Remote Machine Learning Engineer Jobs in Dacula, GA

Distinguished Engineer (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 will lead the way in creating next‐generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization.

You will specialise in a particular subject area, but your input and impact will be sought and expected throughout the organization. This role is part of the Risk Technology organization. In Risk Technology, we provide the foundation for Capital One to thrive in an uncertain world.

Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data‐driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities. In this role, you will work with our Data Platform teams who bring data from across Capital One into a single view of customers, transactions, and investigations.

These teams work with the biggest and most complicated data Capital One has, are responsible for performance, data quality, and integrity. The data sets power machine learning models and feed directly into regulatory filings. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good.

Key Responsibilities Articulate and evangelise a bold technical vision for embedding AI and automated code transformation into the developer lifecycle Decompose complex problems into practical and operational solutions Ensure the quality of technical design and implementation Serve as an authoritative expert on non‐functional system characteristics, such as performance, scalability and operability Continue learning and injecting advanced technical knowledge into our community Handle several projects simultaneously, balancing your time to maximise impact Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know‐how of our engineering and product community Ensure code is of the highest quality & standard while being an active contributor and reviewer on critical repos of the application Develop full‐stack applications with a product engineering mindset, spanning frontend and backend ecosystems that balance simplicity with flexibility Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications Bachelor's Degree At least 7 years of experience in software engineering and solution architecture At least 7 years of experience in enterprise architecture and design patterns At least 5 years of experience in cloud computing (AWS, Microsoft Azure, Google Cloud) At least 5 years of experience in data architecture including event‐driven and real‐time architectures Preferred Qualifications Bachelor's or Master's Degree in Computer Science or a related field 10+ years of professional experience coding in commonly used languages such as Java, Python, JavaScript/TypeScript Deep understanding of the SDLC and system design that accounts for highly reliable systems and highly maintainable systems Experience leading teams to improve their testing and deployment processes, and experience enhancing data products to CI/CD standards Experience applying artificial intelligence or machine learning concepts to engineering challenges (adversarial anomaly detection, test optimisation, intelligent testing) Deep practical knowledge of site reliability engineering (SRE) principles, chaos engineering and advanced observability tooling (OpenTelemetry, Prometheus, tracing) Capital One will consider sponsoring a new qualified applicant for employment authorisation for this position. Remote (Regardless of Location): $244,700 - $279,200 for Distinguished Engineer Cambridge, MA: $269,100 - $307,200 for Distinguished Engineer McLean, VA: $269,100 - $307,200 for Distinguished Engineer New York, NY: $293,600 - $335,100 for Distinguished Engineer Richmond, VA: $244,700 - $279,200 for Distinguished Engineer This role is also eligible to earn performance‐based incentive compensation, which may include cash bonus(es) and/or long‐term incentives (LTI).

Incentives could be discretionary or non‐discretionary depending on the plan. Capital One offers a comprehensive, competitive and inclusive set of health, financial and other benefits that support your total well‐being. Capital One is an equal opportunity employer (EOE, including disability and veteran) committed to non‐discrimination in compliance with applicable federal, state and local laws.

Capital One promotes a drug‐free workplace. #J-18808-Ljbffr