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Video Streaming Jobs in New York (NOW HIRING)

NxT Level

Senior Machine Learning Engineer

Manhattan, NY · On-site

$133K - $176K/yr

Mobile Video Streaming: The app is designed to ingest high-quality, low-latency video, transcode, and redistribute it to external media seamlessly. * Radio Hardware: Development of proprietary ...

NxT Level

Senior Machine Learning Engineer

Manhattan, NY

$133K - $176K/yr

Mobile Video Streaming: The app is designed to ingest high-quality, low-latency video, transcode, and redistribute it to external media seamlessly. * Radio Hardware: Development of proprietary ...

Whatnot

Software Engineer, Video

New York, NY · On-site

$190K - $260K/yr

Role At Whatnot, video and live streaming are the foundation of our business. As we embark on an exciting phase of expansion, we're seeking to enrich our platform with innovative video solutions and ...

CustomShow

Senior Java/Flex Developer

New York, NY · On-site

$62.75 - $79.75/hr

... video streaming and mixing. Qualifications Full-lifecycle software development Experience with enterprise-level software architecture Expert with Java server technologies (Tomcat/Spring/Hibernate ...

CustomShow

Senior Java/Flex Developer

New York, NY

$62.75 - $79.75/hr

... video streaming and mixing. Qualifications Full-lifecycle software development Experience with enterprise-level software architecture Expert with Java server technologies (Tomcat/Spring/Hibernate ...

Peloton

Senior Network Engineer

New York, NY · Hybrid

$113K - $155K/yr

Lead the network analysis and troubleshooting for our NY studio, ensuring 24/7 uptime for live broadcast, video streaming, and OTT delivery * Manage the end-to-end project lifecycle for network ...

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$96.6K

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How much do video streaming jobs pay per year?

As of Jul 16, 2026, the average yearly pay for video streaming in New York is $96,606.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $118,700.00 per year, depending on experience, location, and employer.

What is a Video Streaming job?

A Video Streaming job involves managing, optimizing, and delivering live or on-demand video content over the internet. Professionals in this field work with streaming technologies, encoding formats, and content delivery networks (CDNs) to ensure smooth playback and high-quality viewing experiences. Responsibilities may include configuring streaming platforms, troubleshooting playback issues, and improving video compression for better performance. These roles are common in media companies, tech firms, and entertainment industries where digital video distribution is essential.

What are the key skills and qualifications needed to thrive in the Video Streaming position, and why are they important?

To thrive in a Video Streaming role, you need a strong background in video encoding, content delivery networks (CDNs), and media player technologies, often supported by a degree in computer science or a related field. Familiarity with tools like FFmpeg, Wowza, AWS Media Services, and streaming protocols such as HLS and DASH is essential, alongside relevant certifications in cloud or streaming platforms. Strong problem-solving abilities, teamwork, and effective communication skills help professionals excel when troubleshooting and collaborating across departments. These skills are crucial for ensuring high-quality, reliable video delivery in a rapidly evolving digital environment.

What are some common daily tasks for professionals working in Video Streaming roles?

Professionals in Video Streaming roles typically monitor and optimize live and on-demand video streams, troubleshoot latency or quality issues, and configure streaming servers or related infrastructure. Their day may also involve collaborating with software developers, content producers, and network engineers to ensure seamless delivery and integration of content. Regular tasks often include analyzing performance metrics, updating software or streaming protocols, and implementing new features or security updates. This dynamic environment requires continuous learning and adaptation to keep up with evolving technologies and viewer expectations.

What are the most commonly searched types of Video Streaming jobs in New York? The most popular types of Video Streaming jobs in New York are:
What are popular job titles related to Video Streaming jobs in New York? For Video Streaming jobs in New York, the most frequently searched job titles are:
What job categories do people searching Video Streaming jobs in New York look for? The top searched job categories for Video Streaming jobs in New York are:
Video Streaming jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

NxT Level

Manhattan, NY • On-site

$133K - $176K/yr

Full-time

Re-posted 22 days ago

Job description

Our client is a public safety product that's looking to add a machine learning engineer to their team. This particular role is focused on NLP/NLU for their real-time audio translation team.
If you're excited about the future of video, audio, video content moderation, and more then you should reach out.
Core Challenges:
  • Mobile Video Streaming: The app is designed to ingest high-quality, low-latency video, transcode, and redistribute it to external media seamlessly.
  • Radio Hardware: Development of proprietary software-defined radio-based devices to capture all radio dispatches in every major city, covering both analog and digital signals.

Preferred Qualifications
  • A degree in Computer Science, Machine Learning, or a related field, or equivalent professional experience.
  • A strong theoretical foundation in core Machine Learning concepts and techniques.
  • Proficiency in fundamental principles of Linear Algebra, Statistics, and Probability.
  • Experience with various ML techniques and frameworks, such as data discretization, normalization, sampling, linear regression, decision trees, SVMs, and deep neural networks.
  • Familiarity with DL software frameworks like TensorFlow or PyTorch.
  • At least 3 years of experience leading and implementing effective ML solutions in large scale production environments.

Technology Environment: Go for Transactional Systems and Python for Analytic Systems running on a Kubernetes Infrastructure in GCP. Database is in Cassandra, MySQL, Redis, and Google PubSub. Web Services are build via React.js and Typescript.

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