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Remote Disney Plus Streaming Jobs in Massachusetts

Reachdesk Ltd

FP&A Manager

Boston, MA · On-site +1

FP&A Manager United States (Remote) About Us Reachdesk is the first truly end-to-end SaaS global ... Develop unit economics and margin analysis by revenue stream, including gifting wallet and sourcing.

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ICONSTAFF

Backend Engineer/FullStack

Cambridge, MA · On-site +1

$140K - $220K/yr

... caching, streaming) * Experience with Docker; Kubernetes knowledge is a plus * Passion for ... Remote work stipend * Generous PTO Next Steps If you're interested in working on challenging ...

Magnite

Senior Engineer

Boston, MA · On-site +1

$135K - $175K/yr

Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work ... Familiarity with Advertising Technology challenges and solutions is a strong plus. * An eagerness ...

EnerSys

$95K - $119K/yr

Paid time off plus paid holidays * Medical/dental/vision insurance plan * Life insurance, short ... Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ...

Mimecast

Cloud Partner Manager, Americas

Lexington, MA · On-site +1

$104K - $156K/yr

Cloud Partner Manager, Americas - Hybrid local to Lexington, MA or open to remote candidates in the ... Familiarity with managing renewals and driving recurring revenue streams * Strong understanding of ...

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All JobsDisney Plus Streaming JobsRemote Disney Plus Streaming JobsRemote Disney Plus Streaming Jobs in Massachusetts

Remote Disney Plus Streaming information

Does remote Disney Plus streaming work allow you to work remotely?

Remote Disney Plus streaming work typically involves tasks such as content moderation, technical support, or data analysis, which can often be performed remotely if the employer provides the necessary tools and secure access. Many companies in media and entertainment offer remote roles that require strong communication skills and familiarity with streaming platforms, but specific job requirements vary by position and employer policies.

What is a remote Disney Plus streaming job?

A Remote Disney Plus Streaming job typically involves providing customer support or technical assistance for Disney Plus users from a remote location. Employees in these roles help customers troubleshoot streaming issues, manage account settings, and answer questions about Disney Plus content or subscriptions. These positions may also involve monitoring streaming quality, reporting technical issues, and ensuring user satisfaction. Working remotely allows employees to perform these tasks from home or another suitable location using internet-connected devices.

What are the key skills and qualifications needed to thrive as a streaming support specialist for Disney Plus?

To thrive as a Streaming Support Specialist for Disney Plus, you need strong customer service skills, troubleshooting abilities, and familiarity with streaming platforms, typically supported by experience in technical or customer support roles. Proficiency with customer relationship management (CRM) systems, ticketing tools, and knowledge of common streaming devices and apps is essential. Excellent communication, patience, and problem-solving skills help you effectively resolve customer issues and ensure satisfaction. These skills are crucial for delivering seamless user experiences and maintaining high customer retention in a competitive streaming market.

What are some common challenges faced by remote Disney Plus streaming support agents, and how can they be managed effectively?

Remote Disney Plus Streaming support agents often encounter challenges such as troubleshooting diverse technical issues across various devices, managing high volumes of customer inquiries, and maintaining effective communication with team members virtually. To manage these challenges, agents should stay updated on the latest platform updates, use clear communication skills, and leverage available company resources and training modules. Team collaboration tools and regular virtual check-ins can also help maintain a supportive remote work environment.

What is the difference between Remote Disney Plus Streaming vs Remote Content Moderator?

AspectRemote Disney Plus StreamingRemote Content Moderator
Required CredentialsStreaming platform knowledge, basic tech skillsAttention to detail, content policies knowledge
Work EnvironmentHome or remote, tech-focusedHome or remote, customer service or content review
Employer & IndustryMedia/Entertainment streaming servicesMedia, social media, or online platforms

Remote Disney Plus Streaming involves managing or operating streaming services, focusing on platform functionality and user experience. Remote Content Moderators review user-generated content to ensure compliance with policies. While both roles are remote and industry-related, Disney Plus Streaming emphasizes platform management, whereas Content Moderators focus on content review and policy enforcement.

