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Temporary Meta Machine Learning Jobs in Virginia

... 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 ...

... 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 ...

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

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning, in pursuit of business optimization and impact. 3. Foster communication and ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning, in pursuit of business optimization and impact. 3. Foster communication and ...

... 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 ...

Software Development Manager, OMHS SCS

Arlington, VA ยท On-site

$142K - $187K/yr

... machine learning, manipulation, image processing, and real-time data processing using distributed ... as seasonal or temporary employment. The benefits that generally apply to regular, full-time ...

Senior Tax Accountant

Mclean, VA

$82K - $106K/yr

... and temporary differences, income tax disclosures and standalone income tax computations and ... machine learning, energy analytics, and more. We're seeking those who are passionate about creating ...

Maintain knowledge of technical tools used and engage in continuous learning regarding new ... Have the knowledge required to initiate vetting of meta-data and know how to report that in the ...

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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:
Senior Advisor Artificial Intelligence & Advanced Compute

Senior Advisor Artificial Intelligence & Advanced Compute

Office of the Director of National Intelligence

Mclean, VA โ€ข On-site, Remote

$143K - $197K/yr

Full-time

Posted 12 days ago


Job description

Summary
The Policy & Capabilities (PC) Directorate ensures the IC is best postured for the threats and challenges of an uncertain future, through strategy, policy, and capabilities development. PC is comprised of the Strategic Capabilities Office (SCO) and Policy Strategy and Accountability (PSA) Office.
Learn more about this agency
Duties
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ODNI's Policy and Capabilities (P&C) Directorate is squarely focused on winning the geostrategic competition to secure America's future. P&C establishes the IC's strategic roadmap, develops requisite IC policies, and drives technology capabilities in alignment with national priorities.
Within P&C, the Strategic Capabilities Office (SCO) leads DNI-directed, results-oriented campaigns in key contested areas, including Mission Artificial Intelligence (AI), Advanced Compute, and Space & Sensors. These campaigns run from 18-36 months and are focused on establishing multi-agency capabilities that will transform the intelligence community (IC). SCO is seeking exceptional senior leaders and technical experts to help design, build, and scale next generation AI and compute capabilities across the IC.
This role is centered on enabling the IC to:
Operationalize frontier AI systems for mission use.
Architect and scale secure, edge-to-core compute infrastructure for critical IC workloads.
Integrate data, models, and workflows into mission-relevant systems.
Establish U.S. leadership in the global AI and compute competition.
Provide strategic and technical leadership across AI and compute campaigns, shaping architecture, roadmap, and execution priorities.
Drive development and deployment of AI-enabled mission systems, including multi modal, agentic, and decision-support capabilities.
Lead efforts to align compute infrastructure (cloud, on-prem, edge, specialized hardware) with mission needs, including performance, security, and scalability considerations.
Advise ODNI and IC leadership on AI model development, evaluation, security, and deployment risks, including adversarial and geopolitical considerations.
Accelerate rapid prototyping and transition to production, leveraging commercial innovation and non-traditional acquisition pathways.
Build and scale public-private partnerships with leading AI labs, infrastructure providers, startups, and academia.
Identify and resolve bottlenecks across data access, compute availability, policy constraints, and organizational adoption.
Support development of investment strategies and resource alignment, including compute provisioning, model development, and data infrastructure.
Foster a culture of urgency, technical excellence, and mission-first execution.
Other duties, as assigned.
Requirements
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Conditions of employment
Must be a current permanent ODNI employee OR must be a current permanent Federal employee with supervisory approval to apply to the Joint Duty Assignment (JDA). JDA applicants must be currently at the grade level specified in the advertisement. No temporary promotion opportunities will be granted for this position. The program does not apply to members of the Military service or contractors.
Joint Duty applicants may be considered for this position as a reimbursable detailee, if endorsed by the employing agency. Joint Duty applicants must have a current TS/SCI clearance with polygraph or have the ability to obtain one. The ODNI does not conduct polygraphs or provide security clearances for detailees.
FREE RESPONSE ESSAY QUESTIONS
All applicants must answer the following four short, free response essay questions. The responses cannot exceed 200 words per question. By submitting your responses to the following questions, you certify that you are using your own words and did not use a consultant or AI (such as a large language model [LLM]).
  1. How has your commitment to the Constitution and the founding principles of the United States inspired you to pursue this role within the Federal government? Provide a concrete example from professional, academic, or personal experience.
  2. In this role, how would you use your skills and experience to improve government efficiency and effectiveness? Provide specific examples where you improved processes, reduced costs, or improved outcomes.
  3. How would you help advance the President's Executive Orders and policy priorities in this role? Identify one or two relevant Executive Orders or policy initiatives that are significant to you and explain how you would help implement them if hired.
  4. How has a strong work ethic contributed to your professional, academic or personal achievements? Provide one or two specific examples and explain how those qualities would enable you to serve effectively in this position.

Qualifications
Mandatory Qualifications:
Expert expertise in one or more of the following areas:
Machine learning / AI systems (training, fine-tuning, evaluation, deployment).
Large-scale compute infrastructure (HPC, distributed systems, cloud, accelerators).
Data architecture and pipelines supporting AI workloads.
AI security, safety, or robustness.
Proven experience building, deploying, or scaling production-grade AI or compute systems.
Expert understanding of system-level tradeoffs across compute, data, models, latency, cost, and security.
Superior ability to lead complex, cross-functional efforts spanning engineering, product, and operations.
Experience working with senior executives and influencing strategic decisions.
Superior ability to translate cutting-edge technical concepts into actionable strategy and mission outcomes.
Expert collaboration skills and ability to operate effectively across government, industry, and academic stakeholders.
Commitment to public service, national security, and responsible technology deployment.
Expert experience with work of superior impact on agency programs related to a rapidly evolving field.
Desired Qualifications:
Experience with Generative AI models, including large language models, multi-modal systems, and agent-based architectures.
Experience designing or operating AI infrastructure stacks (training clusters, inference optimization, model serving).
Familiarity with specialized hardware ecosystems (GPUs, TPUs, wafer-scale engines, custom accelerators).
Experience with AI evaluation, benchmarking, red-teaming, or model assurance.
Background in high-growth technology companies, leading research labs, or advanced government programs.
Experience navigating classified or sensitive environments, or deploying secure systems at scale.
Understanding of global AI competition dynamics and national security implications.
Education
Bachelor's degree or higher in computer science, engineering, physics, mathematics, or a related technical field, or equivalent practical experience.
Additional information
JOB INTERVIEW TRAVEL
Candidates from outside the Washington Metropolitan Area (WMA) may be selected for a telephone, teleconference, or in-person interview.
SALARY DETERMINATION
A current Federal Government employee, selected for this position, will be assigned to the position at their current grade and salary.
REASONABLE ACCOMMODATIONS
The ODNI provides reasonable accommodations to otherwise qualified applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process, please notify the Reasonable Accommodations Officer by classified email at dni_reasonable_accommodation_wma@cia.ic.gov, by unclassified email at DNI_COO_HRM_RA_ALL@odni.gov, by telephone at (703)275-3900 or by FAX at (703)275-1277. Your request for reasonable accommodation will be addressed on a case-by-case basis. PLEASE DO NOT SUBMIT YOUR APPLICATION TO THE REASONABLE ACCOMMODATIONS EMAIL ADDRESS. THIS EMAIL IS FOR REASONABLE ACCOMMODATION REQUESTS ONLY.
The ODNI is an equal opportunity employer and abides by applicable employment laws and regulations.
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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
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A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Review our benefits
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.