Machine Learning Jobs in Washington DC

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

Document Analyst

Company: Judicial Branch - U. S. Sentencing Commission

Location: Washington, District of Columbia Washington, District of Columbia

Posted Jun 08, 2024

The U.S. Sentencing Commission is hiring Document Analysts for the Office of Research and Data. The role involves analyzing electronic sentencing documents, extracting sentencing data, and entering it into an electronic database. Mandated qualifications include knowledge of sentencing documents, federal sentencing guidelines, and data processing experience. Preferred qualifications include a degree in criminology, sociology, or related fields. Benefits include federal health, dental, vision, life insurance, retirement plans, and flexible work schedules. The Commission offers training opportunities and is located near Union Station in Washington DC.

Computer Scientist

Company: Department of Transportation - Federal Aviation Administration

Location: Washington, District of Columbia Washington, District of Columbia

Posted Jun 08, 2024

Education Specialist

Company: Judicial Branch - Judicial Branch - Agency Wide

Location: Washington, District of Columbia Washington, District of Columbia

Posted Jun 08, 2024

Frequently Asked Questions

What are typical salary ranges for ML roles at different seniority levels?
Junior ML Engineers earn $90k–$120k annually, mid‑level engineers $120k–$160k, senior engineers $160k–$220k, and lead or principal ML roles can reach $220k–$300k+. In large tech firms, the upper end can exceed $350k when including equity, while early‑stage startups may offer lower base but higher stock options.
What skills and certifications are required for ML positions?
Core expertise includes Python, Jupyter, TensorFlow, PyTorch, scikit‑learn, and SQL. MLOps proficiency with Docker, Kubernetes, and cloud services (AWS SageMaker, GCP AI Platform, Azure ML) is essential for production roles. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, and Google Cloud Professional Machine Learning Engineer can validate knowledge and accelerate hiring.
Are ML jobs available for remote work?
Yes, many ML positions are fully remote or hybrid. Companies like Scale AI, Databricks, and Cohere offer remote‑first policies. Remote work requires high‑speed internet, secure VPN access, and collaboration via tools like JupyterHub, Slack, and Asana, but it also expands the geographic talent pool.
What career progression paths exist in ML?
Typical paths start as ML Engineer or Data Scientist, advance to Senior ML Engineer, Lead Data Scientist, or Research Scientist, then transition into managerial roles such as ML Manager, Director of AI, or VP of Data & AI. Progression hinges on building a strong portfolio, publishing research, mentoring junior teammates, and mastering cross‑functional skills like product strategy and ethics.
What are current industry trends shaping ML careers?
Edge AI and federated learning are driving demand for on‑device models; AutoML platforms reduce time to deployment; responsible AI frameworks (e.g., IBM AI Fairness 360) shape compliance roles; reinforcement learning is expanding into robotics; and interpretability tools like SHAP and LIME are becoming standard in regulated sectors such as finance and healthcare.

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