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Remote Video Streaming Engineer Jobs in Michigan

Huntington

Software Development Engineer (Lead)

Detroit, MI · On-site +1

$70K - $140K/yr

Experience building and operating enterprise data platforms for high-volume batch and streaming ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Siemens

$18 - $50/hr

Produce technical documentation, training materials, video demonstrations, and presentation content ... Comfortable working in a remote work environment preferably in the California region * Experience ...

Siemens

$18 - $50/hr

Produce technical documentation, training materials, video demonstrations, and presentation content ... Comfortable working in a remote work environment preferably in the California region * Experience ...

Siemens

$18 - $50/hr

Produce technical documentation, training materials, video demonstrations, and presentation content ... Comfortable working in a remote work environment preferably in the California region * Experience ...

Siemens

$18 - $50/hr

Produce technical documentation, training materials, video demonstrations, and presentation content ... Comfortable working in a remote work environment preferably in the California region * Experience ...

Siemens

$18 - $50/hr

Produce technical documentation, training materials, video demonstrations, and presentation content ... Comfortable working in a remote work environment preferably in the California region * Experience ...

Siemens

$18 - $50/hr

Produce technical documentation, training materials, video demonstrations, and presentation content ... Comfortable working in a remote work environment preferably in the California region * Experience ...

Siemens

$18 - $50/hr

Produce technical documentation, training materials, video demonstrations, and presentation content ... Comfortable working in a remote work environment preferably in the California region * Experience ...

Siemens

$18 - $50/hr

Produce technical documentation, training materials, video demonstrations, and presentation content ... Comfortable working in a remote work environment preferably in the California region * Experience ...

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Remote Video Streaming Engineer information

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 are the key skills and qualifications needed to thrive as a remote video streaming engineer?

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 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 popular job titles related to Remote Video Streaming Engineer jobs in Michigan?

For Remote Video Streaming Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Video Streaming Engineer jobs in Michigan look for?

The top searched job categories for Remote Video Streaming Engineer jobs in Michigan are:

What cities in Michigan are hiring for Remote Video Streaming Engineer jobs?

Cities in Michigan with the most Remote Video Streaming Engineer job openings:

Remote Video Streaming Engineer jobs near you

AI Machine Learning Engineer (AI / ML: Python / Go)

Detroit, MI • On-site, Remote

Benzinga
Video and Audio Streaming Services • 11 - 50 employees
Learn more about Benzingaexternal

Full-time

Re-posted 23 days ago

Job description

About Benzinga
Benzinga is a fast-growing financial media and data technology company reshaping how investors access information. We combine artificial intelligence, machine learning, and real-time data pipelines to surface insights before they hit the mainstream. Our platforms deliver structured news, sentiment analytics, and financial data APIs used by leading banks, fintechs, and AI companies worldwide.
We're seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of data science and backend engineering - someone who can take a model from notebook to production, and architect intelligent systems in Go and Python that scale to millions of requests.
The ideal candidate is a self-starter who independently identifies opportunities, experiments with new approaches, and ships production-ready solutions without constant direction.
Key Responsibilities
AI / Machine Learning
  • Research, design, and deploy machine learning models across NLP, time-series forecasting, and event detection domains.
  • Build LLM-driven systems (e.g. summarization, RAG pipelines, embedding search) optimized for financial news and quantitative data.
  • Develop model serving APIs and scalable inference layers using Go or Python.
  • Implement model monitoring, drift detection, and continuous retraining pipelines.
  • Work with financial text (earnings call transcripts, filings, news) to extract structured insights.
  • Collaborate with data engineers to build training datasets, feature stores, and embedding databases.

Backend & Infrastructure
  • Develop and maintain high-performance Python or Go microservices that integrate with AI systems and Go data APIs.
  • Design and optimize real-time inference pipelines on AWS, leveraging ECS/EKS, S3, and Lambda.
  • Ensure low-latency, fault-tolerant, and scalable delivery of AI-powered data.
  • Implement CI/CD for ML workflows, including containerization, automated deployment, and versioning.
  • Partner with DevOps to manage cloud infrastructure and ensure robust observability for AI workloads.

Requirement for applying:
  • During your screening you will be required to submit a Loom video walkthrough of your most exceptional product, share relevant code/repo links, and describe the biggest challenge you faced building it.

Required Qualification
  • 4+ years of experience in AI/ML or data engineering roles, with a proven track record of deploying ML models in production.
  • Computer science degree (Bachelor minimum)
  • Deep proficiency in Python (data, ML) and Go (backend, microservices).
  • Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or Hugging Face.
  • Experience with transformer architectures, embeddings, or fine-tuning LLMs.
  • Strong understanding of data pipelines, feature extraction, and model lifecycle management.
  • Familiarity with Docker, Kubernetes, and AWS (EKS, S3, Lambda, EC2).
  • Excellent problem-solving skills and ability to work independently in a distributed environment.

Preferred Skills / Experience
  • Startup experience.
  • Financial services or fintech background
  • Experience building LLM-powered APIs or retrieval-augmented generation (RAG) systems.
  • Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, OpenSearch kNN).
  • Experience with Kafka, LangChain, or data streaming architectures.
  • Familiarity with financial data systems, real-time analytics, or news NLP.
  • Exposure to MLOps tools (MLflow, BentoML, SageMaker, Airflow, etc.).
  • Contributions to open-source ML or Go projects are a strong plus.

Tech Stack
  • Languages: Python, Go
  • ML Frameworks: PyTorch, TensorFlow, Hugging Face, LangChain
  • Cloud: AWS (EKS, ECS, S3, Lambda, EC2, IAM)
  • Containers & Orchestration: Docker, Kubernetes
  • Data & Streaming: Kafka, Postgres, OpenSearch
  • CI/CD: GitHub Actions, GitLab CI
  • Monitoring: Datadog, Prometheus, Grafana
  • Version Control: Git (Gitlab / Github)

Why Join Benzinga
  • Build and ship production AI systems that shape how financial markets understand information.
  • Operate with full creative freedom - explore, experiment, and execute your ideas end-to-end.
  • Work with a lean, highly technical team where initiative and ownership are celebrated.
  • Fully remote, high-trust environment that rewards curiosity, speed, and execution.
Benzinga logo

About Benzinga

Sourced by ZipRecruiter

Benzinga is a full-service news and media company with three main areas of expertise: real-time news, actionable trading ideas and insightful commentary. We offer coverage of all aspects of the financial market including corporate, economic and political content. With strong connections in and around the market, we strive to provide high quality and relevant news for the real-time environment that defines today's world.

Industry

Video and audio streaming services

Company size

11 - 50 Employees

Headquarters location

Detroit, MI, US

Year founded

2010

Social media

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