ZipRecruiter

Log In

1

Temporary Meta Machine Learning Jobs in Washington, DC

Science Systems & Applications

Junior Machinist

Lanham, MD · On-site

$26 - $36/hr

This is a temporary 3-month training position designed for individuals looking to start a career in ... The Junior Machinist will be exposed to learning the following responsibilities: * Review samples ...

Sigmatech, Inc.

Data Analyst

Arlington, VA · Hybrid

Certified Scrum Master (CSM) or formal training in AI, machine learning, or advanced business ... Travel: May be required up to 25% of the time to CONUS locations for temporary duty (TDY)

Leidos

Test and Evaluation Lead

Gaithersburg, MD · On-site

$51.25 - $70/hr

Evaluate the use of AI and machine learning to improve test creation, defect prediction, anomaly ... Develop and maintain the Test and Evaluation Master Plan (TEMP), test procedures, and associated ...

WSSC Water

Data Architect

Laurel, MD · On-site

$63.25 - $81.25/hr

... if temporary) Work Schedule Monday - Friday 8:00am - 5:00pm Position Location Laurel Position ... Design data architecture to support advanced analytics, machine learning, and AI workloads for ...

next page

Showing results 1-20

All JobsTemporary Meta Machine Learning JobsTemporary Meta Machine Learning Jobs in Washington, DC

Temporary Meta Machine Learning information

See Washington, DC salary details

$15

$25

$35

How much do temporary meta machine learning jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for temporary meta machine learning in Washington, DC is $25.85, according to ZipRecruiter salary data. Most workers in this role earn between $22.31 and $28.85 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in temporary machine learning roles at Meta, and how can they be addressed?

Professionals in temporary machine learning roles at Meta often encounter challenges such as quickly acclimating to complex codebases, integrating with established teams, and delivering impactful results within a limited timeframe. Success in these roles typically requires strong technical skills, adaptability, and effective communication. Proactively seeking guidance, leveraging available documentation, and collaborating closely with permanent team members can help overcome these hurdles and maximize contributions during the temporary assignment.

What is the difference between Temporary Meta Machine Learning vs Data Scientist?

AspectTemporary Meta Machine LearningData Scientist
CredentialsTypically requires a background in computer science, statistics, or related fields; certifications in machine learning or data analysis are commonRequires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are advantageous
Work EnvironmentProject-based, often contract roles within tech companies, startups, or consulting firmsFull-time or contract roles in various industries including finance, healthcare, and tech
Industry UsagePrimarily in tech, AI, and machine learning-focused companiesWidely used across multiple industries including finance, healthcare, marketing, and tech

Temporary Meta Machine Learning roles focus on short-term projects involving machine learning model development and deployment, often requiring specialized technical skills. Data Scientist roles are broader, encompassing data analysis, statistical modeling, and insights generation across diverse industries. While both roles require strong analytical skills and technical knowledge, Temporary Meta Machine Learning positions are more specialized in AI and machine learning applications.

What are the key skills and qualifications needed to thrive as a Temporary Meta Machine Learning Engineer, and why are they important?

To thrive as a Temporary Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning, typically with experience in Python and relevant ML frameworks. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms, and version control systems is often required, along with a proven ability to rapidly learn new technologies. Strong problem-solving skills, adaptability, and effective communication are essential for collaborating within dynamic teams and meeting project goals on tight timelines. These skills ensure that you can quickly contribute to impactful ML projects, deliver results efficiently, and integrate well into fast-paced, innovative environments.

What are Temporary Meta Machine Learning jobs?

