17 senior machine learning software engineer jobs found in Topeka

Sr. Distinguished, Data Engineer - Enterprise Data Storage and Consumption Platforms Data Engineer - Remote-Eligible Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. About the Team: You will join the Data Storage & Consumption Platform team within Enterprise Data, serving as a Senior Director-level Individual Contributor (IC). This role demands a visionary and hands-on leader to drive the technical strategy for consumption platforms leveraged by all lines of business. Your focus is on maturing platform scalability, Operational Excellence, Performance, and Resiliency. We require deep...

Overview At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex,?real-world?threats to our nation and the world. The AI and Data Analytics Division, part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working...

Overview At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex,?real-world?threats to our nation and the world. The AI and Data Analytics Division, part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working...

Job Description Role Summary As a Senior Software Engineer (IC3), you will be responsible for developing AI powered services that scale our OCI operations. You will work with other senior engineers to implement scalable services/applications, automate deployment processes, and support operational excellence in production environments. This is a hands-on role suited for engineers eager to grow in distributed systems and AI infrastructure engineering that proactively manage cloud environments, enhance operational excellence, and deliver world-class customer experiences. If you're passionate about solving complex technical challenges and shaping the future of the autonomous cloud, this is your moment. Why Join Us Gain hands-on experience with cutting-edge AI and cloud infrastructure Collaborate with experienced engineers and scientists across OCI Work in a supportive environment with strong opportunities for learning and career growth Help shape...

Job Description Our Mapping organization is building national-scale, next-generation mapping systems that move beyond static HD maps toward automated, ML-driven map reconstruction pipelines powered by onboard sensor data. These systems form a critical foundation for localization, perception, simulation, and autonomy at scale. The Role We are looking for a Staff Machine Learning Engineer to serve as a technical leader for automated map reconstruction within our Mapping Engineering team. In this role, you will architect and deliver end-to-end ML and computer vision pipelines that reconstruct, validate, and maintain map primitives (e.g., lanes, boundaries, traffic controls, signs) from large-scale sensor data. Your work will directly power next-generation maps that operate reliably across national deployments and evolving road conditions. This is a hands-on technical leadership role. You will operate with high autonomy, define technical strategy in ambiguous problem...

Job Description Role Summary As a Senior Software Engineer (IC3), you will be responsible for developing AI powered services that scale our OCI operations. You will work with other senior engineers to implement scalable services/applications, automate deployment processes, and support operational excellence in production environments. This is a hands-on role suited for engineers eager to grow in distributed systems and AI infrastructure engineering that proactively manage cloud environments, enhance operational excellence, and deliver world-class customer experiences. If you're passionate about solving complex technical challenges and shaping the future of the autonomous cloud, this is your moment. Why Join Us Gain hands-on experience with cutting-edge AI and cloud infrastructure Collaborate with experienced engineers and scientists across OCI Work in a supportive environment with strong opportunities for learning and career growth Help shape...

Job Description Our Mapping organization is building national-scale, next-generation mapping systems that move beyond static HD maps toward automated, ML-driven map reconstruction pipelines powered by onboard sensor data. These systems form a critical foundation for localization, perception, simulation, and autonomy at scale. The Role We are looking for a Staff Machine Learning Engineer to serve as a technical leader for automated map reconstruction within our Mapping Engineering team. In this role, you will architect and deliver end-to-end ML and computer vision pipelines that reconstruct, validate, and maintain map primitives (e.g., lanes, boundaries, traffic controls, signs) from large-scale sensor data. Your work will directly power next-generation maps that operate reliably across national deployments and evolving road conditions. This is a hands-on technical leadership role. You will operate with high autonomy, define technical strategy in ambiguous problem...

Job Description The Senior AI/ML Software Engineer is responsible for evaluating, integrating, and optimizing cutting-edge technologies for AI/ML infrastructure, focusing on achieving low latency, high throughput, and efficient resource utilization for both model training and inference at scale. This role guides key strategic decisions related to Oracle Cloud's AI infrastructure offerings, spearheads the design and implementation of scalable orchestration for AI/ML workloads-incorporating the latest research in generative AI and large language models-and leads initiatives such as Retrieval-Augmented Generation and model fine-tuning. The ideal candidate will design and develop scalable, GPU-accelerated AI services using tools like Kubernetes and Python/Go, and must possess strong programming skills, deep expertise in deep learning frameworks, containerization, distributed systems, and parallel computing, along with a comprehensive understanding of end-to-end AI/ML workflows....

Job Description The Senior AI/ML Software Engineer is responsible for evaluating, integrating, and optimizing cutting-edge technologies for AI/ML infrastructure, focusing on achieving low latency, high throughput, and efficient resource utilization for both model training and inference at scale. This role guides key strategic decisions related to Oracle Cloud's AI infrastructure offerings, spearheads the design and implementation of scalable orchestration for AI/ML workloads-incorporating the latest research in generative AI and large language models-and leads initiatives such as Retrieval-Augmented Generation and model fine-tuning. The ideal candidate will design and develop scalable, GPU-accelerated AI services using tools like Kubernetes and Python/Go, and must possess strong programming skills, deep expertise in deep learning frameworks, containerization, distributed systems, and parallel computing, along with a comprehensive understanding of end-to-end AI/ML workflows....

