44 software engineer engineer machine learning jobs found

Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who...

Senior Lead, Machine Learning (GenAI, Python, AWS) As a Capital One Senior Lead Machine Learning Engineer (MLE), you'll be part of an Agile team 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 focus on machine learning architectural design , develop and review model and application code, and ensure 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. What you'll do in the role: The MLE role overlaps with many disciplines, such as Operations, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build,...

Company : Highmark Health Job Description : JOB SUMMARY The job is an integral member of an agile software engineer team responsible for building scalable software applications across all digital channels to serve our customers. The position will be responsible for taking an enterprise-wide, architectural view of the solutions and the technical execution of products using the technical stack that best meets the needs of the platform. The position will collaborate with the internal/external clients and be involved in every aspect at part of the software application build process from ideation, business analysis, technical design and software development using the latest technologies and design patterns. A principal engineer may be accountable for a team of software engineers to drive and develop products meeting the needs of our clients and product roadmaps. ESSENTIAL RESPONSIBILITIES Lead the resolution of a variety of technical and business problems...

AI/ML Engineer Category: Software Development/ Engineering Main location: United States, Tennessee, Knoxville Alternate Location(s): United States, Louisiana, Lafayette United States, Texas, Belton United States, Virginia, Lebanon United States, Virginia, Fairfax Position ID: J0326-0098 Employment Type: Full Time Position Description: CGI is actively seeking a Senior AI/ML and Emerging Tech Expert to join our Emerging Technologies Practice and lead the design and delivery of AI driven applications across our Federal Portfolio. You will work end to end-from proofs of concept to production-partnering with solution architects, data scientists, and engineering teams to turn ideas into scalable, secure solutions. This role blends full stack engineering with modern AI/ML, integrating generative AI and advanced analytics within Azure, AWS, and GCP to achieve tangible business outcomes. If you are a creative problem solver who thrives in fast moving,...

Machine Learning Engineer (People Tech, Intelligent Foundations & Experiences) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team 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 focus on machine learning architectural design, develop and review model and application code, and ensure 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. 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 more of the following: Design,...

Job Description The Role We are looking for an ML tooling engineer to build tools to analyze and optimize distillation, training, and inference of ML models. You will develop and enhance GM's internal ML tooling for high performance software by leveraging state of the art tools like Nsight Systems, PyTorch, etc. The Autonomous Vehicle (AV) software stack heavily relies on machine learning models to perform critical driving tasks. These cutting-edge custom ML models require an ecosystem of in-house tooling to analyze and improve them. In this role, you will collaborate closely with engineers and researchers from different AV Engineering teams (e.g., Computer Vision, Perception, Behavioral Prediction) to scope out system requirements, while engaging with AV hardware teams to understand the target hardware platform and its constraints. What You'll Be Doing (Responsibilities) Identify new opportunities to improve both training and inference efficiency Build...

Lead AI Engineer (MLX) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses...

AI/ML Engineer Category: Software Development/ Engineering Main location: United States, Tennessee, Knoxville Alternate Location(s): United States, Louisiana, Lafayette United States, Texas, Belton United States, Virginia, Lebanon United States, Virginia, Fairfax Position ID: J0326-0098 Employment Type: Full Time Position Description: CGI is actively seeking a Senior AI/ML and Emerging Tech Expert to join our Emerging Technologies Practice and lead the design and delivery of AI driven applications across our Federal Portfolio. You will work end to end-from proofs of concept to production-partnering with solution architects, data scientists, and engineering teams to turn ideas into scalable, secure solutions. This role blends full stack engineering with modern AI/ML, integrating generative AI and advanced analytics within Azure, AWS, and GCP to achieve tangible business outcomes. If you are a creative problem solver who thrives in fast moving,...

Description Leidos is seeking an Applied AI/ML Engineer to support a large, mission-critical U.S. Navy program.This role focuses on designing and building AI- and machine learning-enabled performance intelligence systems that help identify operational risks, diagnose systemic performance issues, and surface improvement opportunities across complex program operations. The ideal candidate is a systems-oriented engineer with strong Python development skills and applied data science experience who enjoys working on messy real-world operational problems. Rather than performing one-off analyses, this role focuses on building durable analytical capabilities and software systems that continuously analyze performance data and enable more proactive program management . This position sits within the program's Performance Management team , supporting Service Level Requirements (SLRs) and broader Navy performance initiatives such as World Class Alignment Metrics (WAM).The...

Senior Lead AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses...

About the Team: STR’s Analytics Division develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated individuals with degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation in order to improve mission success of our customers. The Collaborative Autonomy and Control (CAC) Group in the Analytics Division works to build software systems that solve critical problems in the areas of uncrewed system autonomy, multi-agent collaboration, resource management, and control. By leveraging expertise in machine learning, algorithms, model-predictive control, and software development, we build tools that support tactical mission planning and execution, autonomous reasoning, and more. The Role: As a Senior Software Engineer, you will work as part of a tightly knit team to...

