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Contract Meta Machine Learning Jobs in Springfield, OH

Booz Allen Hamilton

AI/ML Engineer, Senior

Dayton, OH · Hybrid

$99K - $225K/yr

As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build ... as well as contract-specific affordability and organizational requirements. The projected ...

New

Booz Allen Hamilton

Senior AI/ML Engineer

Dayton, OH · On-site

$99K - $225K/yr

As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will design, build ... as well as contract-specific affordability and organizational requirements. The projected ...

New

Booz Allen Hamilton

AI/ML Engineer, Mid

Dayton, OH

$77K - $176K/yr

As an Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will help design, build ... as well as contract-specific affordability and organizational requirements. The projected ...

New

Galois, Inc.

Principal Scientist

Dayton, OH

Artificial Intelligence, Machine Learning, and Data Science * Software & Systems Analysis ... Proven success securing external research grants or contracts, and managing projects from proposal ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Mid

Dayton, OH · On-site

$77K - $176K/yr

As an Artificial Intelligence and Machine Learning (AI/ML) Engineer, you will help design, build ... as well as contract-specific affordability and organizational requirements. The projected ...

New

Booz Allen Hamilton

Data Scientist

Dayton, OH

$77K - $176K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... as well as contract-specific affordability and organizational requirements. The projected ...

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Contract Meta Machine Learning information

See Springfield, OH salary details

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How much do contract meta machine learning jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for contract meta machine learning in Springfield, OH is $19.21, according to ZipRecruiter salary data. Most workers in this role earn between $16.88 and $20.58 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Contract Meta Machine Learning Engineer, and why are they important?

To thrive as a Contract Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and advanced machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems is essential, along with experience in meta-learning techniques. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design innovative solutions and collaborate with diverse teams. These competencies are crucial to efficiently develop, implement, and optimize meta-learning models that address complex, evolving business challenges.

What is the difference between Contract Meta Machine Learning vs Contract Data Scientist?

AspectContract Meta Machine LearningContract Data Scientist
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with machine learning frameworksMaster's or PhD in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentFocus on developing and deploying machine learning models, often in AI projectsData analysis, modeling, and interpretation to inform business decisions
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, and tech firms

Contract Meta Machine Learning roles primarily focus on building and deploying machine learning models, often requiring advanced technical skills in AI. Contract Data Scientist positions involve analyzing data, creating models, and deriving insights for business strategies. While both roles require strong analytical skills and similar educational backgrounds, Meta Machine Learning roles are more specialized in AI development, whereas Data Scientist roles emphasize data analysis and interpretation.

What are some of the unique challenges faced by contract machine learning engineers at Meta, and how can candidates prepare for them?

Contract machine learning engineers at Meta often work on high-impact projects with tight deadlines and rapidly evolving requirements. One of the main challenges is quickly integrating into existing teams and understanding Meta's large-scale data infrastructure and proprietary tools. To prepare, candidates should familiarize themselves with Meta's open-source frameworks, practice adapting to new codebases, and be ready to communicate effectively with cross-functional stakeholders. Building strong collaboration skills and maintaining flexibility will help contract engineers deliver value efficiently in this fast-paced environment.

What are Contract Meta Machine Learning professionals?

Contract Meta Machine Learning professionals are specialists hired on a contractual basis to design, develop, and optimize machine learning models, often focusing on meta-learning techniques. Meta-learning, sometimes called 'learning to learn,' involves creating algorithms that can adapt to new tasks with minimal data or retraining. These professionals typically work with organizations to solve complex, data-driven problems, leveraging advanced AI techniques for efficiency and scalability. They may also help integrate these solutions into existing systems and provide guidance on best practices for model deployment.
What are popular job titles related to Contract Meta Machine Learning jobs in Springfield, OH? For Contract Meta Machine Learning jobs in Springfield, OH, the most frequently searched job titles are:
What job categories do people searching Contract Meta Machine Learning jobs in Springfield, OH look for? The top searched job categories for Contract Meta Machine Learning jobs in Springfield, OH are:
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Contract Meta Machine Learning jobs near you
Distinguished sUAS Program Manager

Distinguished sUAS Program Manager

The University of Dayton

Dayton, OH

$60K - $67K/yr

Other

Posted 2 days ago

University Of Dayton rating

8.4

Company rating: 8.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

77th of 539 rated colleges and universities

Job description

Distinguished sUAS Program Manager

Apply now Job No: 503657
Work Type: Staff Full Time (1500 hours or greater)
Location: Dayton, OH
Category: Research Institute Staff
Department: Sensor Test & Evaluation - 250611
Pay Grade: P5 - Exempt
Advertised: June 22, 2026
Applications close: June 26, 2026

Position Summary: UDRI is initiating a new, high visibility effort focused on the integration of EW and other mission payloads onto small Unmanned Aircraft Systems (sUAS) platforms. The effort is at a very early stage and is expected to evolve significantly as requirements mature. The Distinguished sUAS Program Manager will be responsible for shaping the project direction, defining the technical and programmatic roadmap, identifying and evaluating contributors, and driving the execution of internal and external integration and test activities. The role requires a high-performing, proactive, strategic, and technically credible leader who can operate with minimal direction, manage diverse resources, and ensure successful coordination with government sponsors, payload vendors, UAS manufacturers, and internal engineering teams. Minimum Qualifications:

- Ph.D. in technical field related to sUAS technology
- 13 years of relevant experience
- Experience with sUAS systems, mission payloads, avionics, or related aerospace/defense integration environments
- Familiar with EW concepts including spoofing, jamming, and non-traditional EW
- Experience in technical domains relevant to sUAS payloads including:
- Electronic Warfare (EW)
- Artificial Intelligence / Machine Learning
- Intelligence, Surveillance, Reconnaissance (ISR)
- Chemical, Biological, Radiological, Nuclear (CBRN)
- Experience managing cost, schedule, and performance across multiple efforts
- Ability to operate independently with minimal guidance, especially with ambiguous, evolving program requirements
- Ability to balance technical leadership with programmatic oversight
- Strong communication skills with demonstrated ability to interface effectively with government and industry senior leaders
- Active Secret security clearance
- Due to the requirements of our research contracts with the U.S. federal government, candidates for this position must be a U.S. citizen

Preferred Qualifications:

While not everyone may possess all of the preferred qualifications, the ideal candidate will bring many of the following:

- Familiarity with EW payloads or multi-payload integration environments
- Demonstrated success planning and executing complex integration and test activities
- Experience managing subcontractors, external vendors, and third-party service providers to deliver projects on time and within scope
- Hands-on integration and test experience including hardware and software integration
- Experience with government program execution, incremental funding models, and NTE contract structures
- Prior experience as Principal Investigator (PI) or Program Manager (PM) within a research or applied engineering organization
- Active Top Secret security clearance

Special Instructions to Applicants:

To apply please submit a cover letter addressing each minimum qualification and any applicable preferred qualifications that you meet.

Closing Statement:

Informed by its Catholic and Marianist mission, the University is committed to the dignity of every human being. Informed by this commitment, we seek to increase diversity in all of its forms, achieve fair outcomes, and model inclusion across our campus community. The University is committed to policies of affirmative action designed to increase the employment opportunities of individuals with disabilities and protected veterans in compliance with the Rehabilitation Act of 1973 and Vietnam Era Veterans' Readjustment Assistance Act of 1973.

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