Machine Learning Jobs in Washington DC

Positions 25,833 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.

Psychiatric Registered Nurse (RN) 7pm-7am

Company: Brooke Glen Behavioral Hospital

Location: Fort Washington, PA

Posted Oct 01, 2025

Must have a valid driver's license. Pennsylvania (or multi-state) RN license (Required). Current license to practice nursing in PA (or eligible to receive or…

Director of Pipeline and Relationship Management

Company: Western Washington University

Location: Washington State

Posted Oct 09, 2025

Lead UA's prospect qualification efforts, driving lead generation and establishing best practices and protocols for successful program implementation.

Customer Service Associate

Company: Plymouth Rock Assurance Corporation

Location: Fort Washington, PA

Posted Sep 25, 2025

Cultivate strong relationships with our agents and partners, contributing to our collaborative work environment. Proficiency in computer skills and data entry.

Aerospace Machinist

Company: Atlas Staffing

Location: Washington State

Posted Sep 18, 2025

Two-year technical degree in a related field (preferred). Utilizing machinist’s hand tools and precision measuring instruments to ensure compliance with…

Frequently Asked Questions

What are typical salary ranges by seniority for machine learning roles?
Entry‑level ML Engineer: $90k–$120k; Mid‑level ML Engineer or Data Scientist: $120k–$160k; Senior ML Engineer or Research Scientist: $160k–$220k; Lead ML Engineer or Principal Research Scientist: $200k–$280k; AI Product Manager: $130k–$180k depending on experience and market.
What skills and certifications are most valuable in machine learning today?
Core language: Python; Deep learning frameworks: TensorFlow, PyTorch; Scikit‑learn for classical models; SQL and NoSQL databases for data ingestion; Docker and Kubernetes for deployment; Cloud AI services such as AWS SageMaker, GCP Vertex AI, Azure ML. Certifications: TensorFlow Developer Certificate, AWS Certified Machine Learning – Specialty, GCP Professional Machine Learning Engineer.
How common is remote work for machine learning positions?
Over 70% of ML roles allow full remote or hybrid arrangements. Startups and fintech firms tend to offer 100% remote options, while larger enterprises often provide hybrid models with occasional on‑site data‑center visits. Remote work is especially prevalent for roles focused on model training and research.
What career progression paths exist in machine learning?
Typical paths: ML Engineer → Senior ML Engineer → Lead ML Engineer → ML Manager; Data Scientist → Senior Data Scientist → Lead Data Scientist → Head of Data; Research Scientist → Senior Research Scientist → Principal Scientist → Chief Data Scientist; ML Ops Engineer → Senior ML Ops Engineer → Lead ML Ops Engineer → Director of MLOps. Progression often involves moving from coding to architecture, then to leadership and strategy.
What are the current industry trends shaping machine learning hiring?
Key trends: reinforcement learning for autonomous systems; federated learning for privacy‑preserving models; edge AI for IoT devices; AutoML platforms speeding model deployment; MLOps practices for scalable pipelines; explainable AI and ethics compliance; and increased demand for AI governance roles.

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