Senior Software Engineer - Machine Learning

Posted 8 Days Ago
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Seattle, WA
Hybrid
136K-191K Annually
Senior level
AdTech • Digital Media • News + Entertainment
Create the Tech Behind Our Magic
The Role
The Senior Software Engineer will develop and implement machine learning models, collaborate with teams to deploy AI solutions, maintain ML pipelines, and stay updated with advancements in AI. Responsibilities encompass AI application development across Disney's segments.
Summary Generated by Built In

Senior Software Engineer - Machine Learning
Enterprise Technology is an organization within Disney that has a mission to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. The Enterprise Technology organization drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence.
Our business customers encompass all domestic and international businesses and brands across The Walt Disney Company including Disney Studios, Walt Disney Parks & Resorts, ESPN, ABC, Marvel Studios, & Pixar to name a few.
This is an exciting opportunity for a Senior Software Engineer to join the AI/ML Team to develop AI applications and services across Disney segments. The team plays a critical role in managing the product development of AI and ML products across the company. Stakeholders can be found across the company, meeting with and understanding of the stakeholders needs is important for this team.
Responsibilities:

  • Develop and implement machine learning models and algorithms for various applications.
  • Collaborate with cross-functional teams to design, develop, and deploy AI solutions.
  • Optimize and maintain machine learning pipelines and workflows.
  • Conduct research and stay updated with the latest advancements in machine learning and AI.


Qualifications:

  • Python: Proficiency in AI development using libraries such as NumPy, Pandas, TensorFlow, PyTorch, and Scikit-learn.
  • Machine Learning: Strong understanding of supervised and unsupervised learning, regression, classification, clustering, and deep learning.
  • Natural Language Processing (NLP): Knowledge of NLP techniques such as tokenization, stemming, lemmatization, named entity recognition, and sentiment analysis.
  • Computer Vision: Experience with image and video processing, object detection, segmentation, and tracking.
  • Deep Learning: Familiarity with deep learning frameworks such as TensorFlow, PyTorch, and Keras, and experience with convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative models.
  • Vector DBs: Knowledge of vector space models, such as Word2Vec, GloVe, and FastText, and experience with indexing and querying large-scale vector databases.
  • Sentence Transformers: Familiarity with transformer-based models for NLP tasks, such as BERT, RoBERTa, and DistilBERT.
  • Reinforcement Learning: Understanding of reinforcement learning algorithms, such as Q-learning, SARSA, and deep reinforcement learning.
  • Cloud Computing: Experience with cloud platforms such as AWS, Azure, or Google Cloud, and knowledge of cloud-based AI services such as Amazon SageMaker, Azure Machine Learning, and Google Cloud AI Platform.
  • Data Engineering: Experience with data pipelines, data warehousing, and data visualization tools such as Apache Spark, Apache Hadoop, and Tableau.


Experience & Education:

  • • Minimum of 5 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


The hiring range for this position in Seattle, WA is $142,600 to $191,100 and in Burbank, CA $136,038 to $182,490. 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.

Top Skills

Python

What the Team is Saying

Chris
Chase
Jamie
The Company
HQ: Burbank , CA
200,000 Employees
Hybrid Workplace
Year Founded: 1923

What We Do

Innovation is in the DNA of The Walt Disney Company. We not only embrace it, we translate it into experiences you can see and feel. From our groundbreaking work in advanced audio-animatronic robots featured in the Disney theme parks, to streaming services that are redefining entertainment, to inventing tools to create new worlds in our films — The Walt Disney Company has spent nearly 100 years immersing audiences in new and stunning experiences using groundbreaking technology. When next generation technology meets talented people ready to tackle challenges still to be imagined, anything can happen.

Why Work With Us

Every technologist at Disney is essential to helping us create unforgettable experiences and innovative products. Our teams constantly spearhead innovation by incubating cutting-edge ideas into production-ready solutions. At Disney, you’ll make an impact you can see and feel with a team that both supports and challenges your thinking.

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The Walt Disney Company Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
HQBurbank, CA
Bristol, US
New York, NY
Orlando, FL
San Francisco, CA
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