Job Description 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 will lead the way in creating next-generation...

Job Description Advanced Research Computing (ARC) provides Virginia Tech researchers with access to high-performance computing systems, data storage, visualization facilities, and expert support. We help faculty and students across all disciplines get the most out of advanced computing tools. The Research Software Engineer, AI/ML builds and maintains our AI and machine learning infrastructure. You'll deploy and optimize LLMs, set up ML platforms, and help researchers integrate AI into their workflows. This is a hands-on role where you'll tackle varied challenges across AI services and grow your skills alongside the team. You will work directly with faculty, Computational Scientists, and the rest of the ARC team to make AI tools accessible and useful for research. The role also involves leading workshops and training to help more people use AI effectively. Please note: Sponsorship is not available for this position. This is a...

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team 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 focus on machine learning architectural design, develop and review model and application code, and ensure 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. 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 more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems,...

job summary: Exciting opportunity for an experienced Software Engineer skilled in developing robust systems and solutions using Rust. The position contributes across multiple projects involving aviation communications, sensing, and network services. The role emphasizes functional-level design ownership, implementation of math- and physics-based algorithms, and on-going participation in operating the systems being built. The position will require end-to-end knowledge of the organization's Deterministic Distributed Radar airspace awareness solution. This includes overall understanding of the architecture, functional components, integration requirements, security requirements, OSS, databases, and external service integrations, such as live ADS-B feeds, digital twins for continuous improvement, machine learning or AI. The role must also support 5G Core network architecture and specific functions such as the CU, DU, FFRC, DFAS, which have been developed as part of its aviation...

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 Huntington Ingalls Industries. 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. Requisition Number: 27484 Required Travel: 0 - 10% Employment Type: Part Time/Hourly/Non-Exempt Anticipated Salary Range: $48,878.00 - $52,000.00 Security Clearance: Ability to Obtain Level of Experience: Intern This opportunity resides with Global Security (GS). Mission Technologies’ Global Security (GS) group comprises live, virtual, constructive (LVC) solutions; fleet sustainment; nuclear and environmental; and Australia business. As a trusted partner...

Requisition Number: 27484 Required Travel: 0 - 10% Employment Type: Part Time/Hourly/Non-Exempt Anticipated Salary Range: $48,878.00 - $52,000.00 Security Clearance: Ability to Obtain Level of Experience: Intern This opportunity resides with Global Security (GS). Mission Technologies' Global Security (GS) group comprises live, virtual, constructive (LVC) solutions; fleet sustainment; nuclear and environmental; and Australia business. As a trusted partner to our military customers, HII designs, develops and operates the largest LVC enterprise that prepares warfighters for cross-domain battle. With advanced technologies to enable mission readiness, HII understands that preparation requires full coordination-not readiness in piece-parts. For more than 40 years, the U.S. Navy has entrusted HII to maintain and modernize the vast majority of its fleet. With a holistic approach to life-cycle maritime defense systems-from small watercraft to submarines, surface combatants and...

Senior Manager, Machine Learning Engineering As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team 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 focus on machine learning architectural design, develop and review model and application code, and ensure 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. 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 more of the following: Design, build, and/or deliver ML models and...

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 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...

Summary: Meta is seeking talented principal engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will oversee complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in leading a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply. Required Skills: Software Engineer - Android (Technical Leadership) Responsibilities: Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient Effectively communicate complex features and systems in detail Understand...

Summary: Are you passionate about cutting-edge technology and its implementation on a global scale? This exciting role within the Edge and Network Services (ENS) Foundation team offers a unique opportunity to tackle the challenges of introducing innovative compute and networking technologies across Meta's global data centers. You will collaborate with cross-functional teams such as Production AI engineers, Network and Hardware Engineering, Data Center Connectivity, Facility Engineering/Operations, and SiteOps to execute and support ENS's repair and operational support of the largest AI clusters. This collaboration ensures that new network technologies can be deployed and managed at scale. In this role, your focus will be on network hardware within integrated AI system rack infrastructure and related IP systems. You will ensure that ENS operations processes and tooling are well-defined and executable for these new technologies. Required Skills: Data Center Network...

AI Engineer Category: Software Development/ Engineering Main location: United States, Virginia, Fairfax Position ID: J0226-2504 Employment Type: Full Time Position Description: This is an exciting full-time opportunity to work in a fast-paced environment with a team of passionate technologists. We take an innovative approach to supporting our client, working side-by-side in an agile environment using emerging technologies. As an AI Engineer, you will be working to support the client's mission and goals of building an AI application for an enterprise financial data platform. This position is located in our Arlington, VA office; however, a hybrid working model is acceptable. Your future duties and responsibilities: Demonstrate in-depth technical capabilities with the ability to support multiple work streams and drive assimilation of new techniques and solutions. Designing, developing, and implementing AI models and algorithms to address...