What are the most commonly searched types of Disney Plus Streaming jobs in Massachusetts? The most popular types of Disney Plus Streaming jobs in Massachusetts are:
What are popular job titles related to Remote Disney Plus Streaming jobs in Massachusetts? For Remote Disney Plus Streaming jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Disney Plus Streaming jobs in Massachusetts look for? The top searched job categories for Remote Disney Plus Streaming jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Disney Plus Streaming jobs? Cities in Massachusetts with the most Remote Disney Plus Streaming job openings:
Remote Disney Plus Streaming jobs near you

Research Engineer, Frontier Capabilities

Lila Sciences

Cambridge, MA • On-site, Remote

Other

Re-posted 28 days ago

Job description

Your Impact at LILA

The AI Research team is tackling one of the most exciting, open problems in AI: training LLMs to run long-horizon scientific discovery tasks. Our approach spans the full post-training stack - from SFT to asynchronous RL on agentic harnesses - teaching models to plan, use tools, and learn from experience in domains where the ground truth isn't a preference label, but a scientific result.

We're rapidly growing our Research Engineering org and seeking talented engineers and ML practitioners across levels to design, build, and optimize systems to push this frontier: scaling post-training, sharpening reasoning, and unlocking compute-intensive agentic-harness training. This is a rare chance to join an early team with the autonomy, flexibility, and compute to tackle frontier science problems.

We operate with high agency, and a bias toward execution. Below are several focus areas within the team. We ask that candidates select the stream that best matches their experience and excitement.

Work Streams

Stream A: GPU Optimization & Training Performance

Maximize hardware utilization across 100B+ parameter asynchronous RL training runs. Responsibilities include profiling, performance optimization, custom kernel development, communication-computation overlap, and long-context throughput improvements. You set and maintain the performance baseline.

Stream B: Stack & Infrastructure

Own the post-training infrastructure end-to-end - supervised fine-tuning, asynchronous RL with tool integration, and data pipelines. Build modular, reproducible workflows with single-command execution. Manage upstream framework upgrades and deliver composable pipelines spanning Data, SFT, and RL stages. You work tightly with Research Scientists to develop and productionize novel algorithms to run at scale.

Stream C: Model Experimentation

Bring deep, hands-on experience training large language models. Lead experimentation on reasoning model development, including mixture-of-experts stabilization, curriculum design, and synthetic reasoning trace generation. You have a bias toward experimental design and tracking, and know how to prioritize runs that yield promising outcomes.

Stream D: Evaluations & Benchmarks

Design and build best-in-class scientific agentic benchmarks and harnesses, along with the dashboards and leaderboards that inform every training decision. You have experience working with well known public benchmarks and have spent time building bespoke agentic benchmarks and harnesses.

Stream E: Agentic Capabilities & Frontier Research

Train models capable of planning, exploration, and tool use over extended horizons. Advance the state of the art in RL at scale with tool-calling, subgoal decomposition, and shared memory/skills across trials to expand the frontier of scientific agent capabilities.

What You'll Need to Succeed

  • Strong software engineering skills in Python; C++/CUDA a plus
  • Experience with distributed ML training frameworks (Megatron-LM, TorchTitan, DeepSpeed, Ray)
  • Understanding of large-scale model training techniques for 100B+ models
  • Experience with cloud or HPC environment
  • Ability to communicate technical results to internal and external stakeholders

Bonus Points For

  • Prior work with large scale scientific datasets or domain-specific modeling
  • Contributions to open-source ML frameworks
  • Experience with RL post-training (RLHF, GRPO, tool-augmented RL)
  • Experience training MoE architectures

Location

San Francisco, CA or Cambridge, MA (Remote, Hybrid, and On-Site available depending on team needs).

Apply