated with fault-tolerant, mission-critical distributed systems, striving to deliver the world's leading automation solutions for data platforms.Our team is expanding, with openings ranging from junior to senior levels. We will work closely with you to find a fitting role that aligns with your skills and passions. Engineers who excel at Canonical are those who appreciate the dynamics of the open-source community while understanding the demands of large-scale, innovative organizations.Location: This position is open to candidates in the European, Middle Eastern, and African time zones.

At Speechify, our mission is to ensure that reading is never a barrier to learning. We believe that everyone should have access to knowledge, and our innovative solutions are designed to make reading more inclusive and efficient.With over 50 million users, Speechify’s suite of text-to-speech products transforms various reading materials—such as PDFs, books, Google Docs, news articles, and websites—into audio. This enables users to read faster, absorb more information, and enhance retention. Our offerings include an iOS app, Android app, Mac app, Chrome extension, and web app. Google recognized Speechify as the Chrome Extension of the Year, and Apple awarded us the 2025 Design Award for Inclusivity.Currently, our diverse and talented team of nearly 200 professionals operates in a fully remote environment, harnessing the expertise of individuals from renowned companies like Amazon, Microsoft, and Google, as well as leading academic institutions such as Stanford. We also welcome founders and innovators from high-growth startups like Stripe, Vercel, and Bolt.OverviewWe are seeking a passionate Software Engineer to join our AI team, specifically focusing on data infrastructure and acquisition. In this role, you will be pivotal in managing all aspects of data collection to support our model training operations. By integrating infrastructure, engineering, and research, we build high-quality datasets at a petabyte scale efficiently and cost-effectively.

Role Overview xbowcareers is hiring a Software Engineer focused on Platform and Core Infrastructure. This remote position is open to candidates based in Europe. What You Will Do Develop and maintain core systems that support the company’s technology foundation. Work to improve operational efficiency through thoughtful engineering solutions. Collaborate with cross-functional teams to deliver reliable and scalable infrastructure. Contribute ideas and technical expertise to strengthen the overall technology stack. Who We’re Looking For Solid experience in software development. Interest in tackling complex challenges in platform and infrastructure engineering. Comfort working with colleagues across different teams and disciplines. Based in Europe and able to work remotely.

At Speechify, our mission is to eliminate barriers to learning by transforming reading into an engaging auditory experience. With over 50 million users, our cutting-edge text-to-speech solutions convert a variety of texts—including PDFs, books, Google Docs, articles, and websites—into audio format, enabling users to read faster, absorb more, and enhance their retention. Our innovative products, which include an iOS app, Android app, Mac app, Chrome extension, and web application, have been recognized with prestigious awards, including Google's Chrome Extension of the Year and Apple's 2025 Design Award for Inclusivity.As part of our global team of nearly 200 professionals, working entirely remotely, you will collaborate with talented engineers, AI researchers, and industry veterans from companies like Amazon, Microsoft, and Google, as well as from leading academic institutions such as Stanford. We pride ourselves on fostering a dynamic work environment where innovation thrives.Role OverviewWe are on the lookout for a passionate Software Engineer to join our Data team within the AI division at Speechify. In this pivotal role, you will manage the full spectrum of data collection efforts to support our model training operations. Your expertise will enable us to build high-quality datasets on a petabyte scale efficiently and cost-effectively through seamless integration of infrastructure, engineering, and research.

Join Canonical as a Software Engineer focusing on Data Infrastructure, where you'll play a crucial role in building our innovative automation suite for multi-cloud and on-premise data solutions tailored for enterprises. Our collaborative data platform team is dedicated to developing managed solutions across a diverse range of data technologies, including big data, NoSQL, caching, analytics, and structured SQL engines like Amazon RDS. Embrace the challenge of creating fault-tolerant, mission-critical distributed systems, and help us deliver unparalleled automation solutions for managed data platforms. We welcome candidates at all experience levels who are eager to learn and grow in Big Data technologies such as Kafka and Spark. At Canonical, we value open-source community dynamics and understand the needs of large, forward-thinking organizations.