Temporary Meta Machine Learning jobs are short-term positions at Meta (formerly Facebook) that focus on developing, deploying, or researching machine learning models and technologies. These roles may support ongoing projects, fill gaps during employee leave, or address spikes in workload. Responsibilities can include data preprocessing, model training, evaluation, and collaborating with cross-functional teams. Temporary roles often give candidates exposure to Meta's cutting-edge AI tools and processes, and may sometimes lead to permanent opportunities.
What are the most commonly searched types of Meta Machine Learning jobs in Washington, DC? The most popular types of Meta Machine Learning jobs in Washington, DC are:
What are popular job titles related to Temporary Meta Machine Learning jobs in Washington, DC? For Temporary Meta Machine Learning jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Temporary Meta Machine Learning jobs in Washington, DC look for? The top searched job categories for Temporary Meta Machine Learning jobs in Washington, DC are:
Temporary Meta Machine Learning jobs near you

Director, Paid Media - Media Planning & Activation

Choice Hotels International, Inc.

North Bethesda, MD • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Job description

Job Summary
Choice Hotels International is seeking a Director, Paid Media - Media Planning & Activation to lead full-funnel paid media strategy and execution across the enterprise and segment portfolios. This role is responsible for driving performance excellence across TV/OLV/CTV, Paid Search, Metasearch/Hotel Ads, Paid Social, Programmatic Display & Video, and Affiliate Marketing. As a people leader, this role owns how paid media is planned, activated, optimized, and measured-ensuring Choice's owned digital channels deliver incremental, measurable business growth for franchisees. The Director partners closely with Brand Marketing, Analytics, Finance, Revenue Management, Technology, and agency partners to improve media efficiency, scale performance marketing capabilities, and advance modern measurement approaches. The ideal candidate is a strategic, data-driven media leader with strong judgment, a clear point of view, and a relentless focus on performance outcomes in a fast-paced, matrixed environment.
Key Responsibilities
Full-Funnel Paid Media Leadership & Strategy
  • Lead full-funnel paid media strategy and activation across Paid Search, Metasearch/Hotel Ads, Paid Social, Programmatic Display & Video, CTV/OLV, and Affiliate Marketing, with a strong emphasis on performance and incrementality.
  • Translate business and marketing objectives into integrated channel strategies, audience approaches, investment recommendations, and measurable performance expectations.
  • Establish and evolve paid media standards, best practices, and guardrails that guide planning and activation across internal teams, agencies, and partners.

Media Planning & Activation Team Leadership
  • Lead the Media Planning & Activation team, setting clear priorities, operating rhythms, and quality standards for planning, activation, optimization, and reporting.
  • Own quarterly and annual media and financial planning processes; align priorities and tradeoffs with Brand Marketing, Analytics, and Finance.
  • Coach and develop managers and individual contributors, building bench strength, planning rigor, and strong performance accountability.

Performance Management & Measurement
  • Lead performance management forums including pacing, optimization reviews, and QBRs; ensure insights are actionable and followed through.
  • Ensure reporting clearly connects paid media performance to business outcomes, risks, and recommended actions.
  • Advance measurement frameworks including incrementality testing, attribution, and media effectiveness analysis to improve decision-making.

Cross-Functional & Enterprise Impact
  • Partner closely with Brand Marketing, Analytics, Revenue Management, Finance, and Technology to enable integrated execution and decision-making across the funnel.
  • Serve as a senior subject matter expert, providing POVs, tradeoffs, and recommendations to leadership on media investment, channel mix, audience strategy, and performance drivers.

Agency & Partner Leadership
  • Act as senior client lead for paid media agencies, setting expectations, operating principles, and performance standards.
  • Orchestrate and prioritize agency partnerships across segments and channels; drive accountability for high-quality outputs and measurable impact.

Innovation & Capability Evolution
  • Lead test-and-learn initiatives and adoption of new platforms, media capabilities, and AdTech to improve full-funnel effectiveness and scalability.
  • Stay current on industry, platform, and regulatory changes; evolve strategy, measurement, and operating standards accordingly.

Qualifications
Employment Experience
  • 10+ years of experience managing enterprise-level, full-funnel paid media programs, with deep focus on Paid Search, Programmatic Display & Video, Paid Social, and Affiliate Marketing.
  • 5+ years of people leadership experience managing teams, agency partners, and large-scale budgets ($50M+ annual media spend preferred).

