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Temporary Meta Machine Learning Jobs in Maryland

WSSC Water

Data Scientist

Laurel, MD · On-site

... temporary) Work Schedule Monday - Friday 8:00 AM - 5:00 PM Position Location Laurel Position ... Develops and implements advanced machine learning and statistical models to solve complex business ...

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 ...

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 ...

WSSC Water

Data Architect

Laurel, MD · Hybrid

$65.25 - $84/hr

... Temporary - Regular Work Schedule - Monday - Friday 8:00am - 5:00pm Position Location - Laurel ... machine learning, and AI workloads for predictive modeling, asset management, and operational ...

Marriott

FLEX Customer 360, Senior Data Engineer

Bethesda, MD · On-site

$113.10K - $153.70K/yr

This is a temporary position. JOB SUMMARY Marriott has an exciting opportunity for a Customer 360 ... and machine learning platform. Appropriate candidates have a passion for data and emerging ...

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Temporary Meta Machine Learning information

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 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 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 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 most commonly searched types of Meta Machine Learning jobs in Maryland? The most popular types of Meta Machine Learning jobs in Maryland are:
What are popular job titles related to Temporary Meta Machine Learning jobs in Maryland? For Temporary Meta Machine Learning jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Temporary Meta Machine Learning jobs in Maryland look for? The top searched job categories for Temporary Meta Machine Learning jobs in Maryland are:
What cities in Maryland are hiring for Temporary Meta Machine Learning jobs? Cities in Maryland with the most Temporary Meta Machine Learning job openings:
Temporary Meta Machine Learning jobs near you
Machine Learning Intern

Machine Learning Intern

Xometry

North Bethesda, MD • Hybrid

$27/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Are you a driven college student eager to make a real impact at a cutting-edge technology company? Xometry's Summer Internship Program offers a unique opportunity to gain hands-on experience and develop essential skills in the manufacturing industry.

As a Machine Learning Intern at Xometry, you'll work on real-world projects that directly impact our AI-driven solutions, collaborate with experienced machine learning engineers, and learn how to build and deploy models that solve complex problems in a dynamic and fast-paced environment.

What You'll Do:

  • Design, build, and optimize machine learning models to enhance Xometry's platform and business operations.
  • Analyze large datasets to extract meaningful patterns and insights.
  • Collaborate with cross-functional teams to integrate machine learning models into production systems.
  • Learn and apply best practices in model evaluation, performance tuning, and deployment.
  • Gain exposure to cutting-edge machine learning frameworks, tools, and techniques used in the manufacturing industry.

What We Offer:

  • Mentorship: Learn from experienced professionals and receive guidance from a dedicated intern captain.
  • Dynamic Culture: Embrace a fast-paced, collaborative environment that values innovation and flexibility.
  • Professional Development: Gain practical skills in digital marketing, social media, content marketing, and more.

What We're Looking For:

  • Academic Excellence: Currently enrolled in an accredited college or university, graduating in December 2026 or May 2027, with a minimum 3.5 GPA.
  • Strong Work Ethic: Ability to work full-time (40 hours/week) during the internship period (June 8 - August 14, 2026).
  • Excellent Communication Skills: Strong verbal and written communication skills.
  • Entrepreneurial Spirit: A passion for problem-solving and a desire to drive results.
  • Legal Authorization: Ability to provide proof of legal right to work in the United States.
  • Location Requirement: Ability to commute to our North Bethesda, MD or Waltham, MA office to work onsite for at least 3 days a week.
  • Provide Unofficial Transcript

The estimated base pay rate for new hires into this role is $27.00 per hour depending on factors such as job-related skills, relevant experience, and location. This is a temporary position.

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About Xometry

Sourced by ZipRecruiter

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Industry

Software development

Company size

501 - 1,000 Employees

Headquarters location

Gaithersburg, MD, US

Year founded

2013

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