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Assistant Disney Plus Streaming Jobs in Michigan

Early Learning Company

MI · On-site

$14 - $14.75/hr

Previous experience working with children in an early childhood setting is a plus. * CPR/First Aid ... Health and Wellness Programs, including counseling services and a free streaming workout ...

Early Learning Company

Assistant Teacher

Hesperia, MI · On-site

$14 - $14.75/hr

Previous experience working with children in an early childhood setting is a plus. * CPR/First Aid ... Health and Wellness Programs, including counseling services and a free streaming workout ...

Ford Motor Company

FPS and Launch Specialist

Dearborn, MI · On-site

$96K - $162K/yr

We are seeking a highly motivated Value Stream Mapping (VSM) Specialist to support manufacturing ... Continuous Improvement & Kaizen Support * Assist in planning and facilitating kaizen workshops at ...

Detroit Chassis LLC

Be Seen First

Production Leader

Detroit, MI · On-site

$70K - $85K/yr

... * Assist Operation Value Stream Leader in forecasting and controlling budget expenditures ... Cross-functional experience in Engineering, Quality, Materials or Production is a plus

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Assistant Disney Plus Streaming information

What does an assistant Disney Plus Streaming do?

An Assistant on Disney Plus Streaming typically provides administrative and organizational support to the Disney Plus streaming team. This role may involve managing schedules, coordinating meetings, handling correspondence, assisting with project management, and supporting marketing or content teams. The assistant may also help with research, data entry, and basic technical troubleshooting. Their work ensures the smooth operation and efficiency of the Disney Plus streaming department.

What are the key skills and qualifications needed to thrive as an assistant Disney Plus Streaming?

To thrive as an Assistant in Disney Plus Streaming, you need strong organizational abilities, attention to detail, and a background in media or digital content management, often supported by a relevant bachelor's degree. Familiarity with content management systems (CMS), digital asset management tools, and streaming analytics platforms is typically expected. Excellent communication, multitasking, and problem-solving skills help you coordinate between teams and address streaming issues efficiently. These skills are vital for ensuring seamless content delivery, supporting team operations, and enhancing the user streaming experience.

How does the assistant Disney Plus Streaming role typically collaborate with other departments to support platform operations?

As an Assistant Disney Plus Streaming team member, you'll often work closely with teams such as content operations, customer support, marketing, and technical support to ensure smooth streaming experiences for users. Your responsibilities may include coordinating release schedules, communicating user feedback, and assisting in troubleshooting platform issues. This collaborative environment allows you to develop cross-functional skills and gain insights into various aspects of digital streaming operations, making it a valuable role for those interested in the entertainment and technology industries.

What is the difference between Assistant Disney Plus Streaming vs Assistant Netflix Content Coordinator?

AspectAssistant Disney Plus StreamingAssistant Netflix Content Coordinator
Required CredentialsHigh school diploma or equivalent; some roles prefer related experienceHigh school diploma; experience in content management preferred
Work EnvironmentMedia streaming platform offices, remote optionsMedia and entertainment offices, remote work possible
Employer & IndustryDisney, entertainment, streaming servicesNetflix, entertainment, streaming services
Common Search & ComparisonYesYes

The Assistant Disney Plus Streaming and Assistant Netflix Content Coordinator roles share similarities in credentials, work environment, and industry. Both support content management and platform operations within major streaming companies. The main differences lie in the specific employer and platform focus, with Disney Plus and Netflix each having unique content strategies and corporate cultures. Candidates interested in streaming service roles should consider these distinctions when exploring opportunities in the entertainment industry.

What are the most commonly searched types of Disney Plus Streaming jobs in Michigan?

The most popular types of Disney Plus Streaming jobs in Michigan are:

What are popular job titles related to Assistant Disney Plus Streaming jobs in Michigan?

For Assistant Disney Plus Streaming jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Assistant Disney Plus Streaming jobs in Michigan look for?

The top searched job categories for Assistant Disney Plus Streaming jobs in Michigan are:

What cities in Michigan are hiring for Assistant Disney Plus Streaming jobs?

