Machine Learning Engineer developing and implementing ML models for lending at Blue Whale Lending LLC. Collaborating with teams to enhance data insights and validate model performance.
About the role
- Senior Machine Learning Engineer driving innovations in AI and machine learning for Disney's Ad Platforms. Collaborating with cross-functional teams and mentoring junior engineers.
Responsibilities
- Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery
- Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles
- Design, build, and scale robust ML systems that power core ad platform capabilities
- Champion engineering excellence through best practices in code quality, system design, and operational reliability
- Mentor and support junior engineers, fostering a culture of continuous learning and technical growth
Requirements
- Bachelor's in computer science or equivalent experience
- Minimum 5 years of hands-on experience developing and deploying large-scale machine learning systems
- Strong knowledge of AI/ML technologies, mathematics and statistics
- Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java and SQL
- Familiarity with tools and frameworks such as TensorFlow, Pytorch, Hugging libraries etc
- Proven proficiency in deep learning methodologies, including recurrent and sequence-based models
- Hands-on experience with transformer architectures (e.g., BERT, GPT, ViT) for natural language and vision tasks
- Strong understanding of multimodal embedding techniques for integrating text, image, audio, and structured data
- Experience with LLM models such as GPT models, Claude, Gemini, Llama, etc
- Strong grasp of LLM evaluation methodologies, experience with RAG architectures
- A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required.
Benefits
- A bonus and/or long-term incentive units may be provided as part of the compensation package
- Full range of medical benefits
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