Job Description Work arrangement : Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times per week, at minimum. The AV Safety Engineering Analytics team is seeking and AI/ML Engineer with capabilities at the intersection of vehicle engineering, AI/ML and cloud processing. The AV Safety Engineering Analytics team is the resource supporting teams and stakeholders from around the company bring a broad range of data and analytics capabilities to bear in AV safety related decision making. This team will maintain proficiency integrating continuously flowing data from vehicle systems, company databases, third-party services, federal agencies and state DOTs to inform system design and quantify driving performance. The team focuses on continuous up-time proactive analyses as well as supporting specific investigations. If you're...

Job Description Work arrangement : Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times per week, at minimum. The AV Safety Engineering Analytics team is seeking and AI/ML Engineer with capabilities at the intersection of vehicle engineering, AI/ML and cloud processing. The AV Safety Engineering Analytics team is the resource supporting teams and stakeholders from around the company bring a broad range of data and analytics capabilities to bear in AV safety related decision making. This team will maintain proficiency integrating continuously flowing data from vehicle systems, company databases, third-party services, federal agencies and state DOTs to inform system design and quantify driving performance. The team focuses on continuous up-time proactive analyses as well as supporting specific investigations. If you're...

Location: Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY delivers unparalleled tech consulting services in data strategy, business intelligence, digital, machine learning and Artificial Intelligence. We support and enable big ideas, always with the ambitions to keep doing more. The opportunity We are seeking a Data Engineer with strong semantic data engineering capabilities - someone who can design and build modern data pipelines while also implementing semantic frameworks (ontologies, taxonomies, and knowledge graphs) that enable agentic AI and intelligent data products. In this role, you will work at the intersection of data engineering, knowledge representation, and AI enablement, helping create a context layer that allows AI systems to understand and reason...

Position Description & Qualifications Our 2026 internship opportunities are available throughout the summer in the U.S. You will work with your manager to identify the best working schedule for you, working up to 40 hours a week. Serco offers an exciting internship opportunity in the Advanced Technologies Group (ATG). ATG's AI/ML Research and Development Team is responsible for developing innovative machine learning technologies that both solve our customer's challenges and contribute to the growth of the company. As a Machine Learning Intern, you will join a dynamic team of research scientists and software engineers that develop innovative machine learning technologies to address some of the nation's most challenging problems. This is an excellent opportunity for someone who is innovative and driven by challenging technical problems. Our team develops a wide range of capabilities addressing our customer's challenges, with a focus on machine learning (ML) and...

Job Description The AI2NE Org strives to be global leaders in the RDMA cluster networking domain and enable seamless, accelerated High-Performance Compute (HPC), Artificial Intelligence and Machine Learning advancements. We envision a future where artificial intelligence and machine learning revolutionize industries, reshape societies, and unlock limitless possibilities. Our vision is to be a pioneering force, driving the development and design of state-of-the-art RDMA clusters tailored specifically for AI, ML, HPC workloads. We strive to be the go-to experts in RDMA cluster architecture, leveraging our deep understanding of the unique demands of AI/ML and HPC applications. By staying at the forefront of technological advancements, we aim to redefine the boundaries of what is possible, pushing the envelope of computational capabilities and unlocking unprecedented performance. Supports the design, deployment, and operations of a large-scale global Oracle Cloud...

Location: Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. At EY, our purpose is to shape the future. The insights and quality services we provide help build trust and confidence in the capital markets and economies all over the world. We develop outstanding leaders who are teamed to deliver our promises to all our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. The opportunity The Platforms Practice specializes in mission-critical, intelligent platforms for the world's most ambitious organizations. Using our product-driven, AI-centric approach, we empower organizations to build for the intelligent digital future. Our elite team of product leaders, data scientists, designers,...

Job Description As a Principal Data Scientist, you will play a key role in designing, building, and maintaining the data infrastructure that powers statistical analyses and machine learning initiatives for the Network Reliability Engineering organization. You will work closely with data scientists, engineers, and other stakeholders to develop and deploy scalable, efficient, and reliable ETL data pipelines that drive business value. You will also lead initiatives to improve, deliver, and enable reporting and insights. Responsibilities Design, build, and maintain large-scale ETL data pipelines to support statistical analyses and machine learning model training, testing, and deployment Collaborate with data scientists and other stakeholders to understand data needs and develop effective solutions Create comprehensive data strategies to enable reporting, analytics, and machine learning Conduct research to evaluate data and answer strategic business...

Job Description As a Principal Data Scientist, you will play a key role in designing, building, and maintaining the data infrastructure that powers statistical analyses and machine learning initiatives for the Network Reliability Engineering organization. You will work closely with data scientists, engineers, and other stakeholders to develop and deploy scalable, efficient, and reliable ETL data pipelines that drive business value. You will also lead initiatives to improve, deliver, and enable reporting and insights. Responsibilities Design, build, and maintain large-scale ETL data pipelines to support statistical analyses and machine learning model training, testing, and deployment Collaborate with data scientists and other stakeholders to understand data needs and develop effective solutions Create comprehensive data strategies to enable reporting, analytics, and machine learning Conduct research to evaluate data and answer strategic business...