Cities in Michigan with the most Assistant Disney Plus Streaming job openings:

Assistant Disney Plus Streaming jobs near you
Infographic showing various Assistant Disney Plus Streaming job openings in Michigan as of June 2026, with employment types broken down into 66% Full Time, and 34% Contract. Highlights an 100% In-person job distribution.

Senior Software Engineer Applied AI

Advanced Monitored Caregiving Inc.

Lansing, MI • On-site

$180 - $240/hr

Other

Re-posted 8 days ago

Job description

Senior Software Engineer: Applied AI (Voice Agents & ML Systems) The pitch

We build and operate production AI voice agents that hold real phone conversations in a regulated healthcare setting, plus the machine learning and LLM pipelines around them. This is one seat that spans four disciplines that rarely come together: real‑time systems, LLM engineering, traditional machine learning, and serious cloud infrastructure, all in production, all with real consequences. If you are the kind of engineer who gets restless doing one thing, this role is the opposite problem.

What you’ll work across
  • Streaming, low‑latency speech‑to‑speech systems built on modern LLMs
  • Telephony and real‑time media (call control, live audio streaming)
  • Audio handling and the quirks of real human conversation (interruptions, timing, noise)
  • Concurrency on a latency‑sensitive path, where p99 matters and a stall is something a caller hears
  • Wrapping nondeterministic models in deterministic control so they behave reliably in production
  • Multi‑model pipelines, prompt design, and cost/latency budgeting
  • Evaluation harnesses, including LLM‑as‑judge and automated agent‑tests‑agent approaches
  • Agentic tooling that gives AI systems safe, structured access to infrastructure
Traditional (non‑LLM) machine learning
  • End‑to‑end ML pipelines: feature engineering, model training, and scheduled inference
  • Imbalanced, messy real‑world data; calibration and explainability for non‑technical consumers
  • Turning research notebooks into reproducible, auditable production pipelines
Cloud and infrastructure
  • Infrastructure as code across multiple environments (we run on AWS)
  • Managed compute, data, streaming, and orchestration services
  • Security engineering in a regulated setting: encryption, least‑privilege access, strict data‑handling discipline
  • Observability and telemetry‑driven debugging, tracing a production issue from a metric anomaly to root cause
Plus

Occasional full‑stack work on internal tools, and an engineering workflow that leans heavily on AI coding assistants, with human accountability for every change.

What you’ll actually do
  • Ship and debug code on a live, real‑time voice pipeline where latency and correctness are user‑facing
  • Design control systems around LLMs: guardrails, budgets, watchdogs, safe fallbacks
  • Build and operate LLM evaluation and batch‑analysis pipelines
  • Own traditional ML workflows from data to scheduled production inference
  • Trace production issues from a metric anomaly to root cause, including building the evidence when the cause is a vendor
Must‑haves
  • 7+ years building and operating production backend systems, with strong general‑purpose programming skills (we work primarily in Python)
  • Experience running distributed systems in the cloud; comfortable debugging from telemetry to root cause
  • Hands‑on production experience with LLMs or generative AI (any provider or framework), plus the judgment to know when not to use a model
  • Working fluency across the traditional machine learning lifecycle (you productionize; you do not need to publish)
  • Disciplined in a regulated environment: small, reviewable changes and careful handling of sensitive data
Nice‑to‑haves
  • Real‑time media or telephony experience
  • Front‑end / full‑stack ability
  • ML pipeline experience, vector search, or embeddings
  • Fluency with AI coding assistants (our workflows assume them, with human accountability for every change)
How we work

Smallest correct change wins. Every behavior change is validated against the live system. Evidence over opinion in debugging. Code review is rigorous. Safety and privacy gate everything.

This role is open only to US citizens and lawful permanent residents (Green Card holders). We cannot consider candidates who require visa sponsorship now or in the future, and we are unable to make exceptions of any kind.

How to apply
  • Your LinkedIn profile URL
  • A phone number where we can reach you

A resume is welcome but optional; the two items above are required.

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