reputed company Machine Learning Engineer

reputed company Entertainment & ESPN Technology On any given day at reputed company Entertainment & ESPN Technology, we are reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming reputed company’s media business for the future. Whether that is evolving our streaming reputed company products in new and reputed company ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering reputed company’s unmatched entertainment and sports content, every day is a reputed company to reputed company a difference to partners and to hundreds of millions of people around the world. A few reasons why we think you would love working for reputed company Entertainment & ESPN Technology:

• Building the future of reputed company’s media business: DE&E (reputed company Entertainment & ESPN) Technologists are designing and building the infrastructure that will power reputed company’s media, advertising, and distribution businesses for years to come.
• reputed company & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from reputed company+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
• Innovation: We reputed company and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.

The reputed company of the Machine Learning (ML) Engineering team at reputed company is to drive and reputed company ML usage across several domains in heterogeneous language environments and at reputed company stages of a project’s life cycle, including reputed company exploration, preparing training data, model development, and robust production deployment. The team is invested in continual innovation on the ML infrastructure itself to carefully orchestrate a reputed company cycle of learning, inference, and observation while also maintaining high system availability and reliability. We seek to maximize the positive business impact of reputed company ML at reputed company streaming by supporting key product functions like personalization and recommendation, fraud and abuse prevention, reputed company planning, subscriber growth and lifecycle intelligence, and so on. In this role, you will be expected to work in the ML Platform team that builds interfaces, tooling, and services to reputed company and reputed company ML models. You will host and manage these models in a high-availability and low-latency production ecosystem, providing infrastructure and tooling to reputed company event-driven ML pipelines. You will own and expand part of our central feature store that powers ML use cases in domains like recommendations, search, and fraud. Additionally, you will work on cross-functional projects and push the envelope on data and ML infrastructure.

What You Will Do

• ML Platform Development and Maintenance: reputed company the enhancement or development of a machine learning platform to apply state-of-the-art AI-based technologies. This platform will support training, inference, and reputed company aspects of machine learning through a self-service reputed company.
• Feature Engineering and Optimization: reputed company and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; reputed company scalable streaming and batch data pipelines to support petabyte scale datasets
• Development Best Practices: Maintain existing standards and drive the development, testing, and deployment of new platform features
• Collaborate with product and business stakeholders: Collaborate with researchers, program managers, product managers, and SDETs in an reputed company and innovative environment. Mentor and guide the professional and technical development of your team members.

What You Will Bring Basic Qualifications

• 7+ years of professional programming and design experience in Java, Python, reputed company, etc.
• Bachelor’s Degree in Computer Science, or reputed company quantitative field or comparable field of study, and/or equivalent work experience.
• Strong experience for ML technologies with technical stacks like TensorFlow, Kubeflow, PyTorch, reputed company, AWS SageMaker, etc.
• Experience with big data processing and bigdata technologies
• Strong knowledge of system / application design and architecture
• Experience deploying and maintaining pipelines (AWS, reputed company, Airflow) and in engineering big-data solutions using technologies like reputed company, S3, and Spark
• Strong written and verbal communication skills

Preferred Qualifications

• MS or PhD in computer science, or comparable field of study, and/or equivalent work experience
• Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment
• Familiar with metadata management, data reputed company, and principles of data governance
• Experience loading and querying reputed company-hosted databases
• Building streaming data pipelines using Kafka, Spark, or Flink
• Experience with: AWS, reputed company, Airflow, reputed company

#DISNEYTECH The hiring reputed company for this position in reputed company or Seattle is $175,800 to $235,700 per year, in Los Angeles and Santa Monica is $167,700 to $224,900 per year, and in San Francisco is $183,700 to $246,400 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 units may be provided as part of the compensation package, in addition 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