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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 ...

Energy Sourcing Manager

Reston, VA · On-site +1

$132K - $188K/yr

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 ...

Imagery Anst Prin

Sterling, VA · On-site

$118K - $200K/yr

Experience in Machine Learning (ML). * A current TS/SCI clearance with ability to obtain CI poly if ... Temporary employees generally are not eligible for BAE Systems benefits, but can elect to ...

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 ...

Hourly Hourly Wage: $22.00 with no experience Temp to Permanent Function: Operations The statements ... We offer events, resources, and learning opportunities that inspire aphysical, social, emotional ...

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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:
Operations & Maintenance Lead

Operations & Maintenance Lead

Meta

Henrico, VA

$114K/yr

Full-time

Posted 20 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 seeking an Operations & Maintenance Lead to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our suite of products operates to meet the demands of our customers. The Operations & Maintenance Lead will work with the larger Infrastructure Data Centers team to facilitate operating and maintaining the data center through maintenance planning, asset management, document control and standard compliance management.
Operations & Maintenance Lead Responsibilities:
  • Manage assets through full life cycle and maintain associated master data
  • Use the global maintenance library requirements to develop campus-wide maintenance plans in the Enterprise Asset Management System (Hexagon EAM)
  • Serve as the local Administrator role for the EAM tool and serve as the primary point of contact for the centralized tooling support team
  • Facilitate and help manage compliance to operational standards
  • Coordinate the development, review and approval of all operating procedures
  • Manage corrective actions for a variety of processes at the campus level by ensuring timely tasking and closeout
  • Collaborate with operational and technical teams to plan and schedule preventative and corrective work throughout the campus
  • Monitor maintenance schedules and related work management metrics for adherence to compliance windows
  • Collaborate with centralized teams to manage spare parts
  • Provide training for and maintain data health in Hexagon EAM tool
  • Support audits conducted by outside regulatory agencies (Sarbanes-Oxley(SOX), International Organization for Standardization (ISO), etc.)
  • Work with construction partners to ensure asset tagging and equipment attribute collection is accurate and aligns with written requirements
  • Analyze performance metrics and maintenance/operations data to identify trends, and implement continuous improvement strategies
  • Lead maintenance and operations optimization initiatives to support equipment reliability, operational efficiency, and overall site performance

Minimum Qualifications:
  • 7+ years of experience in an industry that includes operations & maintenance
  • Associates degree in related field plus 5+ years of experience or Bachelor’s degree in related field plus 3+ years of experience will be considered in lieu of 7+ years experience
  • Proficient using word processors, spreadsheets, and presentation software
  • Familiarity with Standard Operating Procedures (SOPs), Method of Procedures (MOPs), and their application to work orders
  • Experience working with enterprise asset management and maintenance management software
  • Demonstrated partnership and communication skills
  • Working knowledge of mechanical, electrical and life safety monitoring and control systems
  • Experience in collaborating and influencing teams to execute coordinated plans and activities

Preferred Qualifications:
  • 10+ years of experience
  • 3+ years of experience in a critical operations environment
  • 4+ years’ of experience scheduling and planning maintenance for large-scale, complex systems in an operations environment
  • Experience using Hexagon Enterprise Asset Management (EAM) system
  • Bachelor’s or Associates degree in a related 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.
$114,000/year to $168,000/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.

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