Overview:
The AI & Anomaly Detection team is responsible for building innovative engineering solutions via powerful artificial intelligence models and explainability capabilities that empower us to achieve high-quality engineering understanding of our applications and consumers.
We are seeking an experienced Software Engineer to join our team focused on harnessing engineering data points via innovative analysis, data science approaches and engineering processes. This role will build and deploy production engineering processes, data science models and data analysis powering engineering insights and quality while uncovering data driven trends to improve our customer experience.
Responsibilities:
Contribute to Rapid prototyping, building and deployment of production level analysis and models to monitor critical datasets and engineering infrastructure in streaming and batch
Work to adopt methods from diverse disciplines such as machine learning, deep learning, artificial intelligence, statistical modelling, information theory, information retrieval and other areas to gain data insights, draw conclusions and work with engineering partners to put those insights into action
Perform development work on model scoring, datapoint quality processes and model deployment ensuring high quality engineering processes and scalability across all practices
Create and deploy scalable API endpoints to provide model scores and data feedback to other applications, engineering processes and teams
Contribute to development work on model scoring, datapoint quality processes and model deployment ensuring high quality engineering processes and scalability across all practices
Understand engineering infrastructure and business processes that power critical systems
Create and manage key engineering health and insight datapoints, providing intelligence into the operations of our engineering infrastructure and ultimately products via visualizations
Perform ad-hoc data analysis as needed to uncover engineering issues or inconsistencies and make recommendations on remediation
Qualifications:
Minimum of 3 years of related work experience
Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
Minimum of 3 years of experience with Python, Spark, Pyspark or Scala is required
High familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow
Applied experience of frameworks like PyTorch, Keras, Tensorflow, etc
Experience operating in an SDLC environment and deploying production engineering models and code
Exceptional interpersonal and written communication skills, able to concisely synthesize complex technical information
Strong analytical and technical skills to troubleshoot issues, perform rapid iteration and quickly come-up with the possible solutions, effectively communicating these to technical and executive audiences across the organization
#DISNEYTECH
The hiring range for this position in New York is $118,000 to $158,200 per year. 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.
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