70 lead machine learning engineer jobs found

Become a part of our caring community and help us put health first We are seeking a Lead Machine Learning Engineer to architect, develop, and manage machine learning systems that enable real-time, personalized decision-making across digital and assisted channels. These platforms leverage predictive modeling, optimization algorithms, and contextual data to identify the most relevant next action for each individual-at scale, with minimal latency, and with a strong emphasis on reliability and explainability. This position centers on production machine learning engineering. You will lead the creation of ML pipelines, online inference services, and decision-time scoring logic, utilizing AI-assisted and agentic solutions to enhance development velocity, model quality, and operational effectiveness. Key Responsibilities ML System Design & Architecture Design and manage end-to-end machine learning systems, including: Feature engineering and reuse strategies...

As a Capital One Machine Learning Engineer (MLE) on the GenAI Workflows Serving team, you'll be part of an Agile team dedicated to designing, building, and productionizing Generative AI applications and Agentic Workflow systems at massive scale. You’ll participate in the detailed technical design, development, and implementation of complex machine learning applications leveraging cloud-native platforms. You’ll focus on building robust ML serving architecture, developing high-performance application code, and ensuring the high availability, security, and low latency of our Generative AI solutions. You will collaborate closely with multiple other AI/ML teams to drive innovation and continuously apply the latest innovations and best practices in machine learning engineering. What You’ll Do In The Role The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or...

As a Capital One Machine Learning Engineer (MLE) on the GenAI Workflows Serving team, you'll be part of an Agile team dedicated to designing, building, and productionizing Generative AI applications and Agentic Workflow systems at massive scale. You’ll participate in the detailed technical design, development, and implementation of complex machine learning applications leveraging cloud-native platforms. You’ll focus on building robust ML serving architecture, developing high-performance application code, and ensuring the high availability, security, and low latency of our Generative AI solutions. You will collaborate closely with multiple other AI/ML teams to drive innovation and continuously apply the latest innovations and best practices in machine learning engineering. What You’ll Do In The Role The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or...

Overview: Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 2,000+ employees of Draper tackle important national challenges with a promise of delivering successful and usable solutions. From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative environment that inspires the cross-fertilization of ideas necessary for true innovation. For more information about Draper, visit www.draper.com. Job Description Summary: Draper is actively seeking a Senior Cyber Software Engineer to support current and future cybersecurity, machine learning, and cyber tool development projects across a variety of domains supporting the United States of America's national interest. Due to the variety of USG organizational needs, our technical efforts and opportunities vary from conventional cyber...

Location Canada, United States Employment Type Full time Location Type Remote Department Engineering OXIO is the world’s first telecom-as-a-service (TaaS) platform. We are democratizing telecom and making it easily accessible for brands and enterprises to fully own and operate proprietary mobile networks designed to support their own customers needs. Our TaaS solution combines multiple existing networks into one single platform that can be seamlessly managed in the cloud as a modern SaaS offering. And it gets better - with full network access comes unparalleled business intelligence and insights to help enterprises better understand customer and machine (M2M) behavior. With a continuous focus on innovation, any company can build a powerful telecom presence with OXIO, and in addition help them glean unique customer insights like never before. Role Overview We're seeking a seasoned Sr Software Engineer with deep hands-on experience in Java,...

Senior Distinguished Engineer - Card Tech (Remote-Eligible) As a Sr. Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You...

Senior Distinguished Engineer (Remote-Eligible) As a Sr. Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. The Senior Distinguished Engineer will operate end to end to enable Capital One credit cards on the next generation credit card processing system. You will play a key role in designing and implementing solutions and platforms that power our business from credit card issuance to settlements. You will help drive innovation and shape the future of credit card processing and unlock value for Capital One customers. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide...

Location Canada, United States Employment Type Full time Location Type Remote Department Engineering OXIO is the world’s first telecom-as-a-service (TaaS) platform. We are democratizing telecom and making it easily accessible for brands and enterprises to fully own and operate proprietary mobile networks designed to support their own customers needs. Our TaaS solution combines multiple existing networks into one single platform that can be seamlessly managed in the cloud as a modern SaaS offering. And it gets better - with full network access comes unparalleled business intelligence and insights to help enterprises better understand customer and machine (M2M) behavior. With a continuous focus on innovation, any company can build a powerful telecom presence with OXIO, and in addition help them glean unique customer insights like never before. Role Overview We're seeking a seasoned Sr Software Engineer with deep hands-on experience in Java,...

