Top 273 Editorial Systems Engineer Jobs

Senior Machine Learning Engineer - Disney Streaming
Disney Entertainment and ESPN Product & Technology —New York, NY
- $148,700 - $199,400 a year
- Computer Science
- Writing skills
- Office
14d
Strategic Technical & Analytics Communications Lead
Peraton —Herndon, VA
- $146,000 - $234,000 a year
- Office
- Master's degree
- Bachelor's degree
- Health savings account
- Paid holidays
8d
Senior Machine Learning Engineer - News
Disney Entertainment and ESPN Product & Technology —New York, NY
- $148,700 - $199,400 a year
- Computer science
- Computer Science
- 5 years
Content Marketing Lead
Master Bond Inc. —Hackensack, NJ
- $95,000 - $115,000 a year
- Full-time
- Hybrid work
- Marketing
- Mid-level
- Bachelor's degree
- Health insurance
- Dental insurance
Quick Apply
4d
Junior Reviewer (Property Condition Reports)
MEDC: Tribal One —Denver, CO
- $22 - $32 an hour
- Full-time
- Hybrid work
- Computer literacy
- Office
- Continuous improvement
- Health insurance
- Paid time off
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8d
Senior Manager, Content Strategy
Genworth —Richmond, VA
- $108,100 - $209,000 a year
- Full-time
- 6 years
- Mentoring
- Senior level
- Paid holidays
- Loan repayment program
14d
Avid Systems Engineer, Sr (Temporary)
Company3 —New York, NY
- $85,000 - $120,000 a year
- Temporary
- System design
- Analysis skills
- Travel
- Health insurance
- Paid time off
Research Operations, External Artifacts
Anthropic —Remote
- $260,000 - $310,000 a year
- Hybrid work
- Research
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- Bachelor's degree
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Senior Clinical Context Engineer
Doctronic —Los Angeles, CA
- $200,000 - $350,000 a year
- Full-time
- Remote
- Medicine
- Internal Medicine
- Urgent Care
Technical Editor (Journeyman)
Joint Research and Development, LLC —Nellis AFB, NV
- $86,000 - $123,000 a year
- Full-time
- Remote
- Microsoft Excel
- English
- Mid-level
- AD&D insurance
- Disability insurance
Quick Apply
Editorial and Administrative Specialist
University of Nevada, Reno —Reno, NV
- Full-time
- Background check
- Mid-level
- Residential
- Health insurance
- Dental insurance
Systems Development Engineer, Production and Post Production Technology
Amazon.com Services LLC —Culver City, CA
- $129,200 - $174,800 a year
- Full-time
- Java
- Analysis skills
- Product management
- AD&D insurance
- Health insurance
Senior Systems Engineer
GPL Technologies —Los Angeles, CA
- Full-time
- Google Workspace
- Azure
- Windows
Quick Apply
Avid Systems Engineer
Company3 —New York, NY
- $35 - $48 an hour
- Full-time
- System design
- Mid-level
- Travel
- Health insurance
- Paid time off
Data Engineer
BDG —New York, NY
- $105,000 - $145,000 a year
- Full-time
- Hybrid work
- Azure
- Mid-level
- SQL
- Health insurance
- Dental insurance
Sr Software Engineer
Disney Entertainment and ESPN Product & Technology —New York, NY
- $148,700 - $199,400 a year
- Computer science
- Computer Science
- 5 years
Editorial Designer
Salesforce —Indianapolis, IN
- Full-time
- 7 years
- No experience needed
- Mid-level
- Paid parental leave
- Disability insurance
Executive Director, Product and Technology
Endpoints News Media Company, LLC —Remote
- $180,000 a year
- Full-time
- Remote
- Senior level
- AD&D insurance
- Disability insurance
Quick Apply
Senior / Staff Documentation Engineer (AI & Docs Tooling)
TetraScience —Boston, MA
- Full-time
- Remote
- Master's degree
- Bachelor's degree
- JavaScript
- Disability insurance
- Paid time off
Quick Apply
Senior ML Ops Engineer
RELX —Philadelphia, PA
- $95,300 - $179,826 a year
- Full-time
- Java
- APIs
- Senior level

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Senior Machine Learning Engineer - Disney Streaming

Disney Entertainment and ESPN Product & Technology
New York, NY

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Job Details

$148,700 - $199,400 a year
14 days ago

Qualifications

AI models
Data Integration (Data management)
Writing skills
Scalable systems
SQL
Production systems
ETL process automation
Machine intelligence
Bachelor's degree
Model deployment
Developing large-scale AI models
Scalability
Machine learning (ML) fundamentals
Python
Stakeholder management
Database software proficiency

Full Job Description

Role Location:

This is an on-site role requiring 4 days in-person at designated office location.

Disney Entertainment and ESPN Product & Technology

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Here are a few reasons why we think you’d love working here:

Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.

Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.

Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity.

Job Summary:

Our team designs and builds models that directly shape the user experience – powering personalization and engagement across our Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. With a strong product mindset and a focus on usability, we ensure every ML-driven product enhances how users discover, interact, and enjoy our experiences.

As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.

This is an Individual Contributor role. You will be expected to lead recommendation and personalization algorithm research, development, and productionization for product areas, and to coordinate requirements and manage stakeholder expectations with Product, Engineering, and Editorial teams. As an IC, you will also be responsible for helping to set the roadmap for algorithmic work — not only for how to approach product requests for new recommendation features, but for helping to drive larger company objectives in the areas of personalization and recommendations.

Responsibilities and Duties of the Role:

Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams
Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets
Development Best Practices: Maintain existing and establish new algorithm development, testing, and deployment standards
Collaborate with product and business stakeholders: Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysis

Required Education, Experience/Skills/Training:

Basic Qualifications

5+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience
5+ years writing production-level, scalable code (Python, SQL)
3+ years of experience developing algorithms for deployment to production systems
In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings
Experience deploying and maintaining pipelines and in engineering big-data solutions using technologies like Databricks, S3, and Spark
Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate
Strong written and verbal communication skills

Preferred Qualifications

MS or PhD in statistics, math, computer science, or related quantitative field
Production experience with developing content recommendation algorithms at scale
Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment
Familiar with metadata management, data lineage, and principles of data governance
Experience loading and querying cloud-hosted databases

Experience with:

AWS, Databricks

Required Education

Bachelor’s Degree in Computer Science, Math, Statistics, or related quantitative field

#disneytech

The hiring range for this position in New York, NY is $148,700 - $199,400 per year and in Santa Monica, CA is $141,900 - $190,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Apply Now

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Editorial Systems Engineer jobs

Senior Machine Learning Engineer - Disney Streaming

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