About the RoleWe are seeking a passionate Machine Learning Engineer to spearhead the enhancement of model inference performance at scale. In this role, you will bridge the gap between theoretical research and practical application by transforming cutting-edge models into efficient, scalable, and user-centric systems.This position is perfect for individuals who thrive in a technically challenging environment, enjoy in-depth system profiling down to the kernel and GPU levels, and excel at converting innovative research ideas into production-ready performance improvements.What You’ll DoEnhance inference latency, throughput, and cost-efficiency for large-scale ML models deployed in productionAnalyze and troubleshoot GPU/CPU inference pipelines focusing on memory, kernels, batching, and I/O performanceImplement and optimize techniques including:Quantization strategies (fp16, bf16, int8, fp8)KV-cache optimization and reuseSpeculative decoding, batching, and streamingModel pruning and architectural simplifications for optimized inferenceCollaborate closely with research engineers to transition novel model architectures to productionConstruct and uphold inference-serving systems using frameworks such as Triton, custom runtimes, or bespoke stacksBenchmark performance across various hardware setups (NVIDIA / AMD GPUs, CPUs) and cloud configurationsEnhance the reliability, observability, and cost efficiency of systems under real workload conditionsWhat We’re Looking ForSignificant experience in ML inference optimization or high-performance machine learning systemsStrong grasp of deep learning fundamentals (attention mechanisms, memory architecture, compute graphs)Practical experience with PyTorch (or similar frameworks) and model deployment techniquesFamiliarity with GPU performance enhancements (CUDA, ROCm, Triton, or kernel-level optimizations)Proven capability in scaling inference systems for real-world users beyond research benchmarksAdaptability to work in a fast-paced startup atmosphere, embracing ownership and navigating ambiguityPreferred QualificationsExperience with LLM or long-context model inferenceKnowledge of various inference frameworks (TensorRT, ONNX Runtime, vLLM, Triton)

About the PositionWe are on the lookout for a Machine Learning Engineer specialized in model distillation to assist us in developing compact, rapid, and efficient models while maintaining high-quality standards. This role will involve blending research with practical applications—transforming state-of-the-art methodologies into scalable systems.This is a proactive role offering significant ownership: you will design distillation pipelines, conduct extensive experiments, and deliver models utilized in production environments.Your ResponsibilitiesDesign and implement knowledge distillation pipelines (including teacher-student, self-distillation, multi-teacher approaches, and more).Convert large foundational models into more compact, efficient, and cost-effective models for inference.Execute and scrutinize large-scale training experiments to assess quality, latency, and cost trade-offs.Work closely with research teams to adapt innovative distillation concepts into production-ready code.Enhance training and inference efficiency (memory usage, throughput, and latency).Contribute to the development of internal tools, evaluation frameworks, and experiment tracking systems.(Optional) Engage in contributing to open-source models, tools, or research.Ideal Candidate ProfileRobust background in machine learning and deep learning.Hands-on experience with model distillation techniques (including LLMs or other neural networks).Strong grasp of training dynamics, loss functions, and optimization strategies.Proficiency in PyTorch (or JAX) along with contemporary ML tools.Comfortable conducting experiments across multi-GPU or distributed configurations.Ability to critically evaluate model quality versus performance trade-offs.Pragmatic outlook: you prioritize deployment over merely publishing research.Preferred QualificationsExperience in distilling large language models or sizable sequence models.Familiarity with inference optimization techniques (like quantization, pruning, kernels, etc.).Experience in evaluating language models.Contributions to open-source projects or research publications.Experience in early-stage product development.

About Agero:At Agero, we're redefining the vehicle ownership experience. Our mission is to enhance the relationship between clients and their customers through innovative people and data-driven technology. As a leading B2B provider of digital driver assistance services, we are transforming traditional processes into efficient, digital, and connected solutions. Our offerings include a state-of-the-art dispatch management platform powered by Swoop, comprehensive accident management services, and a growing ecosystem of consumer support. Partnering with top automobile manufacturers and insurance carriers, Agero oversees 150 million vehicle coverage points and responds to approximately 12 million service events annually. Headquartered in Medford, MA, and part of The Cross Country Group, we operate across North America. To learn more, visit https://www.agero.com/.Note: For our technical roles, we prefer to start in person! You may need to travel to Medford for onboarding, but we will manage all travel arrangements and expenses for you.Role Description and Mission:The Engineering Manager for Data Science and Machine Learning is a pivotal leadership position responsible for overseeing a talented team of Data Scientists, ML Engineers, and Software Engineers dedicated to architecting, building, and operating our next-generation Dispatch Optimization platform. This role requires extensive expertise in Data Science, Machine Learning, Operations Research, and scalable cloud-native service development.You will champion scientific rigor and engineering excellence to convert model outputs into real-time, impactful dispatch decisions that enhance cost efficiency and service quality.

Join Canonical's dynamic data platform team as a Software Engineer specializing in Data Infrastructure with a focus on OpenSearch and Elasticsearch. We are developing an advanced automation suite that delivers comprehensive multi-cloud and on-premise data solutions for enterprises. As part of our collaborative team, you will work on a variety of data technologies, ranging from big data and NoSQL to structured SQL engines, while ensuring optimal performance and reliability in our data operations.

