Machine Learning Research Engineer at Luminance | Cambridge, UK

Join Luminance, a trailblazer in Legal-Grade™ AI for enterprises, and become part of a team that's revolutionizing the legal industry worldwide. Supported by esteemed venture capitalists and recognized in Forbes’ AI 50 list of ‘Most Promising Private AI Companies’ and Inc. 5000’s ‘Fastest Growing Companies in America’, Luminance is at the forefront of innovation.As an Applications Engineer, you will play a vital role in designing and developing our suite of web-based applications, leveraging Luminance's cutting-edge AI technology for diverse legal applications. You will work with a modern technology stack and have the opportunity to focus on UI, backend development, or a combination of both!This position is open to recent graduates eager to learn as well as experienced candidates with a strong background. If you're passionate about this opportunity but feel your skills don't perfectly align with the description, we still encourage you to apply. At Luminance, we value enthusiasm and are committed to fostering an inclusive workplace where everyone can thrive.

Join Luminance, a trailblazer in Legal-Grade™ AI for enterprises, recognized by top-tier venture capitalists and featured in Forbes AI 50 and Inc. 5000 lists for innovation and growth. Our mission is to transform the legal industry worldwide.We are seeking a proactive DevSecOps Engineer to enhance our security engineering capabilities and integrate security practices within our platform and development processes. In this role, you will collaborate with teams across Platform (SRE), IT Infrastructure, and Security to establish secure controls, automate workflows, and elevate risk management practices. If you thrive on resolving practical security engineering challenges and creating automation solutions that prioritize secure development, we want to hear from you.The ideal candidate will concentrate on automation, security control implementation, cloud security enhancement, and achieving significant improvements in our security framework.

Join Luminance, the innovator in Legal-Grade™ AI technology for enterprises. Supported by prestigious venture capitalists and recognized in the Forbes AI 50 as one of the 'Most Promising Private AI Companies in the World' and in Inc. 5000’s list of 'Fastest Growing Companies in America', Luminance is revolutionizing the legal sector globally.We are seeking detail-oriented and analytical individuals to become part of our newly formed Quality team. You will play a crucial role in developing and upholding an advanced Quality Assurance (QA) process designed to ensure our product meets the expectations and needs of our users. If you are passionate about this opportunity but feel that your qualifications do not perfectly match the requirements, we encourage you to apply. At Luminance, we are committed to fostering an inclusive workplace where everyone can thrive. Your enthusiasm is the most important trait we look for in applicants!

Join Luminance, a groundbreaking leader in Legal-Grade™ AI technology for enterprises. Supported by esteemed venture capitalists and recognized in the Forbes AI 50 list of 'Most Promising Private AI Companies in the World' and Inc. 5000's 'Fastest Growing Companies in America', Luminance is transforming the legal sector globally.Our R&D Engineers are instrumental in crafting and advancing Luminance's AI platform, delivering our core AI technology for integration within our software architecture.This position welcomes both recent graduates eager to learn and seasoned professionals with relevant experience. If you're enthusiastic about this opportunity but feel your qualifications aren't a perfect match, we encourage you to apply. At Luminance, we are committed to fostering an inclusive work environment where everyone can thrive. Your passion and drive are what matter most to us!

Collaboration Fuels Innovation. Join Roku in Transforming TelevisionAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku aims to power every television globally. We pioneered the streaming revolution, and our mission is to connect the entire TV ecosystem. We empower viewers with access to their favorite content, assist content creators in reaching vast audiences, and offer advertisers unparalleled engagement tools.From day one at Roku, your contributions will be recognized and valued. In our rapidly growing public company, you won’t just observe; you will play a vital role in enhancing the experience for millions of TV streamers across the globe while gaining invaluable experience across various fields. About the TeamThe Advanced Development team at Roku is at the forefront of innovation, creating the next generation of intelligent and generative media systems. We explore concepts that are years ahead of production, crafting foundational technologies that will redefine content understanding, creation, and personalization across millions of Roku devices.This unique environment is comprised of a PhD-level, interdisciplinary team that merges machine learning research, software engineering, and DevOps. Our experts possess not only deep technical knowledge but also a broad creative vision, challenging the status quo, embracing uncertainty, and building unprecedented solutions. Our culture is collaborative, low-ego, and driven by ownership, trust, and curiosity.We seek an Applied Scientist with a robust foundation in mathematics, machine learning, and computer science, complemented by experience in cloud engineering, DevOps, and computer vision — someone who excels at the intersection of research and production.

