Senior Machine Learning Engineer - Generative AI FocusThe Walt Disney Company • United States
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Senior Machine Learning Engineer - Generative AI Focus
The Walt Disney Company
- United States
- United States
Über
Our teams are at the forefront of designing products and platforms that ensure our media, advertising, and distribution business flourish for years to come. Global Reach & Impact:
Disney's technology underpins vital connections between fans and the cherished stories they love, making our products resonate with audiences internationally. Culture of Innovation:
We are committed to pioneering cutting-edge products and solutions to tackle unique technical challenges within the industry. The Ad Platforms team is at the helm of Disney's advanced advertising technology, optimizing performance and fostering innovation across our captivating sports, news, and entertainment sectors. We are searching for a passionate Senior Machine Learning Engineer focused on generative AI applications, such as generative mixed media, language models, and advanced multimodal technologies. Your expertise will also extend to traditional machine learning applications, devising classical ML models to enhance our advertisement marketplace. Your mission, should you choose to accept it, is to elevate the capabilities of AI and machine learning within Ad Platforms. You will deliver high-impact AI/ML and data science solutions geared toward advancing generative advertisement creation while supporting traditional AI applications for marketplace optimization and performance forecasting. Key Responsibilities: Develop, optimize, and put into production innovative technologies in generative AI, including mixed media, video, and language applications, as well as traditional ML modeling. Create, evaluate, and refine these technologies to improve outcomes. Drive forward-thinking applications of AI and ML within advertising, covering aspects like inventory forecasting, ad experience, and efficient ad delivery. Invent and iterate on smart solutions for complex advertising challenges with rapid development cycles. Design and scale resilient ML systems to empower core ad platform functionality. Promote engineering excellence through adherence to best practices in code quality and system reliability. Mentor junior engineers to foster a culture of continuous learning and technical growth. What You Bring: Bachelor's degree in Computer Science or related field. A minimum of 5 years in developing and deploying large-scale machine learning systems. Hands-on experience in generative AI modeling domains such as image, video, audio, or language models. A strong appetite for self-directed learning, particularly in generative modeling methodologies. Experience in creating ML datasets, especially in computer vision or generative AI, with a keen understanding of quality evaluation processes. Experience in developing language-processing applications, or a genuine willingness to learn. Familiarity with rapid prototyping using generative AI is a bonus. Strong grounding in AI/ML technologies, mathematics, and statistics. Exceptional communication and collaboration skills with both technical and non-technical audiences. Proficiency in algorithms, data structures, and programming in Python, Java, and SQL. Experience with deep learning frameworks such as TensorFlow, Pytorch, and Hugging Face. Solid familiarity with traditional ML modeling techniques. Proven expertise in deep learning practices and transformer models. A track record of thriving in fast-paced, data-driven environments is essential. Preferred Qualifications: Master’s or PhD in Computer Science or related field preferred. Experience collaborating closely with UX and design teams on generative AI products. Experience with multimodal models and embedding techniques. Background in digital video advertising or marketing is a plus. Location:
Seattle / Santa Monica / Glendale The hiring range for this position in the Los Angeles, CA area is $141,900 to $190,300 per year and in Seattle, WA is $148,700 - $199,400 per year. Actual base pay offered will depend on factors such as internal equity, geographic region, and job-related skills and experience. Additional compensation may include bonuses and/or long-term incentives as part of the benefits package. Job ID:
10142043 Join us in crafting the future of Disney as we strive to merge creativity and technology in unparalleled ways!
Sprachkenntnisse
- English
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