Learn More About This Jobs in Washington DC

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Looking for Learn More About This jobs in Washington DC? Browse our curated listings with transparent salary information to find the perfect Learn More About This position in the Washington DC area.

Director, Regulatory Risk and Governance

Company: Capital One

Location: Washington DC

Posted Feb 01, 2025

Capital One is seeking a Director for Regulatory Risk and Governance. The role involves leading a team to assess and implement new and updated laws and regulations affecting Enterprise Services. The candidate will partner with compliance, legal, and line of business professionals to review and assess the applicability of new or changed laws and regulations to diverse ES businesses. The role requires big picture thinking, strategic direction, and partnering across teams to develop best-in-class industry risk solutions. The successful candidate will be an experienced risk management professional with strong analytical, planning, strategic thinking, organizational, and communication skills.

Manager, Product Management - Fraud (US Card)

Company: Capital One

Location: Washington DC

Posted Feb 01, 2025

Capital One's Fraud Product team is seeking a Product Manager for two key areas: Authentication & Verification and Payment Fraud Decisioning. The role involves driving the roadmap and delivery for real-time intelligent authentication experiences, determining strategy for pooling and reusing authentication tools, building a 101 Learning of the Authentication and Verification Space, outlining CX pain points, and managing a Senior Associate. The Product Manager will also lead a tech team, own feature and capability delivery, partner with data science teams, and collaborate with partner teams. Key qualifications include intellectual curiosity, communication and influencing skills, being a doer, passionate and customer-focused, a learner, and a team player. Basic qualifications include a Bachelor's Degree or military experience and at least 3 years of product management experience or experience in product design, agile delivery, business analysis, data science, or software engineering.

Principal Associate, Security Intelligence Analyst

Company: Capital One

Location: Washington DC

Posted Feb 01, 2025

Capital One's Global Workplace Services GWS team is seeking a Principal Associate Security Intelligence Analyst. The role involves collecting, analyzing, and interpreting security risk intelligence information to support the Protective Intelligence program. Responsibilities include providing near real-time intelligence support, conducting comprehensive risk assessments, and contributing to the production of intelligence products. The ideal candidate will have a high level of skill in OSINT techniques, experience in intelligence analysis, and the ability to work independently and proactively. The role requires at least 3 years of experience in intelligence gathering, intelligence database search tools, intelligence analysis, or a combination of the three, and at least 3 years of experience with open source intelligence data collection, data mining, and investigative techniques. The minimum annual salary for this role is $102,700 in McLean, VA.

Technical Account Manager

Company: Everbridge

Location: Washington DC

Posted Feb 01, 2025

Everbridge, a rapidly growing US company, is seeking an experienced Technical Account Manager (TAM) to support large clients internationally. The TAM will represent Everbridge as a member of the client's business continuity team, providing project management, technical consultancy, system design, and configuration support, and training. The TAM will also act as a customer advocate within Everbridge and an escalation point when necessary. The role requires excellent communication and customer management skills, and the ability to work in a fast-paced environment. The estimated salary ranges from $118,000 to $140,000, and Everbridge offers comprehensive employee benefits.

Senior Engineer, DevOps (R3033)

Company: Shield AI

Location: Washington DC

Posted Feb 01, 2025

Shield AI, a venture-backed defense technology company founded in 2015, is seeking a DevOps engineer to integrate their autonomy AI factory and tooling into new and existing cloud or air-gapped on-prem environments. The role involves supporting CICD, managing JFrog Artifactory, ensuring proper validation and deployment, coordinating with engineering and test teams, and solving challenging problems. The ideal candidate should have 3+ years of experience with the Atlassian suite, GitLab, or similar DevOps environments, and a solid understanding of Linux/Unix-based systems. A Bachelor's or Master's degree in Computer Science or a related field is required, along with a demonstrated record of working hard, being a trustworthy teammate, and having experience debugging and troubleshooting deployed distributed problems. US citizenship is required due to the need for a security clearance. The company offers a competitive total package, including salary, bonus, benefits, and equity for regular employees, and an international benefits package for roles based outside the US.

Frequently Asked Questions

What are the typical salary ranges for Learn More About This roles at different seniority levels?
Entry‑level positions start around $90,000–$120,000. Mid‑level roles range $120,000–$160,000. Senior experts earn $160,000–$220,000, while Lead or Principal positions can reach $220,000–$300,000.
Which technical skills and certifications are most valued for Learn More About This positions?
Proficiency in Python, TensorFlow, PyTorch, and Hugging Face Transformers is essential. Cloud AI expertise with AWS SageMaker, GCP Vertex AI, or Azure Machine Learning is highly sought. Certifications such as AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, and Microsoft Certified: Azure AI Engineer Associate give a competitive edge.
Can I work remotely in Learn More About This roles?
Yes—over 70% of listings offer fully remote or hybrid arrangements, especially for research and engineering positions. Many employers provide flexible schedules and advanced collaboration tools to support distributed teams.
What career progression paths exist for Learn More About This professionals?
Typical trajectories move from Junior ML Engineer → Senior ML Engineer → Lead Data Scientist → Principal AI Researcher → VP of AI. Each step involves deeper research responsibilities, larger project ownership, and strategic influence over product direction.
What are the current industry trends shaping Learn More About This?
Key trends include reinforcement learning for autonomous decision systems, large‑language‑model scaling, edge AI deployment, federated learning for privacy, and a growing focus on AI ethics and explainability. Companies are investing heavily in LLM‑based APIs and real‑time inference on edge devices.

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