Qualified Applicants Opportunities Jobs in Washington DC

81,626 open positions · Updated daily

Looking for Qualified Applicants Opportunities jobs in Washington DC? Browse our curated listings with transparent salary information to find the perfect Qualified Applicants Opportunities position in the Washington DC area.

T2 Systems Engineer

Company: BryceTech

Location: Washington DC

Posted Feb 02, 2025

BryceTech is seeking a mid to senior level systems engineer with extensive experience in satellite systems, including knowledge of RFLink16S band, SV payloads, and SATCOM. The ideal candidate should have a strong technical background, understanding of the entire satellite acquisition process, and experience in a fast-paced dynamic environment. The role involves providing technical advice, contributing to system designs, and overseeing integration and test of satellites into the ground system network. The company offers competitive benefits and requires a TS Security Clearance.

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.

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 Qualified Applicants Opportunities by seniority?
Entry‑level AI/ML roles usually pay between $90,000 and $120,000 annually. Mid‑level positions range from $120,000 to $160,000, while senior roles can command $160,000 to $200,000. Lead or manager positions often exceed $200,000, reaching up to $250,000 in high‑cost‑of‑living markets or for highly specialized expertise.
What skills and certifications are required for these positions?
Core technical skills include Python, R, SQL, and statistical libraries. Proficiency with TensorFlow, PyTorch, scikit‑learn, and cloud‑native AI services (AWS SageMaker, Azure ML, GCP AI Platform) is essential. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, GCP Professional Data Engineer, and Kaggle Distinction demonstrate mastery and are highly valued.
Is remote work available for Qualified Applicants Opportunities?
Yes, approximately 80% of listings list remote or hybrid arrangements. Remote teams rely on tools like Slack, GitHub, MLflow, and cloud notebooks (Colab, SageMaker Studio) to collaborate across time zones while maintaining code quality and version control.
What career progression paths exist in this field?
Typical progression starts with a Data Analyst or Junior Data Scientist, advancing to Senior Data Scientist or ML Engineer. From there, professionals can move into Lead ML Engineer, AI Architect, or Director of AI/ML, often taking on strategic product direction and cross‑functional leadership responsibilities.
What industry trends are shaping Qualified Applicants Opportunities?
Key trends include the rise of edge AI for IoT devices, federated learning for privacy‑preserving models, increased focus on AI ethics and explainability, and the rapid deployment of AI in healthcare diagnostics and drug discovery. Companies are also investing in automated ML pipelines and no‑code AI platforms to democratize model development.

Related Pages