At a Glance
- Tasks: Lead innovative machine learning projects to enhance user experiences on Disney's streaming platforms.
- Company: Join Disney Entertainment and ESPN, where we create magical viewing experiences for millions worldwide.
- Benefits: Enjoy competitive pay, bonuses, and a range of medical and financial benefits.
- Why this job: Be part of a fast-paced team driving cutting-edge technology in the entertainment industry.
- Qualifications: 7+ years in tech, with expertise in ML/AI, Python, and Javascript required.
- Other info: Opportunity to mentor others and shape the future of digital media.
The predicted salary is between 100000 - 140000 ÂŁ per year.
About the Role & Team
On any given day at Disney Entertainment and ESPN Product & Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming our media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to enhance flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.
A few reasons why we think you’d love working here:
- Building the future of Disney’s media: DEEP&T Technologists are designing and building the infrastructure that will power our media, advertising, and distribution businesses for years to come.
- Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ESPN and ESPN+, and much more.
- Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.
The Commerce, Growth & Identity (CGI) organization is dedicated to three business-critical areas at Disney that will help transform its media business. We build innovative and cutting-edge capabilities to drive subscriptions, engagement, and monetization across Disney's streaming and digital products. We enable the wide range of Disney brands to connect and engage with consumers through a unified identity, powered by shared services that are trustworthy and seamless to integrate with.
The Disney Entertainment and ESPN Product & Technology (DEEP&T) Commerce, Growth and Identity Client Engineering organization delivers experiences across Disney+, Hulu, ESPN+, and Star+ built on a common platform and shared technology. We are a fast-paced and fast-growing organization that shares knowledge and code for initiatives throughout Disney!
Our mission: Building inclusive user-centered experiences that welcome users, guiding them through a seamless journey from login to sign up, and facilitating effortless account management. As a member of the DEEP&T Web Commerce team, you’ll build the core sign-up, purchase, and subscription management experiences of our Web platform. You will serve as a high-level technical resource and “go-to” person, solving sophisticated technical challenges and finding opportunities to improve systems, products, and services!
What You Will Do:
- Drive ground-breaking innovation and apply state of the art machine learning models to boost conversions on Hulu, Disney+, and ESPN+.
- Improve developer efficiency by using development data to improve workflows and code quality.
- Develop scalable and efficient methods for large scale data analysis and model development.
- Build and experiment brand new algorithms and models end-to-end through production rollout and continuous optimization.
- Partner with product teams to define product strategies and drive direction.
- Develop new approaches and provide leadership to the organization to invent and implement visions for the client team.
- Mentor team members on machine learning, prompt engineering, and data analysis.
Required Qualifications & Skills:
- 7+ years of experience in a technical field.
- Understanding of ML/AI technologies, mathematics, and statistics.
- Proficient with Python and Javascript.
Preferred Qualifications & Skills:
- MS or higher degree in computer science or related field.
- 4+ years of working experience on machine learning and artificial intelligence at leading internet companies.
- Knowledge of or experience with industry tools like PyTorch, Tensorflow, LangChain, and LlamaIndex.
- Expertise in embeddings, Retrieval-augmented generation (RAG), Reinforcement learning from human feedback (RLHF), prompt engineering, and fine tuning.
Education:
Bachelor’s in Computer Science (or related field) and/or equivalent work experience required.
The hiring range for this position in Los Angeles, CA is $167,700 to $224,900 per year, in Seattle, WA is $175,800 to $235,700 per year, in San Francisco, CA is $183,700 to $246,400 per year, and in New York City, NY is $175,800 to $235,700 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.
Lead Machine Learning Engineer employer: Disney Cruise Line - The Walt Disney Company
Contact Detail:
Disney Cruise Line - The Walt Disney Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with Disney's products like Disney+, Hulu, and ESPN+. Understanding their unique features and user experiences will help you tailor your discussions during interviews, showcasing your genuine interest in the company.
✨Tip Number 2
Network with current or former employees of Disney Entertainment and ESPN. Engaging with them on platforms like LinkedIn can provide you with insider insights about the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Stay updated on the latest trends in machine learning and AI technologies. Being able to discuss recent advancements or case studies relevant to Disney's business can set you apart as a knowledgeable candidate who is passionate about innovation.
✨Tip Number 4
Prepare to demonstrate your technical skills through practical examples. Be ready to discuss specific projects where you've applied machine learning models or improved workflows, as this will highlight your hands-on experience and problem-solving abilities.
We think you need these skills to ace Lead Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and software development. Emphasise your proficiency in Python and Javascript, as well as any experience with tools like PyTorch or Tensorflow.
Craft a Compelling Cover Letter: In your cover letter, express your passion for innovation in media technology. Mention specific projects or experiences that demonstrate your ability to drive ground-breaking innovation and improve developer efficiency.
Showcase Your Technical Skills: Include a section in your application that details your technical skills, particularly in ML/AI technologies, mathematics, and statistics. Highlight any experience you have with embeddings, RAG, RLHF, and prompt engineering.
Prepare for Technical Questions: Anticipate technical questions related to machine learning models and algorithms. Be ready to discuss your approach to developing scalable methods for data analysis and model development during potential interviews.
How to prepare for a job interview at Disney Cruise Line - The Walt Disney Company
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning and AI technologies in detail. Highlight specific projects where you've applied these skills, especially using tools like PyTorch or TensorFlow, as this will demonstrate your hands-on knowledge.
✨Demonstrate Problem-Solving Skills
Expect to face technical challenges during the interview. Practice explaining your thought process when tackling complex problems, particularly in areas like model development and data analysis. This will show your ability to think critically and innovate.
✨Understand the Company’s Vision
Familiarise yourself with Disney's media landscape and their approach to technology. Being able to articulate how your skills can contribute to their mission of enhancing user experiences on platforms like Disney+ and Hulu will set you apart.
✨Prepare for Leadership Questions
As a lead engineer, you'll be expected to mentor others. Be ready to discuss your leadership style and provide examples of how you've guided teams in the past, particularly in machine learning contexts. This will highlight your capability to lead and inspire.