Machine Learning Jobs in Washington DC

25,829 open positions · Updated daily

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.

HR SPEC (MILITARY)

Company: Department of the Army - U.S. Army Medical Command

Location: Joint Base Lewis-McChord, Washington Joint Base Lewis-McChord, Washington

Posted Jun 08, 2024

View Details Apply on usajobs.gov

IT Specialist (Internet/Applications Software)

Company: Other Agencies and Independent Organizations - U.S. Agency for Global Media

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

Posted Jun 08, 2024

View Details Apply on usajobs.gov
comprehensive total rewards package robust academic performance life changing solutions

Data Science Associate Consultant

Company: ZS

Location: Washington DC

Posted Jun 08, 2024

ZS is a global healthcare transformation firm that values its employees. They offer a collaborative environment where individuals can drive impact and work on life-changing solutions. The company's Insights & Analytics group designs and delivers advanced analytical solutions to clients. They seek a PhD or master's degree holder with robust quantitative skills, big data knowledge, and proficiency in programming languages. ZS provides comprehensive benefits, flexible work arrangements, and opportunities for professional growth.

View Details Apply on BuiltIn

PHYSICAL SECURITY SPECIALIST (ARTIFICIAL INTELLIGENCE)

Company: Legislative Branch - U.S. Capitol Police

Location: Washington DC

Posted Jun 08, 2024

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Executive Officer

Company: Department of Health and Human Services - Office of the Secretary of Health and Human Services

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

Posted Jun 08, 2024

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Deputy Chief Human Resources Officer #5440

Company: Legislative Branch - Senate

Location: Washington DC

Posted Jun 08, 2024

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accelerate cures for diseases high performing organization improve health globally and personally

Software Developer (Python)

Company: NIH-NCBI

Location: Washington DC

Posted Jun 08, 2024

Black Canyon Consulting is seeking a Software Developer to support the National Center for Biotechnology Information (NCBI). The Jr Software Developer will work on implementing indexing recommendations and improving the NLM Medical Text Indexer pipeline. The company offers competitive benefits, including medical coverage, tuition reimbursement, and paid holidays.

View Details Apply on BuiltIn

Senior Technology Contract Analyst #5475

Company: Legislative Branch - Senate

Location: Washington DC

Posted Jun 08, 2024

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Director Office of National Disaster Medical System

Company: Department of Health and Human Services - Administration for Strategic Preparedness and Response

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

Posted Jun 08, 2024

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eDiscovery Specialist, CG-0301-11/12 (Term Appointment NTE 4 Years)

Company: Other Agencies and Independent Organizations - Federal Deposit Insurance Corporation

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

Posted Jun 08, 2024

View Details Apply on usajobs.gov

Education and Sentencing Practice Helpline Specialist

Company: Judicial Branch - U. S. Sentencing Commission

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

Posted Jun 08, 2024

View Details Apply on usajobs.gov

VENDING MACHINE ATTENDANT A04

Company: Department of the Navy - U.S. Marine Corps

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

Posted Jun 08, 2024

View Details Apply on usajobs.gov

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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