Become a part of our caring community and help us put health first We are seeking a Lead Automation Engineer to establish and guide a sophisticated quality and test automation function for a large-scale, real-time decisioning platform. This platform delivers personalized recommendations and actions across digital, call-center, and marketing channels through a combination of stateful logic, business rules, and machine learning. This position extends beyond conventional test automation. You will spearhead the adoption of AI-driven and agentic automation methods to validate intricate decision logic, broaden coverage for edge cases, and enhance system confidence where accuracy, explainability, and reliability are essential. Key Responsibilities Automation Strategy & Architecture Develop and own the comprehensive automation strategy for a distributed, real-time decisioning platform, including: API and service-level validation Stateful workflow and...

About the Team STR's Intelligence Division researches and develops advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data science, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face. Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must operate under challenging constraints not typically found in the commercial world. The tools and technologies we develop have real world impact and US Government analysts use them to extract and enrich intelligence information around the globe. The Role:...

Distinguished Engineer - Network Connectivity (Remote-Eligible) As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You...

About Payscale Payscale is the original compensation innovator for organizations who want to scale their business with pay and transform their largest investment into their greatest advantage. With decades of innovation in sourcing reputable data and developing AI-powered tools, Payscale delivers actionable insights that turn pay from a cost to a catalyst. Its suite of solutions — Payfactors, Marketpay, and Paycycle — empower 65% of the top companies in the U.S. and businesses like Panasonic, ZoomInfo, Chipotle, Quest Diagnostics, University of Washington, American Airlines, and TJX Companies. Create confidence in your compensation. Payscale. To learn more, visit www.payscale.com. Job Summary Are you passionate about empowering teams to make data-driven decisions? Do you find yourself excited about the possibilities that more data can unlock? Payscale is seeking an engineer to join our Data Engineering Team. Our team focuses on enabling fast, accurate, and reliable...

About the Team STR's Intelligence Division researches and develops advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data science, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face. Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must operate under challenging constraints not typically found in the commercial world. The tools and technologies we develop have real world impact and US Government analysts use them to extract and enrich intelligence information around the globe. The Role:...

Job Requisition ID # 26WD94805 Senior Principal Machine Learning Engineer, Foundational Models Position Overview Autodesk is transforming the Architecture, Engineering, and Construction (AEC) industry by embedding advanced AI and foundation models into cloud-native platforms such as AutoCAD, Revit, Construction Cloud, and Forma. As a Senior Principal Machine Learning Engineer, you will act as a technical leader and delivery owner for complex, high-impact ML initiatives spanning foundation models, reinforcement learning, data systems, and large-scale ML platforms. You will operate at the intersection of applied research, engineering, and product-setting technical direction while remaining hands-on in the areas of highest complexity and risk. This role is designed for a senior ML tech lead with a proven track record of owning and delivering ML systems at scale, including training and operating models in large, distributed environments. Reporting: ML...

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for Amazon. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice. Description Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to these questions and you'll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers experiences in ways we can't even image yet. We invent new improvements...

Sr. Distinguished Engineer Overview: As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You’ll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology. What you’ll do in the role: Deliver ML models...

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy a robotaxi service. We are looking for a Senior Machine Learning Engineer to join our team to help improve our automated testing and validation processes. This role is centered on applying cutting-edge machine learning to develop and enhance our validation processes. You will be instrumental in improving the efficiency and scalability of our testing by sampling across massive datasets where traditional methods no longer suffice. By working with both real-world fleet logs and synthetic data, your work will directly impact how we validate software changes and ensure our robotaxi service is both safe and reliable. Your work will also significantly contribute to the speed and efficiency of our validation process, allowing Zoox to go fast and achieve more. You will be part of an organization with strong leadership and a transparent, respectful culture that enables...