Technical & Functional Expertise
  • Expert-level knowledge of Paid Search (Google, Bing), Paid Social (Meta, TikTok, Pinterest, Reddit), Programmatic Display (DV360, The Trade Desk), and CTV/OLV.
  • Proficiency with ad tech and analytics platforms such as Google Marketing Platform, Adobe Analytics, and Flashtalking.
  • Strong understanding of first-party data activation, identity resolution, and audience segmentation.
  • Experience with incrementality testing, attribution models, and measurement frameworks (MMM, RBA, MTA, DDA).
  • Deep understanding of bidding strategies, automation, machine learning, and AI-driven optimizations.
  • Proven ability to scale paid media programs, improve CAC efficiency, and drive incremental revenue growth.
  • Strong analytical skills with the ability to translate complex data into clear insights and recommendations.

Leadership & Business Competencies
  • Proven ability to lead cross-functional initiatives with enterprise-wide impact.
  • Strong judgment and problem-solving skills in ambiguous, fast-moving environments.
  • Executive-ready communication skills with the ability to influence senior stakeholders in a matrixed organization.

Education
  • Bachelor's degree required or an equivalent combination of education and relevant work experience; advanced degree preferred.

Salary Range
The salary range for this position is $163,287 to $192,456 annually. In addition to the annual salary, this role is eligible for an annual bonus based on the terms of Choice's Management Incentive Plan (MIP)
Choice prioritizes our associate wellbeing by offering a comprehensive benefits program that is both competitive and flexible to help you achieve your wellbeing goals - here are just a few:
  • Competitive compensation and benefits, including medical, dental, and vision coverage
  • Leave and paid time-off for holidays, vacation, personal, family, volunteer, sick, jury duty, bereavement, military, and religious observance
  • Financial benefits for retirement and health savings
  • Employee recognition programs
  • Discounts at Choice hotels worldwide

About Choice
Choice Hotels International, Inc. (NYSE: CHH), is one of the largest lodging franchisors in the world. With 7,500 hotels in 45+ countries and territories, we offer a range of high-quality lodging options in the upper upscale, upper midscale, midscale, extended stay, and economy segments. We're the hotel company for those who choose to bet on themselves - the striver, the dreamer, the entrepreneur - because that's who we are, too.
At Choice, we are united by the simple belief that tomorrow will be even better than today - for associates, our company, and our franchisees. At our worldwide corporate headquarters in North Bethesda, Maryland, at our technology center in Scottsdale, Arizona, and through our associates around the globe, every voice is heard and every idea is listened to, no matter what area of the company they come from. We are united in supporting the entrepreneurial dreams of our thousands of franchise owners, which propels us forward - giving our work at Choice a purpose larger than our business.
Our corporate office locations:
North Bethesda, MD - Located at Pike & Rose, our worldwide headquarters is less than 15 miles from Washington, D.C., one block away from the North Bethesda Metro station, with easy access to I-495, complimentary parking, electronic charging stations, restaurants and retail.
Scottsdale, AZ - Located at the northwest corner of Loop 101, the Scottsdale office is home to our technology, eCommerce and customer service organizations, with easy access to complimentary parking, electronic charging stations, restaurants and retail.
Minneapolis, MN - Select roles are based in our Minneapolis office on Highway 394, near the intersection with Highway 100, only five minutes from downtown.
Field/Remote - Select roles designated as field/remote will require associates to work from a home office, connecting virtually with Choice team members and leadership on Zoom, with possible required travel depending on the role.
Choice's Cultural Values
Welcome and Respect Everyone | Be Bold | Be Quick | Listen | Be Curious | Show Integrity
Choice's Leadership Principles
Act with Intention | Lead with Authenticity | Grow & Deliver

Apply