Hello,We are excited to present a fantastic opportunity for a GenAI Engineer within the dynamic field of AI and Machine Learning. This role is fully remote, allowing you to work from anywhere, and is a perfect fit for someone with extensive experience in developing prototypes and proofs of concept.Position OverviewAs a GenAI Engineer, you will leverage your deep understanding of AI and machine learning principles to create innovative solutions. Your expertise in Python and familiarity with tools such as Hugging Face, Langchain, and OpenAI API will be essential in driving project success.Key Responsibilities:Develop prototypes, PoCs, and MVPs using advanced AI/ML methodologies.Utilize deep learning frameworks including TensorFlow, Keras, and PyTorch to implement solutions.Engage with cloud platforms such as Google Model Garden, Amazon Bedrock, and Nvidia Nim to enhance project outcomes.Work collaboratively in a fast-paced environment, bringing innovative solutions to complex problems.Ideal Candidate:The successful candidate will possess a strong foundation in AI and machine learning, coupled with a passion for problem-solving and a collaborative mindset.

About Agero:At Agero, we are at the forefront of transforming the vehicle ownership experience. Our mission is to innovate and enhance this experience through a unique blend of passionate individuals and data-driven technology, which strengthens the bonds between our clients and their customers. As the leading B2B, white-label provider of digital driver assistance services, we are redefining the industry by turning manual processes into digital, transparent, and connected solutions. Our offerings include an industry-leading dispatch management platform powered by Swoop, comprehensive accident management services, expert consumer affairs, and connected vehicle capabilities, along with a growing marketplace of services, discounts, and support powered by a strong partner ecosystem. We are proud to cover over 150 million vehicles in collaboration with major automobile manufacturers, insurance carriers, and more. Managing one of the largest national networks of service providers, Agero handles approximately 12 million service events annually. Headquartered in Medford, Mass., with operations across North America, we are a proud member of The Cross Country Group. To learn more, visit https://www.agero.com/.Note: For our technical roles, we encourage an in-person start! You may need to travel to Medford for your initial onboarding. Don't worry about the logistics; once you’re hired, we take care of all travel arrangements and expenses.Role Description and Mission:As the Engineering Manager for Data Science and Machine Learning, you will play a pivotal leadership role overseeing a talented team of Data Scientists, ML Engineers, and Software Engineers. Your focus will be on architecting, building, and operating our next-generation Dispatch Optimization platform. This position requires profound expertise in Data Science, Machine Learning, constrained Optimization (Operations Research), and the development of scalable cloud-native services.You will lead scientific rigor and engineering excellence to convert model outputs into real-time, high-impact dispatch decisions that optimize cost efficiency and enhance service levels.

Lead of Business OperationsLocation: RemoteEmployment Type: Full-TimeDepartment: OperationsPioneering the Future of SuperintelligenceAt Prime Intellect, we are on a transformative journey to construct an open superintelligence framework that empowers individuals and organizations to create, train, and deploy cutting-edge AI models. Our innovative approach aggregates global computing resources into a unified control plane paired with a comprehensive reinforcement learning (RL) ecosystem, including environments, secure sandboxes, verifiable evaluations, and our asynchronous RL trainer. We provide researchers, startups, and enterprises with the tools to execute end-to-end reinforcement learning at unprecedented scales, seamlessly integrating models into real-world applications and workflows.With recent funding of $15 million (totaling $20 million), led by Founders Fund and supported by Menlo Ventures and distinguished angel investors such as Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Together AI), Dylan Patel (SemiAnalysis), and Clem Delangue (Hugging Face), we are well-positioned for rapid growth.Your MissionAs the Business Operations Lead, you will be the catalyst for Prime Intellect’s accelerated growth. Collaborating directly with the CEO and cross-functional leaders in go-to-market (GTM), engineering, finance, and product, you will architect systems, processes, and reporting mechanisms that support scalability. You will manage high-priority initiatives, from strategic planning to the execution of fundamental business systems, data flows, resource allocation, and special projects, ensuring our operations are as efficient and impactful as possible.This role is ideal for a proactive generalist who thrives in dynamic environments and is eager to help shape the operational backbone of a next-generation AI infrastructure company.Key Responsibilities- Design and enhance core operational systems spanning GTM, finance, operations, and product.- Lead crucial operational initiatives from inception through execution, ensuring thorough planning and iteration.- Create and maintain comprehensive reporting and dashboards for key metrics including revenue, compute usage, expenditure, and GTM efficiency.- Collaborate with leadership to establish operational rhythms including weekly reviews, quarterly planning sessions, and board presentation materials.- Oversee vendor and partner relationships, coordinating with compute suppliers, contractors, and service providers.- Streamline internal processes to enhance cross-departmental collaboration, including contracting, onboarding, and budgeting.- Assist in the preparation of fundraising materials, investor updates, and development of strategic narratives.- Foster cross-department alignment and proactively resolve obstacles to high-priority initiatives.- Manage internal knowledge bases and process documentation as the organization expands.