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.

Enterprise Analytics and Modeling - Risk Management - Lead Associate (Open to Remote)

Company: Fannie Mae

Location: Washington, DC

Posted Jan 23, 2025

Fannie Mae is seeking a Lead Associate for the Enterprise Analytics and Modeling - Risk Management team. The role involves assessing and identifying potential risks to the company's reputation, safety, security, and financial success. The successful candidate will work with key stakeholders across the enterprise, participate in AI council and working group meetings, and ensure compliance with AI/ML regulatory guidance. The ideal candidate will have at least 4 years of risk management experience, including 1 year in model risk management, and a strong background in AI/ML practices, policies, and frameworks. Excellent communication skills and the ability to work independently or within a team are essential. Fannie Mae offers a comprehensive benefits package and an inclusive work environment.

Lead Applied Scientist, IR/NLP

Company: Thomson Reuters

Location: Washington, DC

Posted Jan 23, 2025

Thomson Reuters Labs in the USA is recruiting Lead Applied Scientists with expertise in Machine Learning/NLP. The role involves designing and delivering AI solutions, innovating, and driving solution delivery. The ideal candidate should have a PhD in a relevant discipline or a Master's with extensive experience, and a proven track record in building IR/NLP systems for commercial applications. Thomson Reuters offers a comprehensive benefits package, including flexible work arrangements, mental health days, and opportunities for professional growth. The company is committed to diversity, inclusion, and creating a more transparent, just, and inclusive future.

Technology Sales Engineer - Storage

Company: IBM

Location: Washington, DC

Posted Jan 23, 2025

MuleSoft Technical Architect - Public Sector (Must reside in the Washington DC metro area)

Company: Salesforce

Location: Washington, DC

Posted Jan 23, 2025

Salesforce, the Customer Company, is seeking a Technical Architect for its Public Sector Services team. The role involves working with government customers to solve business challenges using MuleSoft's Anypoint Platform. The ideal candidate should have 6-10 years of experience leading integration teams, architecting solutions, and conducting technical workshops. They should possess a solid understanding of on-premise and cloud-based infrastructures, API and integration security, and high-availability concepts. The role offers opportunities for professional growth, innovation, and community involvement. Benefits include comprehensive health packages, training, and volunteer opportunities.

Software Engineer, Machine Learning

Company: Meta

Location: Washington, DC

Posted Jan 23, 2025

Senior Technical Implementation Consultant (Oracle ERP)

Company: Thomson Reuters

Location: Washington, DC

Posted Jan 23, 2025

Thomson Reuters is seeking a Senior Technical Implementation Consultant with 5+ years of experience in ORACLE ERP Integration and/or financial add-ons. The Principal Implementation Consultant - ERP will work closely with ONESOURCE Project Managers and Tax SME to implement ONESOURCE Determination integration software at client sites globally. The role involves serving as a primary integration interface with client tax professionals, leading business and user requirements sessions, and assisting in the analysis and delivery of ORACLE integration implementations. The ideal candidate should have excellent interpersonal and written communication skills, technical experience implementing ORACLE and/or Add-on Solutions, and experience with process analysis, design, mapping, and re-engineering. Thomson Reuters offers a comprehensive benefits package including wellbeing, culture, learning & development, social impact, and purpose-driven work.

Associate General Counsel, Product & Privacy

Company: Meta

Location: Washington, DC

Posted Jan 23, 2025

Meta is seeking a highly experienced legal counsel to advise on third-party risk management, including Meta's Developer Platform, and lead a team of four attorneys. The role involves significant cross-functional collaboration with various teams and legal subject-matter experts. The Associate General Counsel, Product & Privacy will become a subject-matter expert, review products for legal risks, provide legal advice, support Meta's global privacy program, and coordinate with multiple cross-functional teams. Minimum qualifications include a J.D. degree, active membership in a U.S. state bar, 10+ years of legal experience, and expertise in areas like litigation, regulatory, product counseling, data security, compliance programs, and/or privacy counseling. Preferred qualifications include managing other attorneys, advising on compliance and risk management programs, and proven experience in distilling complex concepts for colleagues.

Inventory Specialist

Company: Walgreens

Location: Fort Washington, PA

Posted Jan 23, 2025

Communications Director

Company: Bixal

Location: Washington, DC

Posted Jan 23, 2025

Regional Business Director - East

Company: Biogen

Location: Washington, DC

Posted Jan 23, 2025

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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