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.

Sr. Marketing Project Manager (Flexible Hybrid)

Company: Fannie Mae

Location: Washington, DC

Posted Jan 24, 2025

Fannie Mae is seeking a Sr. Marketing Project Manager (Flexible Hybrid) with 3-5 years of relevant experience. The role involves project management, audience expertise, business insight, effective communication, strategy development, and cross-functional collaboration. The ideal candidate should have experience in multifamily loan products, B2B financial services, or the mortgage industry. Skills in Excel, PowerPoint, and PowerBI are desired. Fannie Mae offers a diverse and inclusive workplace with comprehensive benefits.

Director of Public Sector Enablement

Company: Meta

Location: Washington, DC

Posted Jan 24, 2025

Cybersecurity Sales Engineer / Solutions Consultant ( Healthcare / DMV )

Company: Palo Alto Networks

Location: Washington, DC

Posted Jan 24, 2025

Palo Alto Networks is a cybersecurity company dedicated to being the partner of choice, protecting the digital way of life. They value innovation, disruption, and collaboration, with a focus on shaping the future of cybersecurity. The Solutions Consultant role involves providing technical leadership, defining solutions for customers' security transformation, and meeting sales quotas. The company offers comprehensive benefits, including FLEXBenefits, mental and financial health resources, and personalized learning opportunities. They are committed to diversity and equal opportunity, and expect employees to actively participate in the Solutions Consultant community and industry events.

Enterprise Account Executive, Corporates-northeast

Company: Thomson Reuters

Location: Washington, DC

Posted Jan 24, 2025

This role involves developing account plans for new and existing accounts, prospecting new customers, managing major accounts, meeting sales goals, collaborating cross-functionally, building relationships, maintaining Salesforce records, and engaging in direct client meetings. The ideal candidate should have experience selling complex software solutions to large enterprises, a growth mindset, and the ability to work with teams across different departments. Thomson Reuters offers comprehensive benefits, a globally recognized culture, learning and development opportunities, social impact initiatives, and purpose-driven work. The target total cash compensation range is $178,500 - $331,500.

Strategic Compliance Program Manager

Company: Meta

Location: Washington, DC

Posted Jan 24, 2025

Senior Operations Associate

Company: Indivisible Project

Location: Washington DC

Posted Jan 24, 2025

The Senior Operations Associate supports remote and office operations, including office management, contracts, legal finance, events, and basic IT. They work independently and collaboratively, demonstrating strong communication, problem-solving, and organizational skills. Responsibilities include managing travel and operations systems, coordinating DC operations, planning events, managing correspondence, and leading knowledge management. They also handle IT and software management, contracts management and finance, and contribute to organizational culture. Required qualifications include experience in an administrative role, process optimization, communication, interpersonal skills, analytical skills, time management, organizational skills, and troubleshooting. Desired qualifications include inventory management experience, project management, system operation experience, and contract management experience.

Site Director - Washington D.C.: 2024-3283

Company: The Headfirst Companies

Location: Washington, DC

Posted Jan 24, 2025

The Site Director, a dynamic and professional leader, manages a team of onsite staff and campers aged 3-12. Responsibilities include leading by example, managing camper behavior, coaching staff, and overseeing camp logistics. The role requires at least three years of relevant experience, certification in First Aid & CPR, and Medication Administration (for Oakton, VA site). The Director must be physically capable of working in various environments and conditions, and committed to the Cell-Phone Free policy.

Data Engineer, Product Analytics

Company: Meta

Location: Washington, DC

Posted Jan 24, 2025

As a Data Engineer at Meta, you will have the opportunity to shape the future of people-facing and business-facing products across Facebook, Instagram, Messenger, WhatsApp, Reality Labs, and Threads. You will collaborate with various teams to design and build scalable data solutions, optimizing growth, strategy, and user experience for billions of users and hundreds of millions of businesses. The role involves conceptualizing data architecture, creating data models, ensuring data security and quality, and influencing product development with data-driven insights. Meta offers a competitive salary, benefits, and opportunities for career growth in data engineering.

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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