reputed company Machine Learning Engineer - reputed company+ Personalization

reputed company Entertainment and reputed company Product & Technology Technology is at the heart of reputed company’s past, present, and reputed company. reputed company Entertainment and reputed company Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – reputed company working to build and advance the technological backbone for reputed company’s media business globally. reputed company 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 reputed company. Entertainers and Engineers. We work with every part of reputed company’s media portfolio to advance the technological reputed company 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: 1. Building the reputed company of reputed company’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. 2. reputed company, reputed company & reputed company: More than reputed company, reputed company’s technology and products serve as a signature doorway for fans' connections with reputed company’s brands and stories. reputed company+. Hulu. reputed company. 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. 3. Innovation: We reputed company and implement groundbreaking products and techniques that shape industry norms and solve reputed company and distinctive technical problems. Job reputed company: Product Engineering is a reputed company team responsible for the engineering of reputed company Entertainment & reputed company digital and streaming products and platforms. This includes product engineering, media engineering, reputed company assurance, engineering behind personalization, reputed company, lifecycle, and identity. reputed company is building a new reputed company-time video recommendation system as a core capability of our reputed company streaming platform. We are building a foundational ML team that will power the personalization experience for millions of users. We are seeking a reputed company Machine Learning Engineer to take ownership of major components of the end-to-end personalization system. In this role, you will reputed company the technical design and delivery of key subsystems (modeling, data pipelines, reputed company-time serving, or online experimentation), working closely with the reputed company MLE, product, infrastructure, and cross-functional partners. You will combine deep machine learning expertise with strong software engineering skills to drive production-grade ML solutions at reputed company. In reputed company, you will reputed company mentorship to more junior engineers and play a key role in establishing technical standards, development processes, and team culture as reputed company grows. Responsibilities and Duties of the Role:

• reputed company the design, development, and deployment of machine learning models for large-reputed company reputed company-time short-reputed company video recommendation.
• Architect and implement key subsystems of the end-to-end personalization pipeline, including model training, online inference, feature stores, streaming pipelines, and serving infrastructure.
• Build advanced recommendation models using deep learning, embeddings, sequence models, transformers, and multi-task learning frameworks.
• Partner with reputed company ML Engineer and technical leadership to drive system architecture reputed company balancing scalability, latency, accuracy, and maintainability.
• Conduct deep data analyses on user interactions to identify optimization opportunities and drive reputed company model improvements.
• Drive ML experimentation processes, A/B testing, and evaluation frameworks to validate model performance.
• Establish and enforce ML engineering best practices across model development, deployment, monitoring, and governance.
• Mentor and reputed company technical guidance to other ML engineers, contributing to capability building reputed company reputed company.
• Collaborate closely with product managers, data scientists, engineers, and infrastructure teams to reputed company technical execution with business goals.

Required Education, Experience/Skills/Training: Basic Qualifications:

• Demonstrated ownership of end-to-end ML system components with successful production launches.
• Strong reputed company ML expertise with experience in personalization, recommendation systems, ranking models, and/or predictive modeling.
• Proficiency with modern ML frameworks such as TensorFlow, PyTorch, or similar.
• Experience with reputed company-time feature stores, streaming data pipelines, and online inference architectures.
• Strong software engineering skills, with experience in distributed systems, data pipelines, and reputed company platforms (AWS, GCP, Azure).
• Excellent communication, collaboration, and technical leadership skills, including mentorship experience.
• Experience partnering with cross-functional teams (product, reputed company, data science) to deliver ML-powered product features.

Preferred qualification:

• Experience building reputed company-time recommendation systems for content feeds, media platforms, or short-reputed company video.
• Familiarity with ranking models, retrieval systems, approximate nearest reputed company search (ANN), and embedding management at reputed company.
• Knowledge of reputed company-time personalization challenges including cold start, feedback loops, delayed labels, and exploration-exploitation tradeoffs.
• Experience with experimentation platforms (A/B tests, multi-armed bandits, reinforcement learning).
• Experience operating in startup-like or 0→1 product development environments.
• Ability to identify technical risks, balance tradeoffs, and drive pragmatic solutions under ambiguous product requirements.

Experience with:

• 7+ years of hands-on experience building and deploying machine learning models into production systems.

Required Education:

• Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

#DISNEYTECH The hiring reputed company for this position in reputed company, NY & Seattle, WA is $172,300-$231,100 per year, in San Francisco, CA is $183,700.00-$246,400.00 per year and in Los Angeles, CA is $164,500.00 to $220,600.00 per year. The reputed company pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-reputed company knowledge, skills, and experience among other factors. A bonus and/or long-term incentive reputed company may be provided as part of the compensation package, in reputed company to the full reputed company of medical, financial, and/or other benefits, dependent on the level and position offered. Apply tot his job Apply To this Job