Join Luminance, the trailblazer in Legal-Grade™ AI solutions for enterprises. With backing from prestigious venture capitalists and recognition in Forbes AI 50 as one of the 'Most Promising Private AI Companies in the World', as well as being listed in Inc. 5000’s ‘Fastest Growing Companies in America’, Luminance is revolutionizing the legal sector worldwide.As a Legal Subject Matter Expert based in Cambridge, you will collaborate closely with our product and AI teams, utilizing your legal expertise to propel your career into an innovative realm.This unique position offers you the chance to be part of a cutting-edge AI organization, positioned at the forefront of transformation within the legal industry.Your role will encompass a variety of tasks, serving as a bridge between our product offerings, clients, and various business units.

Join Luminance, the trailblazer in Legal-Grade™ AI for enterprises, in this exciting opportunity as a Delivery Engineer. Supported by prestigious venture capitalists and recognized in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc. 5000’s ‘Fastest Growing Companies in America’, Luminance is transforming the legal industry on a global scale.As a Delivery Engineer, you will oversee the software development lifecycle (SDLC), ensuring that Luminance software is packaged and ready for distribution to our clients. Your daily tasks will involve optimizing the SDLC for efficiency and quality, addressing any inefficiencies or delays, and collaborating closely with the tech team. Long-term, you will identify weak points in the SDLC and propose or create solutions—both human and automated—to enhance its effectiveness, reliability, and transparency. If this role excites you but your qualifications aren't a perfect match, we still encourage you to apply!At Luminance, we are committed to fostering an inclusive workplace where everyone can thrive. Your passion and enthusiasm are the most valued attributes we seek in candidates!

Join Luminance, the trailblazer in Legal-Grade™ AI for enterprises, and be part of a revolutionary journey in the legal industry. With the backing of esteemed venture capitalists and recognition as one of the 'Most Promising Private AI Companies in the World' by Forbes AI 50, as well as a spot on Inc. 5000’s list of 'Fastest Growing Companies in America', Luminance is transforming the legal landscape globally.We are on the lookout for innovative Software Engineers, Machine Learning Engineers, AI Engineers, or Data Scientists who possess a hacker mentality and a solid foundation in production-grade AI applications. Proficiency with Large Language Models (LLMs) like GPT, Claude, Mistral, etc., is crucial, particularly with experience in agentic environments.With ambitious growth plans ahead, we seek bright, passionate, and driven individuals to help us meet these exciting challenges. From day one, you will be developing features and tools for some of the world’s largest corporations, where speed and quality of execution are paramount.Your role will involve creating AI prototypes that integrate multiple components to effectively address complex tasks in intricate scenarios. You will also be responsible for incorporating cutting-edge agentic technologies (such as memory management and personalization) and transforming your solutions into reusable libraries and frameworks.If this opportunity excites you but your qualifications don’t perfectly match the job description, we still encourage you to apply. Your eagerness to learn and innovate is the most important asset we seek at Luminance!

Are you passionate about advancing the field of machine learning? Join our team at Altos Labs as a Machine Learning Scientist or Senior Machine Learning Scientist. In this role, you will leverage your expertise to drive innovation and development in cutting-edge research projects. Collaborate with a multidisciplinary team to push the boundaries of machine learning technology.

