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Remote Deep Learning Engineer Jobs in Springfield, OH

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH ยท On-site +1

$65.25 - $87.50/hr

... programming (Python/Scala) * Experience with Azure ecosystem, preferable * Knowledge of Linux OS * Familiarity with machine learning and data science concepts Benefits * Fully Remote work-from-home ...

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH ยท On-site +1

$65.25 - $87.50/hr

... programming (Python/Scala) * Experience with Azure ecosystem, preferable * Knowledge of Linux OS * Familiarity with machine learning and data science concepts Benefits * Fully Remote work-from-home ...

Data Analyst - GEOINT Technical SME

Dayton, OH ยท Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Analyst - GEOINT ... its deep customer and domain knowledge to enable the delivery of systems engineering and ...

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Remote Deep Learning Engineer information

See Springfield, OH salary details

$9.9K

$75.6K

$126.1K

How much do remote deep learning engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote deep learning engineer in Springfield, OH is $75,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,900.00 and $125,200.00 per year, depending on experience, location, and employer.

How do Remote Deep Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

What are the key skills and qualifications needed to thrive as a Remote Deep Learning Engineer, and why are they important?

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

What is a Remote Deep Learning Engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.
What job categories do people searching Remote Deep Learning Engineer jobs in Springfield, OH look for? The top searched job categories for Remote Deep Learning Engineer jobs in Springfield, OH are:
What cities near Springfield, OH are hiring for Remote Deep Learning Engineer jobs? Cities near Springfield, OH with the most Remote Deep Learning Engineer job openings:
Senior Staff / Senior Frontend Engineer with Security Clearance

Senior Staff / Senior Frontend Engineer with Security Clearance

SciTec, Inc.

Dayton, OH โ€ข On-site, Remote

$111K - $152K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Job description

Description SciTec, a wholly owned subsidiary of Firefly Aerospace, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions. Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered. We are seeking a Senior Staff / Senior Frontend Engineer to design, develop, and maintain user-facing web applications and support backend services for real-time data visualization. This role focuses on building reliable, visually intuitive, and high-performance applications that operate continuously in mission-critical environments The ideal candidate is a strong contributor with deep TypeScript and React expertise, sound software engineering judgment, and the ability to collaborate across disciplines while influencing technical direction through example and mentorship. Responsibilities Design, develop, and maintain frontend software, including code, tests, and documentation Build and integrate User Interfaces and data pipelines for real-time data visualization Design, prototype, and implement user-centric interfaces that translate customer needs into intuitive solutions Maintain and improve 24/7 user-facing applications that display, manage, and monitor real-time data Identify and resolve software defects and security vulnerabilities Collaborate with team members during Agile ceremonies, including standups, sprint planning, and retrospectives Contribute to architectural discussions and technical design decisions Ensure adherence to software engineering best practices, including code quality, testing, and maintainability Support documentation and knowledge sharing across teams Perform other duties as assigned
Requirements Bachelor's degree in Computer Science, Engineering, Mathematics, Physical Sciences, or a related technical field 5+ years of professional experience developing user-facing web applications Strong experience with JavaScript, TypeScript, and React or Angular Experience developing and maintaining applications that handle real-time data Proficiency working in Linux environments and using Git Solid understanding of software engineering principles, including modularity, maintainability, and testability Strong attention to detail and commitment to high-quality code Excellent verbal and written communication skills Active DoD security clearance Candidates who have any of the following skills will be preferred: Advanced degree in Computer Science or Engineering Experience developing geospatial or mapping applications, including Cesium Experience creating or contributing to design systems Experience with UI/UX prototyping tools (e.g., Figma, Adobe XD, Axure) Experience working across the stack with Python, Go, Java, and/or C++ Familiarity with messaging and streaming technologies, such as: Protocol Buffers, ZeroMQ, Kafka, gRPC, REST APIs Experience with microservice architectures Professional experience with DevOps and CI/CD tools, including Docker, Kubernetes, Helm, and GitLab CI/CD Experience with databases and data stores such as PostgreSQL, MongoDB, and Elastic Active DoD TS/SCI security clearance Resumes, Cover Letters, and Applications which are generated by AI will not be considered for employment. Benefits SciTec offers a highly competitive salary and benefits package, including: * 4% Safe Harbor 401(k) match
  • 100% company paid HSA Medical insurance, with a choice of 2 buy-up options
  • 80% company paid Dental insurance
  • 100% company paid Vision insurance
  • 100% company paid Life insurance
  • 100% company paid Long-term Disability insurance
  • Short-term Disability insurance
  • Annual Profit-Sharing Plan
  • Discretionary Performance Bonus
  • Paid Parental Leave
  • Generous Paid Time Off, including Holiday, Vacation, and Sick Pay
  • Flexible work hours The pay range for this position is $111,000 - $152,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation. SciTec is proud to be an Equal Opportunity employer. VET/Disabled.

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About SciTec

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

1979