Job Requisition ID # 26WD94805 Senior Principal Machine Learning Engineer, Foundational Models Position Overview Autodesk is transforming the Architecture, Engineering, and Construction (AEC) industry by embedding advanced AI and foundation models into cloud-native platforms such as AutoCAD, Revit, Construction Cloud, and Forma. As a Senior Principal Machine Learning Engineer, you will act as a technical leader and delivery owner for complex, high-impact ML initiatives spanning foundation models, reinforcement learning, data systems, and large-scale ML platforms. You will operate at the intersection of applied research, engineering, and product-setting technical direction while remaining hands-on in the areas of highest complexity and risk. This role is designed for a senior ML tech lead with a proven track record of owning and delivering ML systems at scale, including training and operating models in large, distributed environments. Reporting: ML...

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy a robotaxi service. We are looking for a Senior Machine Learning Engineer to join our team to help improve our automated testing and validation processes. This role is centered on applying cutting-edge machine learning to develop and enhance our validation processes. You will be instrumental in improving the efficiency and scalability of our testing by sampling across massive datasets where traditional methods no longer suffice. By working with both real-world fleet logs and synthetic data, your work will directly impact how we validate software changes and ensure our robotaxi service is both safe and reliable. Your work will also significantly contribute to the speed and efficiency of our validation process, allowing Zoox to go fast and achieve more. You will be part of an organization with strong leadership and a transparent, respectful culture that enables...

Come be a part of Red Hat's charge to democratize AI with open source! Red Hat's Global Engineering Team is looking for a Principal Software Engineer to join our newly formed AI Engineering organization. About The Team This role will be located within the AI Innovation team in Red Hat AI Engineering, which leads frontier AI research in Red Hat and drives innovation for Red Hat's AI Portfolio. The AI Innovation Team conducts customer- and science-driven research and productizes outcomes via open-source software. Our focus is on bridging the gap between cutting-edge research and production by productizing research papers (often featured in top AI conferences like NeurIPS, ICLR and ICML) onto the Red Hat AI platform. We operate as an open organization where contributions are valued and expected from all levels. About The Role You will serve as a technical bridge between AI algorithms and the Red Hat AI platform. This is not just an execution role; it is a technical...

Job Summary Are you passionate about advancing the frontiers of efficient AI? Do you enjoy turning theoretical insights into practical tools that power large-scale machine learning systems? Are you excited by the challenge of scaling, compressing, and accelerating state-of-the-art models? We are looking for a Senior Machine Learning Research Engineer with a strong research background and hands-on experience in building and optimizing deep learning models. In this role, you will explore and develop cutting-edge techniques in model compression and post-training optimization, including pruning, quantization, knowledge distillation, and speculative decoding. You will help design and evaluate novel algorithms that bridge theory and real-world deployment. This is a unique opportunity to work at the intersection of applied research and high-performance machine learning systems, where your contributions can lead to publications, open-source tools, and deployment in production...

Job Description The role requires a deep understanding of AI services, industry hyperscalers including infrastructure, data management, and distributed applications, as well as a proficiency in tools used to manage services in cloud environments. The ideal candidate will be comfortable architecting and deploying cloud-native and hybrid applications using native services and components on major hyperscaler platforms. Mission This person will play a crucial role in developing service innovation, optimizing processes, and delivering insights that empower the organization to make informed, data-driven decisions. They are passionate about cloud enterprise architecture and is collaborative and driven to apply their technical skills to real-world applications. This role will contribute to portfolio management and business development of Oracle Customer Success Services offerings for our customers that feature the latest Oracle technologies and capabilities. The architect will...

Come be a part of Red Hat's charge to democratize AI with open source! Red Hat's Global Engineering Team is looking for a Principal Software Engineer to join our newly formed AI Engineering organization. About The Team This role will be located within the AI Innovation team in Red Hat AI Engineering, which leads frontier AI research in Red Hat and drives innovation for Red Hat's AI Portfolio. The AI Innovation Team conducts customer- and science-driven research and productizes outcomes via open-source software. Our focus is on bridging the gap between cutting-edge research and production by productizing research papers (often featured in top AI conferences like NeurIPS, ICLR and ICML) onto the Red Hat AI platform. We operate as an open organization where contributions are valued and expected from all levels. About The Role You will serve as a technical bridge between AI algorithms and the Red Hat AI platform. This is not just an execution role; it is a technical...

Distinguished Machine Learning Engineer Overview: As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You’ll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology. What you’ll do in the role:...