Your Role at Lila Sciences We are seeking a talented Senior Software Engineer to collaborate with our Machine Learning Engineers and Researchers. You will be instrumental in developing software that enhances Lila’s ML workflows and research tools. Join a dynamic team of engineers as you contribute to the development, support, and maintenance of Lila’s cutting-edge ML libraries and tools. Your Contributions Create and optimize high-performance, secure, and thoroughly documented Machine Learning libraries that implement algorithms crafted by our machine learning specialists. Develop CI/CD pipelines and integration tests to streamline ML workflows. Design repository architectures that adhere to consistent standards. Assist with debugging, logging, and ongoing maintenance of Ray-based compute environments. Establish data ingestion pipelines connecting lab data with the ML teams. Qualifications for Success A minimum of 8 years of software development experience in commercial environments using Go or Python. Proven track record in implementing scalable software solutions. Familiarity with MLOps systems and GitOps tools (ArgoCD, GitHub Actions). Experience with orchestration frameworks like Ray, Argo, or Airflow. Strong knowledge in containerization, Kubernetes, and infrastructure-as-code tools. Excellent listening skills and the ability to comprehend complex problems and algorithms. Outstanding problem-solving abilities and a collaborative mindset. Self-motivated and detail-oriented, eager to work with dynamic, skilled teams in a fast-paced, entrepreneurial environment. Preferred Qualifications Experience with monitoring and logging tools such as Prometheus and Grafana. Background in research engineering or scientific software development. About Lila Sciences Lila Sciences is at the forefront of scientific innovation, pioneering the world’s first scientific superintelligence platform and autonomous laboratory for life sciences, chemistry, and materials science. We are committed to transforming the landscape of discovery by applying AI to every facet of the scientific method. Our mission is to leverage scientific superintelligence to address humanity's most pressing challenges, empowering scientists to deliver solutions in health, climate, and sustainability with unprecedented speed and scale. Discover more about our vision at www.lila.ai.

Collaboration Drives Innovation. Join Roku in Transforming Television ViewingRoku stands as the premier TV streaming platform across the U.S., Canada, and Mexico, aiming to revolutionize how people experience television on a global scale. As pioneers in TV streaming, our mission is to create a platform that connects the entire television ecosystem. We bridge the gap between consumers and their favorite content, empower content creators to reach and monetize vast audiences, and equip advertisers with unique tools to engage effectively with viewers.At Roku, your contributions are vital from day one. As a rapidly expanding public company, we value proactive engagement from all employees. This is your chance to create delightful experiences for millions of TV streamers worldwide while gaining invaluable experience across diverse disciplines. About the TeamWith over 70 million active accounts, Roku leads the way in the TV streaming industry across North America. Our commitment to machine learning and innovative recommendation systems is central to our ongoing success. We enable users to access an extensive library of content, including movies, series, news, sports, music, and channels from around the globe. Role OverviewIn this role, you will deepen our understanding of queries, content, and user behavior through machine learning. Your work will be pivotal in enhancing user satisfaction throughout their search journey. Tackling these challenges is at the heart of our mission to improve customer experience.

Join Cambridge Mobile Telematics (CMT), the leading telematics service provider dedicated to enhancing road safety and driver behavior. Our innovative AI-powered platform, DriveWell Fusion®, integrates sensor data from millions of IoT devices—including smartphones, proprietary Tags, connected vehicles, and dashcams—to deliver a comprehensive analysis of driving patterns and vehicle dynamics. Our insights are leveraged by auto insurers, automakers, and mobility companies to improve risk assessment, safety measures, and claims processes.We are excited to announce the development of DriveWell Atlas, a cutting-edge suite of foundation models that utilizes large-scale, multi-modal telematics signals to promote safer driving outcomes across various workflows such as risk assessment, safety improvement, and claims management.As a key contributor to our IC2 Foundation Models team, you will collaborate with experienced scientists and engineers to prototype, train, evaluate, and deploy time-series foundation models. This highly technical role is ideal for individuals with a solid software background and emerging expertise in applied machine learning.

