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Contract Machine Learning Startup Jobs in Springfield, OH

Skyline Scientific Inc

Software Engineer, Senior

Dayton, OH · On-site

$114K - $150K/yr

You also do not need to be a machine learning research scientist. You do need to be a strong coder ... This isn't a role where you'll sit idle on a contract-it's an opportunity to design, develop, and ...

Skyline Scientific Inc

Software Engineer, Senior

Dayton, OH · On-site

$114K - $150K/yr

You also do not need to be a machine learning research scientist. You do need to be a strong coder ... This isn't a role where you'll sit idle on a contract-it's an opportunity to design, develop, and ...

Aerotek

Machine Operator

Dayton, OH

$20/hr

The environment encourages practical learning, allowing those with prior equipment experience to ... Job Type & Location This is a Contract to Hire position based out of Moraine, OH. Pay and Benefits ...

New

Core4ce

AAIM Lab Lead

Beavercreek, OH · On-site

$175K - $200K/yr

... machine learning approaches for both limited and large-scale datasets * Conduct virtual verification and validation of AI/ML models and systems * Perform hands-on engineering work on active contracts ...

Core4ce

AAIM Lab Lead

Beavercreek, OH

... machine learning approaches for both limited and large-scale datasets * Conduct virtual verification and validation of AI/ML models and systems * Perform hands-on engineering work on active contracts ...

Aerotek

Machine Assembler

Piqua, OH

$30 - $40/hr

Benefit from working with a team that encourages learning and growth in the field of custom ... Job Type & Location This is a Contract position based out of Piqua, OH. Pay and Benefits The pay ...

BAE Systems

Eng Sr - Signal & Image Proc

Dayton, OH · On-site

$88K - $149K/yr

Contingent upon contract award to BAE Systems Space & Mission Systems and subsequent task orders ... and building machine learning (ML) models. Beyond remote sensing and software engineering ...

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All JobsContract Machine Learning Startup JobsContract Machine Learning Startup Jobs in Springfield, OH

Contract Machine Learning Startup information

See Springfield, OH salary details

$27

$44

$89

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

As of Jul 29, 2026, the average hourly pay for contract machine learning startup in Springfield, OH is $44.08, according to ZipRecruiter salary data. Most workers in this role earn between $37.02 and $45.67 per hour, depending on experience, location, and employer.

What are some common challenges faced by machine learning professionals working on a contract basis at startups?

Machine learning professionals working as contractors at startups often face challenges such as rapidly changing project scopes, limited access to large datasets, and the need to quickly adapt to new tools and frameworks. Startups typically move fast, so contractors must be comfortable with ambiguity and prioritize delivering value in short timeframes. Additionally, they may need to collaborate closely with cross-functional teams, such as product managers and engineers, to ensure that machine learning solutions align with business goals.

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

AspectContract Machine Learning StartupData Scientist
CredentialsRelevant degrees, certifications in ML/AITypically similar credentials, often with advanced degrees
Work EnvironmentProject-based, startup setting, flexible hoursOffice or remote, corporate or research settings
Employer & IndustryStartups in tech, AI, or data-driven sectorsVaried industries including tech, finance, healthcare
Search & Comparison IntentUnderstanding contract roles in ML startupsExploring data science career options

Contract Machine Learning Startup roles focus on short-term, project-based work within startup environments, often requiring specialized skills in ML and AI. Data Scientists typically work in more established companies or research settings, with similar credentials but often in a full-time capacity. Both roles demand strong technical backgrounds, but contract roles offer flexibility and varied projects, while Data Scientists may have more stability and broader responsibilities.

What are the key skills and qualifications needed to thrive in a Contract Machine Learning Startup role, and why are they important?

Success in a Contract Machine Learning Startup role generally requires expertise in machine learning algorithms, data analysis, and a solid background in computer science or related fields. Familiarity with programming languages such as Python or R, experience with ML frameworks like TensorFlow or PyTorch, and knowledge of cloud platforms (e.g., AWS, GCP) are typically expected. Strong problem-solving, adaptability, and effective communication help professionals collaborate with clients and respond to rapidly changing project requirements. These skills and qualities are vital to deliver innovative, scalable solutions in fast-paced, outcome-driven startup environments.

What is a Contract Machine Learning Startup?

