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Temporary Meta Machine Learning Jobs in Virginia

BAE Systems USA

Imagery Anst Prin

Sterling, VA

General experience in Machine Learning (ML) techniques to EO imagery and data to address intelligence problems is desired. * A current TS/SCI clearance with ability to obtain CI poly if necessary ...

Truist Inc

Data Scientist II

Richmond, VA

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ...

Truist

Data Scientist II

Richmond, VA · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ...

Kraft Heinz

Machine Operator 3 - Shift

Winchester, VA · On-site

$22/hr

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 ...

Mindlance

Principal Gen AI Scientist

Mclean, VA

McLean, VA - fully onsite Duration: 6 months with possible temp to hire About the Role: We are ... Must have hands on experience with machine learning transitioned into GenAI. Rag, Python- Jupyter ...

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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.

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Temporary Meta Machine Learning jobs near you
Imagery Anst Prin

Imagery Anst Prin

BAE Systems USA

Sterling, VA

Other

Posted 18 days ago

BAE Systems rating

8.5

Company rating: 8.5 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

5th of 46 rated military and defense

Job description

Job Description
The Senior EO Imagery Analyst / Scientist shall provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve data curation and development in support of Machine Learning (ML) algorithm testing and evaluation.
Day-to-day tasks may include but not be limited to:
  • Assist the EO Lead in conducting assessments of potential differences between new sensor characteristics and capabilities compared to currently utilized platforms.
  • Assess potential differences in metadata, data format, and data structure characteristics in regards to changes to databases, schemas, API's and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline.
  • Determine how to acquire new data, potential latency associated with acquisition, data formats, and security domains.
  • Determine how to pre-process and standardize the data to match existing data standards or to be transformed into a usable state for labeling and model testing purposes. This may involve converting between file format types or tiling full-size images into specified sizes or geospatial bounds.
Required Skills and Education
  • 6+ years as an Electro-Optical (EO) Analysis expert with understanding of collection, phenomenology, imagery formation process, and exploitation products. An approved degree, may be substituted for some experience.
  • At least 3 years of experience exploiting the electromagnetic spectrum determine the occurrence and location of objects of interest.
  • Demonstrated experience with EO imagery quality metrics and sensor metadata describing impacts of geometry on phenomenology.
  • Strong in communicating with a variety of technical and non-technical audiences on the availability and capabilities of EO imagery products, methodologies, procedures, and algorithms to enhance analysis.
  • An understanding of the principles of remote sensing and imagery processing and advanced exploitation methods.
  • General experience in Machine Learning (ML) techniques to EO imagery and data to address intelligence problems is desired.
  • A current TS/SCI clearance with ability to obtain CI poly if necessary
About BAE Systems Intelligence & Security
BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it's what we do at BAE Systems. Working here means using your passion and ingenuity where it counts - defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team-making a big impact on a global scale. At BAE Systems, you'll find a rewarding career that truly makes a difference.
Intelligence & Security (I&S), based in McLean, Virginia, designs and delivers advanced defense, intelligence, and security solutions that support the important missions of our customers. Our pride and dedication shows in everything we do-from intelligence analysis, cyber operations and IT expertise to systems development, systems integration, and operations and maintenance services. Knowing that our work enables the U.S. military and government to recognize, manage and defeat threats inspires us to push ourselves and our technologies to new levels.
This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.
Preferred Skills and Education
  • Experience applying Computer Vision (CV) and machine learning (ML) techniques to EO imagery to address intelligence problems.

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