Join Cambridge Mobile Telematics (CMT), the largest telematics service provider globally, dedicated to enhancing road safety for all drivers. Our innovative AI-driven platform, DriveWell Fusion®, aggregates data from millions of IoT devices—including smartphones, proprietary Tags, connected vehicles, and dashcams—fusing it with contextual information to provide a comprehensive view of driver and vehicle behavior. Our insights are utilized by auto insurers, automobile manufacturers, commercial mobility companies, and public sector entities to enhance risk assessment, safety protocols, claims processing, and driver improvement initiatives. With our headquarters in Cambridge, MA, and offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, we safeguard millions of drivers worldwide every day.As a Principal Machine Learning Engineer at CMT, you will craft algorithms that model the physical phenomena associated with vehicle and human movements as captured by mobile sensors and IoT devices. Your expertise will help solve complex real-world challenges and drive innovative solutions through exploratory data analysis on intricate, high-dimensional datasets. Leveraging your knowledge in statistics, machine learning, deep learning, signal processing, physics, programming, and data modeling, you will spearhead Data Science projects, independently create new solutions to meet CMT’s goals, and contribute to company-wide prototype development and product enhancements.If you are a collaborative, customer-focused, and inventive Principal Machine Learning Engineer eager to contribute to safer roads and better driving practices, we welcome your application!

Join Luminance, the trailblazer in Legal-Grade™ AI for enterprises. With backing from prestigious VCs and recognition on both Forbes AI 50 and Inc. 5000 listings, we are revolutionizing the legal sector worldwide.We are looking for a proactive Compliance Analyst to enhance and manage our information security compliance programs, focusing on ISO/IEC 27001:2022, SOC 2 (Type I & II), and CMMC Level 1.This key role will ensure that our compliance processes are robust, scalable, and in sync with our growth strategy. The successful candidate will collaborate with Security, Procurement, Legal, and Engineering teams to implement effective compliance practices across the organization.

Join Luminance, a leader in Legal-Grade™ AI for enterprises, and be part of a groundbreaking team that's revolutionizing the legal profession worldwide. With backing from prestigious venture capitalists and accolades like being featured in Forbes AI 50 as one of the 'Most Promising Private AI Companies' and Inc. 5000's 'Fastest Growing Companies in America', we're on the cutting edge of technology.We are on the lookout for an innovative and skilled Infrastructure Engineer to join our Infrastructure Team in a role focused on DevOps and platform engineering. The successful candidate will possess a robust background in cloud-native infrastructure development, emphasizing automation, scalability, and security, as well as a comprehensive grasp of Infrastructure-as-Code (IaC). Your role will be pivotal in designing and evolving Luminance’s AWS platform, modernizing deployment patterns, automating environment creation, and ensuring our systems are reliable, repeatable, and resilient.Key ResponsibilitiesDesign, build, and maintain scalable cloud infrastructure utilizing AWS services including EC2, EKS, RDS/Aurora, ElastiCache, OpenSearch, and CloudFront.Lead the development and adoption of Kubernetes on EKS for managing both production and internal workloads.Architect and implement Infrastructure-as-Code (IaC) pipelines, integrating Terraform or similar tools into CI/CD workflows for environment provisioning, validation, and automated testing.Implement zero-downtime deployment strategies (blue/green, rolling, canary) and automate rollback and recovery processes.Promote continuous improvement in infrastructure, focusing on eliminating single points of failure and enhancing autoscaling, high availability, and managed service adoption across the platform.Collaborate with SRE, Security, and Engineering teams to enhance observability, monitoring, and alerting using tools such as Prometheus, Grafana, and CloudWatch.Work closely with the Security team to incorporate best practices for IAM, secrets management, WAF, and overall posture management.Optimize performance and cloud expenditure through automation and cost visibility dashboards.Participate in on-call rotations, conduct post-incident reviews, and contribute to ongoing operational reliability improvements.

