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Temporary Meta Machine Learning Jobs in Virginia

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 ...

... all machinery, making necessary operational adjustments, and ensuring equipment is running ... Ability to grow and develop your career centered around our First Choice Learning opportunities

... all machinery, making necessary operational adjustments, and ensuring equipment is running ... Ability to grow and develop your career centered around our First Choice Learning opportunities

... all machinery, making necessary operational adjustments, and ensuring equipment is running ... Ability to grow and develop your career centered around our First Choice Learning opportunities

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)

... electrical temporary systems. Provides technical support to engineers on a variety of technical ... HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ...

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Support development of Systems Engineering Plans (SEPs), Test and Evaluation Master Plans (TEMPs ...

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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:
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Job description

This opportunity is exclusively available to individuals who have successfully completed the ATDM program. This position requires eligibility to access controlled unclassified and other regulated technical information in accordance with applicable federal requirements. This role is not eligible for remote work and will be based onsite in Danville, Virginia.

How You Will Help the Team
You will contribute to the success of CNC machining and metrology operations by supporting inspection processes, ensuring quality standards are met, and assisting with daily lab and project work. Your attention to detail and commitment to precision will help maintain the high standards required in advanced manufacturing environments.

What You Will Do

  • Perform dimensional inspections using hand metrology tools such as calipers, micrometers, height gauges, bore gauges, and surface plates
  • Support CNC machinists by verifying in-process dimensions and ensuring parts meet specifications
  • Assist with first article, in-process, and final inspections
  • Operate a Coordinate Measuring Machine (CMM) for assigned inspections under supervision
  • Record measurement results accurately and maintain organized documentation
  • Follow safety protocols and comply with industry standards, including ITAR, ISO, and ANSI
  • Assist with basic preventive maintenance on metrology equipment
  • Collaborate with CMA staff and project teams to support metrology initiatives
  • Maintain a clean, organized, and safe work environment
  • Perform other duties as needed to support project and learning goals

The Ideal Candidate

  • Recent completion of Accelerated Training in Defense Manufacturing's Metrology program
  • Basic understanding of metrology processes and CMM operations.
  • Familiarity with GD&T fundamentals and blueprint reading.
  • Strong work ethics, attention to detail, and eagerness to develop technical skills.
  • Ability to follow instructions, work in a team, and communicate effectively.
  • Reliable and self-motivated with a commitment to safety and quality.

Physical Requirements:         

  • May sit or stand for long periods of time while completing duties
  • Must be able to move freely between facilities
  • Must be able to operate and manipulate a keyboard
  • May lift up to 50 pounds on a regular basis

Compensation & Other DetailsThis is a temporary position with an anticipated duration of four months. The role offers an hourly wage of $20, and housing will be provided as a taxable benefit. Please note that this position is not eligible for participation in IALR’s other benefits programs.

IALR is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. If you need reasonable accommodation for any part of the application or hiring process, please contact hr@ialr.org. Requests will be kept confidential and handled in accordance with applicable laws.