A Contract Machine Learning Startup is a company or team that provides machine learning solutions and services to clients on a contract basis. Instead of developing their own products, these startups typically work with other businesses to build custom machine learning models, analyze data, and help integrate AI technologies into existing workflows. They may offer expertise in areas such as natural language processing, computer vision, or predictive analytics, and usually operate on short-term or project-based contracts. This approach allows client companies to access specialized knowledge without hiring full-time data scientists or engineers.
What cities near Springfield, OH are hiring for Contract Machine Learning Startup jobs? Cities near Springfield, OH with the most Contract Machine Learning Startup job openings:
Contract Machine Learning Startup jobs near you

Artificial Intelligence/Machine Learning Engineer (Pending Contract Award)

Design Interactive

Dayton, OH • Hybrid

Full-time

Posted 15 days ago

Job description

Pipeline Requisition – Proposal (Anticipated Start: September 2026)
Location: Wright Patterson Air Force Base, Dayton, OH (subject to award)
Contract Type: Proposal Pipeline – Positions contingent upon contract award
Overview: We are building a talent pipeline in support of an upcoming contract proposal to provide advisory and assistance services to Air Force Life Cycle Management Center (AFLCMC) to support the National Air and Space Intelligence Center (NASIC) mission areas including engineering, analysis, information technology and cyber security, with anticipated work beginning in September 2026. This position will support NASIC’s production of technical intelligence; modernize capabilities; support intelligence community collaboration and Department of War (DoW) mission needs.
Work will be performed on-site at Wright Patterson Air Force Base, Dayton, OH, pending award.
Required Qualifications:
  • Ability to obtain and maintain a DoD security clearance (Secret or TS/SCI depending on role)
  • Strong background directly aligned with the technical or analytical specialty area
  • Strong analytical, communication, and writing skills
  • For some roles, advanced degrees (MS/PhD) are preferred
Desired Qualifications
  • Experience supporting DoW, interagency, or national security missions is highly desirable
  • Experience within the National Air and Space Intelligence Center (NASIC) community.
We are currently gathering interest and pre-qualifying candidates for the potential role described below:
Artificial Intelligence/Machine Learning Engineer
The Artificial Intelligence/Machine Learning (AI/ML) Engineer provides engineering support to deliver secure, low‑risk technical solutions and effective program execution, including the integration of intelligent automation, AI, and machine learning. Responsibilities include developing and managing programs to guide digital transformation to cloud computing environments and the implementation of intelligent automation, AI and ML capabilities. The engineer leads programs that guide the application of hardware, software, and policy to modernize and adapt legacy systems for hybrid classified cloud environments. Additionally, the engineer develops and oversees programs that enable the adoption and operationalization of IA/AI/ML solutions, ensuring alignment with mission priorities, data strategies, and security requirements.
Desired Experience:
  • Bachelor’s degree in computer science/engineering or related discipline
  • Minimum 5 years of related experience.
  • Requires proficiency in complete software development lifecycle.
  • 3+ years of experience in AL/ML-based solutions, including Python programming and deep learning frameworks such as PyTorch, TensorFlow, or Keras
  • Experience developing Natural Language Processing (NLP), Large Language Models (LLM), and Retrieval-Augmented Generation (RAG)-enabled solutions
  • Experience applying AI/ML research to develop AI/ML solutions
  • Knowledge of core AI/ML concepts, including clustering, regression, classification, algorithm selection, and model evaluation
  • Requires good oral and written communication skills, interpersonal skills, including ability to adapt and work effectively in a variety of configurations independently, as a member of a team, and in a matrix reporting environment.
  • Requires ability to prioritize tasks, show considerable initiative, resolve conflicts and handle complaints.
About Us – Design Interactive, Inc.
Founded in 1998, Design Interactive (DI) is a small business dedicated to optimizing and enhancing human performance by utilizing cutting-edge technology, pioneering research, and focusing on digital transformation.
We deliver end-to-end solutions—Huan Factors amp; Human Systems Integration, UX/UI Design amp; Human-Centered Design, Digital Transformation, Applied Research amp; Technology Development, Data Science amp; Advanced Analytics, Artificial Intelligence amp; Machine Learning (AI/ML), Life Cycle Software Development, and System amp; Software Integration. DI solves high impact performance challenges across both defense and commercial industries.
Our Mission:
We Empower People with Innovative Technology.
Our Culture:
We’re committed to an inclusive and diverse workplace where every individual feels valued and respected. We provide equal opportunities to all candidates, regardless of background or identity.
Equal Employment Opportunity (EEO) Statement
We encourage applications from candidates of all backgrounds, experiences, and abilities—including those from underrepresented communities in technology.

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