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Remote Machine Learning Jobs in Dayton, OH (NOW HIRING)

STR

Autonomy Algorithms Senior Software Engineer

Dayton, OH · On-site +1

$134K - $184K/yr

By leveraging expertise in machine learning, algorithms, model-predictive control, and software development, we build tools that support tactical mission planning and execution, autonomous reasoning ...

STR

Autonomy Algorithms Senior Software Engineer

Dayton, OH · On-site +1

$134K - $184K/yr

By leveraging expertise in machine learning, algorithms, model-predictive control, and software development, we build tools that support tactical mission planning and execution, autonomous reasoning ...

Booz Allen Hamilton

Software Data Engineer

Beavercreek, OH · On-site +1

$106K - $127K/yr

Integrate operational machine learning workflows, including online inference, drift monitoring, and ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Dayton, OH

Remote Machine Learning information

See Dayton, OH salary details

$24.8K

$41.4K

$85.5K

How much do remote machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote machine learning in Dayton, OH is $41,390.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs

What are the most commonly searched types of Machine Learning jobs in Dayton, OH?

The most popular types of Machine Learning jobs in Dayton, OH are:

What are popular job titles related to Remote Machine Learning jobs in Dayton, OH?

For Remote Machine Learning jobs in Dayton, OH, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in Dayton, OH look for?

The top searched job categories for Remote Machine Learning jobs in Dayton, OH are:

What cities near Dayton, OH are hiring for Remote Machine Learning jobs?

Cities near Dayton, OH with the most Remote Machine Learning job openings:

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Dayton, OH as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $41,390 per year, or $19.9 per hour.

Autonomy Algorithms Senior Software Engineer

STR

Dayton, OH • On-site, Remote

$134K - $184K/yr

Full-time

Posted 19 days ago

Job description

About the Team: 

STR's Analytics & C2 Division develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated individuals with degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation in order to improve mission success. 

The Collaborative Autonomy and Control (CAC) Group in the AC2 Division works to build software systems that solve critical problems in the areas of uncrewed system autonomy, multi-agent collaboration, resource management, and control. By leveraging expertise in machine learning, algorithms, model-predictive control, and software development, we build tools that support tactical mission planning and execution, autonomous reasoning, and more. 

The Role: 

As an Autonomy Algorithms Senior Software Engineer, you will work as part of a tightly knit team to design, develop, implement, integrate, test, and demonstrate advanced algorithms and software systems for autonomous platforms. You will provide technical leadership and mentoring on programs working throughout the software and system development lifecycle, from early prototypes to integrated systems. Your work will develop a diverse set of software tools and applications for mission planning systems, automated control processes, unmanned platforms, DevSecOps, and CI/CD pipelines. This position is based in Woburn, MA, Arlington, VA, or Dayton, OH, and will take advantage of STR's flexible, hybrid environment - when the work does not require use of STR's facilities, you are welcome to work remotely.  

Who You Are: 

  • Ability to obtain a security clearance, for which U.S Citizenship is needed by the U.S government
  • BS in Computer Science or related technical field with 5+ years of experience
  • 3+ years of experience with C++ or Java
  • Full stack development experience but with a heavy focus on backend algorithmic development
  • Proven understanding of data structures, algorithms, concurrency, and code optimization of backend executables
  • Proven ability to develop, implement, integrate, and test autonomy algorithms and software
  • Not interested in Front end UI/UX or database management/interaction
  • Proven ability to work with research scientists to transition complex mathematical algorithmic concepts to software application
  • Proven ability to proactively assume leadership within modest size engineering teams (2-4 engineers) through complete Agile development lifecycle including task definition, delegation, and maintenance
  • Demonstrated success executing industry best practices in areas such as code review, unit testing, test coverage, static analysis, etc., to ensure mature, high quality software products
  • Experience in supporting system/software architecture design at the system and system of systems (SoS) levels
  • Experience utilizing the following: 
    • Object-Oriented Programming principles for large scale systems
    • Agile software lifecycle methodologies and tools, such as JIRA, Confluence, Gitlab, static analysis, etc
    • Test-driven development methodologies 
  • A demonstrated ability to adopt new languages, libraries, and technologies 

Even Better: 

  • MS or PhD in Computer Science or related technical field
  • Experience with the following:  
    • Collection Orchestration
    • Satellite Constellation Management
    • Containerization and service based architectures
    • Coordinating Electronic Warfare resources
    • Reinforcement learning
    • Agentic AI
    • Experience programming for embedded and physical devices
    • Multi-agent coordination of UxVs
    • MAVLINK or other C2 protocols
    • ROS TAK
    • DevSecOps and CI/CD tool chains
    • Constraint satisfaction algorithms 
    • Knowledge representation/ontologies
    • Python 
  • Active Security Clearance 

Pay Information 

Full-Time Salary Range: $134,000 - $184,000 

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. 

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