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Remote Video Streaming Engineer Jobs in Ohio (NOW HIRING)

Sr. Staff Software Engineer

Dayton, OH · On-site +1

$119.10K - $157K/yr

... remote sensing algorithms, tools, and techniques to deliver world-class data exploitation ... Design, implement, and maintain real-time or near-real-time data processing and streaming workflows

Remote Psychologist

Cleveland, OH · Remote

$50 - $100/hr

... video platform, consistent with your scope of licensure and clinical expertise. * Maintain ... Steady Stream of Referrals: Gain access to a diverse pool of clients actively seeking therapy. Our ...

Senior Software Engineer

Independence, OH · Remote

$120.20K - $158.40K/yr

Remote or Canada Experience: Senior Employment Type: Full-Time Industry: Computer and Network ... streaming) and pull-based (polling, REST/RPC/gRPC) data exchange. * Strong knowledge of event ...

Senior Software Engineer

Independence, OH · Remote

$120.20K - $158.40K/yr

Remote or Canada Experience: Senior Employment Type: Full-Time Industry: Computer and Network ... streaming) and pull-based (polling, REST/RPC/gRPC) data exchange. * Strong knowledge of event ...

AI Data Architect

Columbus, OH · On-site +1

$59.50 - $76.50/hr

You will bridge advanced data engineering, governance, and AI/ML model lifecycle requirements to ... However, the remote location must be within the US. How you will spend your time: * Define and ...

... streaming) * Ability to work directly with customers and engineers to design and build systems ... Remote-first culture with flexibility across the United States (Central/Eastern time zone preferred)

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Remote Video Streaming Engineer information

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

To thrive as a Remote Video Streaming Engineer, you need expertise in video encoding, streaming protocols (like HLS/DASH), and a solid background in computer science or a related field. Familiarity with tools such as FFmpeg, cloud platforms (AWS, Azure), and content delivery networks (CDNs), along with relevant certifications, is highly beneficial. Strong problem-solving, communication, and teamwork skills help you address technical challenges and collaborate effectively with distributed teams. These skills ensure seamless streaming experiences, efficient troubleshooting, and the ability to adapt to evolving video technologies.

What are some common technical challenges a Remote Video Streaming Engineer faces and how can they be addressed?

A Remote Video Streaming Engineer often encounters challenges such as ensuring low-latency streaming, maintaining video quality across different network conditions, and handling high traffic loads efficiently. Addressing these issues typically involves optimizing encoding settings, implementing adaptive bitrate streaming, and using Content Delivery Networks (CDNs) to distribute content closer to end-users. Collaboration with backend developers, network engineers, and QA teams is also essential for troubleshooting and implementing robust solutions. Staying up to date with evolving streaming protocols and codecs is key to ongoing success in the role.

What does a Remote Video Streaming Engineer do?

A Remote Video Streaming Engineer is responsible for designing, implementing, and maintaining systems that deliver video content over the internet. They work with various streaming protocols, optimize video quality, and troubleshoot issues related to latency, buffering, and compatibility across devices. These engineers often collaborate with development teams, use cloud-based services, and ensure secure and efficient video transmission. Working remotely, they leverage collaboration tools and remote access to manage streaming infrastructure from anywhere.

What is the difference between Remote Video Streaming Engineer vs Remote Video Content Producer?

AspectRemote Video Streaming EngineerRemote Video Content Producer
Required SkillsVideo streaming protocols, encoding, troubleshootingContent creation, editing, storytelling
Work EnvironmentTechnical teams, live streaming platformsCreative teams, media production environments
CertificationsNetworking, streaming technology certificationsMedia production, editing certifications
Industry UsageBroadcast, tech companies, streaming servicesMedia, entertainment, marketing

The main difference is that Remote Video Streaming Engineers focus on the technical aspects of delivering live or on-demand video content, ensuring smooth streaming and troubleshooting issues. In contrast, Remote Video Content Producers are responsible for creating, editing, and managing video content for various platforms. Both roles may collaborate but serve distinct functions within the video production and distribution process.

