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.

Compliance Testing Senior Manager

Company: Capital One

Location: Washington DC

Posted Feb 02, 2025

Capital One is seeking a Compliance Testing Senior Manager to lead a team of professionals in ensuring Capital One processes and transactions comply with regulatory requirements. The role involves leading a multitiered Compliance Testing Team, developing and executing the Compliance Testing Calendar, and driving strategic transformation through technology solutions. The ideal candidate should have exceptional leadership skills, deep expertise in compliance and business processes, and a proven track record of driving strategic results. Basic qualifications include a Bachelor's Degree or military experience, at least 5 years of experience in Compliance Testing, Risk Management, Compliance Monitoring, or Audit, at least 5 years of people management experience, and at least 1 year of cloud data structure, data analytics, and Artificial Intelligence experience. Preferred qualifications include a Masters degree or Juris Doctorate degree, extensive knowledge or experience with consumer regulations, superb verbal and written communication skills, and compliance related certifications. The role is based in McLean, VA or Richmond, VA with a salary range of $170,800 - $194,900 or $155,300 - $177,200 respectively. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace.

Manager, Product Management - Mainstreet Customer Management

Company: Capital One

Location: Washington DC

Posted Feb 02, 2025

Capital One's Mainstreet Customer Management (MSCM) team is seeking a Product Manager to lead ML-driven marketing initiatives and expand them across Card. The role involves driving enhancements in ML experimentation, data, and messaging platforms, collaborating with marketers and BAs, and leveraging tech team tools. The ideal candidate should be human-centered, business-focused, technology-driven, and transformational, with a passion for customer-focused solutions. Basic qualifications include a bachelor's degree and 3+ years of product management experience. Preferred qualifications include a degree in Computer Science or Engineering, an MBA, and Agile product management experience. The role offers competitive compensation and benefits, with a salary range of $158,400 - $180,800 for the McLean, VA location.

Expert Technician

Company: Genex

Location: Washington DC

Posted Feb 02, 2025

Genex Systems is seeking an Expert Technician ET to support engineers in conducting research projects for the Federal Highway Administration FHWA at the TurnerFairbank Highway Research Center TFHRC. The ET will be based in the Structures Laboratory STR Lab, focusing on applied engineering research involving full-scale testing of bridges, bridge components, and other highway-related structures. Responsibilities include assisting engineers in research projects, maintaining laboratory equipment, conducting complex movements of heavy items, and performing standardized materials tests. Qualifications include a Bachelor of Science degree with two years of engineering technician experience or equivalent technical training, mechanical aptitude, basic computer skills, and familiarity with hydraulic testing systems.

Launch and Missile Systems Mechanisms Engineer - Engineering Specialist

Company: The Aerospace Corporation

Location: Washington DC

Posted Feb 02, 2025

The Aerospace Corporation is seeking a Launch and Missile Systems Mechanisms Engineer. The role involves working closely with program offices, preparing reports, providing briefings, and occasionally traveling to contractor sites. The ideal candidate will have a Bachelor's degree in a STEM field and at least 6 years of experience in launch vehicle, spacecraft, or missile program support. They should be able to evaluate moving mechanical assemblies and explosive devices, review designs, and perform independent analyses. The position requires a current TSSCI security clearance and US citizenship. The company offers a competitive compensation package, comprehensive health care, and various benefits. The Aerospace Corporation is an equal opportunity employer.

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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