Our MissionAt Altos Labs, our mission is to rejuvenate cell health and resilience, aiming to reverse diseases, injuries, and the associated disabilities that arise throughout life.For further details, visit our website at altoslabs.com.Our ValuesWe embrace a singular value at Altos: Everyone Owns Achieving Our Inspiring Mission.Diversity at AltosWe hold a firm belief that diverse perspectives are crucial to scientific advancement and inquiry. At Altos, outstanding scientists and industry leaders collaborate from across the globe to further our shared mission. We prioritize creating a sense of belonging, ensuring that every employee feels valued for their unique contributions. We are collectively responsible for maintaining a diverse and inclusive workplace.Your Contributions to AltosIn the role of Senior or Principal Machine Learning Scientist, you will be instrumental in the development of generative AI/ML models for multi-modal, multiscale biology, spanning from virtual cells to agentic target assessment. We seek a hands-on, innovative, and collaborative individual to join our multidisciplinary team of scientists and engineers dedicated to transforming the treatment of aging and disease. The ideal candidate will flourish in a dynamic environment that values teamwork, transparency, scientific excellence, originality, rigor, and integrity.

Join the Team at GraphcoreAt Graphcore, we are at the forefront of revolutionizing AI computation. Our team of experts in semiconductors, software, and artificial intelligence is committed to developing an advanced AI compute stack that encompasses everything from silicon to datacenter infrastructure.As a proud member of the SoftBank Group, we are supported by significant long-term investment, enabling us to drive crucial technology within the rapidly expanding SoftBank AI ecosystem.To address the immense opportunities within the AI landscape, we are seeking to expand our teams globally. We welcome the brightest minds to tackle the most challenging problems, ensuring that every team member has an opportunity to influence our company, our products, and the future of AI.

Location: Cambridge, MA (Eastern Time / UTC -4). Relocation support is available. Remote work may be considered for candidates based outside Massachusetts.Start date: ASAPLanguages: English (required) Pragmatike is an AI startup founded by MIT CSAIL researchers, recognized by GTM Capital as a Top 10 GenAI company. The team develops advanced AI systems with a focus on real-world applications. Role overview The Principal Machine Learning Operations Engineer shapes the architecture and scaling of Pragmatike’s machine learning infrastructure. This senior position leads the design, implementation, and optimization of production AI systems, overseeing the full lifecycle from model training and evaluation to deployment, monitoring, and ongoing improvement. Collaboration is central in this role. The Principal ML Ops Engineer works closely with AI researchers, GPU systems engineers, backend developers, and product teams. The main focus is building reliable, efficient, and automated ML platforms to support large-scale AI deployments. Key responsibilities Architect, build, and improve the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring. Design and maintain infrastructure for model deployment, version control, reproducibility, and orchestration across both cloud and on-premises GPU clusters. Optimize distributed systems for computational efficiency, covering Kubernetes, autoscaling, caching, GPU allocation, and checkpointing workflows. Establish observability for ML systems by monitoring model drift, performance, throughput, reliability, and operational costs. Automate workflows for dataset curation, labeling, feature engineering, evaluation, and CI/CD for ML models. Collaborate with researchers to bring models into production and improve training and inference pipelines. Set internal ML Ops standards, best practices, and develop tools that support cross-team collaboration. Mentor engineers and provide architectural guidance across the AI platform. Requirements Extensive hands-on experience designing and operating production ML systems at scale, ideally at the Staff or Principal level. Deep knowledge of ML Ops, distributed systems, and cloud infrastructure.

Join Luminance, a trailblazer in Legal-Grade™ AI for enterprises, and seize this incredible internship opportunity. Backed by prestigious venture capitalists and recognized in the Forbes AI 50 list as one of the ‘Most Promising Private AI Companies in the World’ as well as in Inc. 5000’s ‘Fastest Growing Companies in America’, Luminance is at the forefront of transforming the legal industry worldwide.We are on an ambitious growth trajectory and are continuously seeking bright, passionate individuals eager to contribute to our success. This internship offers you a unique chance to gain hands-on experience as part of our dynamic software engineering team at a fast-paced company. You will immerse yourself in the work from day one, collaborating closely with and being mentored by one of our skilled engineers.