Master Thesis focusing on developing machine learning models for lithium - ion cell sorting at Fraunhofer LBF. Involvement in innovative projects addressing circular economy in battery recycling.
About the role
- Lead Machine Learning Engineer at Disney applying AI and machine learning to enhance advertising capabilities. Collaborating with teams to build robust ML systems and drive innovation.
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 7 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 Databricks, TensorFlow, Pytorch, Hugging libraries etc.
- Proven proficiency in deep learning methodologies, including recurrent and sequence-based models.
- 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.
- A full range of medical, financial, and/or other benefits, dependent on the level and position offered.
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