What are the most commonly searched types of Video Streaming Engineer jobs in Ohio? The most popular types of Video Streaming Engineer jobs in Ohio are:
What job categories do people searching Remote Video Streaming Engineer jobs in Ohio look for? The top searched job categories for Remote Video Streaming Engineer jobs in Ohio are:
What cities in Ohio are hiring for Remote Video Streaming Engineer jobs? Cities in Ohio with the most Remote Video Streaming Engineer job openings:
Senior Machine Learning Engineer, Neural Simulators

Senior Machine Learning Engineer, Neural Simulators

Path Robotics

Columbus, OH • On-site, Remote

$118.30K - $156K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


Job description

Build the Path Forward
At Path Robotics, we're building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously improving through real-world use.
Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people make the impossible possible together.
Manufacturing demands exceptionally high performance, reliability, and adaptability. Processes like welding involve fast, complex, and poorly modeled physics that traditional simulators struggle to capture - especially in the long tail of real-world conditions.
We are building intelligent robotic systems that learn directly from data by combining neural world models with reinforcement learning. Our goal is to give robots the ability to learn, predict, and plan in complex manufacturing environments by replacing or augmenting classical physics simulators with fast, high-fidelity learned ones.
We are seeking a Senior Machine Learning Engineer to lead the development of a neural welding simulator - a learned world model that captures the visual and physical dynamics of welding and enables large-scale RL training. This role sits at the intersection of generative modeling, robotics, and applied physics. It is research-heavy by design, while still grounded in production reality.
This role can be located in our Columbus, Ohio Headquarters or Remote.
What You'll Do
  • Build a learned world model of the welding process that predicts future system behavior under robot actions.
  • Develop multimodal neural simulators incorporating signals such as 3D scans, video, thermal data, and electrical measurements.
  • Design, train, and evaluate large-scale generative or dynamics models (e.g., video prediction, latent world models, 3D or spatiotemporal representations) capable of long-horizon rollouts.
  • Collaborate with reinforcement learning engineers by integrating the neural simulator into RL pipelines for policy training and evaluation.
  • Run research tracks in parallel with production development, including hypothesis-driven experimentation and ablation.
  • Partner closely with data and MLOps teams to support scalable training, evaluation, and deployment - while remaining comfortable owning pieces of the stack when needed.
  • Translate research prototypes into robust, maintainable production code when they prove valuable.
  • Validate simulator performance against real-world robotic welding data and support sim-to-real transfer.
Who You Are
  • Experience building and deploying ML systems for robotics or other complex physical processes in real-world settings.
  • Hands-on experience with world models, learned simulators, video generation, 3D modeling, or dynamics prediction.
  • Comfortable training large models from scratch and working with the tooling and infrastructure required to scale experiments.
  • Enjoy working with messy, real-world data and are pragmatic about imperfect ground truth.
  • Strong software engineer with solid Python skills and experience in frameworks such as PyTorch or JAX.
  • You are excited by a role that blends research depth with practical impact, and you're willing to context-switch when the team needs it.
A Note on Background
We do not expect prior welding experience. We do expect comfort modeling complex physical systems from data, reasoning about failure modes, and iterating toward accuracy under real-world constraints.
Why This Role
  • You'll help define the core learning infrastructure that underpins our robotic systems
  • You'll have space to pursue research tracks that run in parallel with production development.
  • You'll work on problems where success is measurable in the physical world - not just benchmarks.
  • You'll join a team that values depth, ownership, and adaptability over narrow specialization.

Why You'll Love Working Here
  • Daily free lunch to keep you fueled and connected with the team
  • Flexible PTO so you can take the time you need, when you need it
  • Comprehensive medical, dental, and vision coverage
  • 6 weeks fully paid parental leave, plus an additional 6-8 weeks for birthing parents (12-14 weeks total)
  • 401(k) retirement plan through Empower
  • Generous employee referral bonuses-help us grow our team!

Who We Are
At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.