1

Temporary Meta Machine Learning Jobs in Virginia

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Senior AI/ML Engineer

Great Falls, VA · Remote

$105K - $145K/yr

... has a temporary work visa. * Bachelor's degree in Computer Science, Engineering, or a related ... Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, and ...

Imagery Anst Sr

Sterling, VA · On-site

$97K - $164K/yr

Experience working with or developing Machine Learning algorithms for exploiting overhead imagery ... Temporary employees generally are not eligible for BAE Systems benefits, but can elect to ...

... associated meta model, common business vocabulary and taxonomies • Hands on experience in ... to applying machine learning/statistical models on large/enterprise-grade data • Working ...

New Hire Utility Operator As a New Hire Utility Operator, you will be responsible for learning to ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

Business Intel Anst Prin

Reston, VA · On-site

$118K - $200K/yr

... machine learning. As a Technology Innovation Specialist, you will be responsible for leading and ... Temporary employees generally are not eligible for BAE Systems benefits, but can elect to ...

IT Sys Arch Sr Prin II

Sterling, VA · On-site

$149K - $254K/yr

... machine learning, and cloud computing), to architect and lead the implementation of collection ... Temporary employees generally are not eligible for BAE Systems benefits, but can elect to ...

next page

Showing results 1-20

Temporary Meta Machine Learning information

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 Virginia? The most popular types of Meta Machine Learning jobs in Virginia are:
What are popular job titles related to Temporary Meta Machine Learning jobs in Virginia? For Temporary Meta Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Temporary Meta Machine Learning jobs in Virginia look for? The top searched job categories for Temporary Meta Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Temporary Meta Machine Learning jobs? Cities in Virginia with the most Temporary Meta Machine Learning job openings:
Sustainability Program Manager, Responsible Supply Chain

Sustainability Program Manager, Responsible Supply Chain

Meta

Reston, VA

$132K/yr

Full-time

Posted 2 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

123rd of 191 rated software companies


Job description

Meta is hiring a Sustainability Program Manager to join the Sustainability Team focused on the Responsible Supply Chain (RSC) program. Our team enables Meta to operate and grow sustainably and responsibly. The Responsible Supply Chain program helps build safe and resilient communities in our global supply chain by protecting and empowering the lives of workers and the environment. This position will focus on implementing and managing responsible supply chain activities and optimizing management systems. We are looking for experienced candidates with supply chain social and environmental responsibility experience in technology and electronics supply chains, as well as a demonstrated background in program management and supplier engagement.
Sustainability Program Manager, Responsible Supply Chain Responsibilities:
  • Examine through root cause analysis and manage supplier performance improvements against Responsible Supply Chain (RSC) standards
  • Contribute to improvement programs that support sustained high supplier performance
  • Support the implementation of social and environmental responsibility programs and assurance activities at suppliers
  • Maintain positive, proactive relationships with key suppliers and stakeholders
  • Engage with sourcing (procurement), legal, business units and other cross-functional teams to align program objectives and manage key metrics
  • Execute responsible supply chain operations, including supplier prioritization activities, risk screening, and benchmarking
  • Provide day-to-day coordination for projects and effectively communicate status and priorities to team members and cross-functional partners
  • Execute technical reviews and process standardization, ensuring compliance with regulatory requirements and best practices
  • Contribute to the program's reporting, communications, and training

Minimum Qualifications:
  • Bachelor's degree in environmental science, environmental sustainability, business management, or a related field
  • 8+ years of experience in social compliance or supply chain labor, human rights, and health & safety
  • Familiarity with the Responsible Business Alliance Code of Conduct
  • Experience in project management with experience self-managing complex program delivery in a matrixed environment
  • Experience in developing management systems, including standard operating procedures
  • Advanced communication skills, including experience in conveying complex concepts to non-technical stakeholders
  • Demonstrated ability and willingness to learn
  • A strong sense of diplomacy
  • Demonstrated attention to detail and accuracy, including when managing competing priorities and time-sensitive deliverables
  • Willingness to travel (10%)

Preferred Qualifications:
  • Experience in electronics and technology sector
  • Advanced degree in sustainability, supply chain, science, engineering, or a related technical field

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$132,000/year to $188,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom