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
- 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
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Machine Learning Engineer designing and implementing AI systems focused on Japanese language challenges at Woven by Toyota. Involves technical R&D, system design, and collaboration with cross - functional teams.
Principal Software Engineer leading MLOps within Analytics Platform at Sun Life. Focused on AWS and machine learning operations, collaborating across technical and business teams.
Machine Learning Engineer designing and optimizing deep learning models for safety - critical environments at Destinus. Shaping the future of high - speed, autonomous flight technologies.
Machine Learning Engineer optimizing personalization systems for Spotify's audio streaming service. Collaborating with cross - functional teams to enhance user experience and deliver recommendations.
Principal Machine Learning Engineer developing ML and GenAI solutions in a cloud - native environment at Flexera. Leading a high - impact team and driving operational excellence for ML infrastructure.
Senior ML Platform/Ops Engineer at Preply building and maintaining ML pipelines, collaborating with ML Scientists and Data Engineers.
Senior ML Platform/Ops Engineer building ML systems for AI - powered learning at Preply. Productionizing machine learning with high reliability, performance, and observability in a hybrid environment.
Senior ML Platform/Ops Engineer building AI - powered ML pipelines for a dynamic Ed - Tech company. Collaborating with ML scientists and engineers to ensure reliable deployment and observability.
Machine Learning Engineer developing advanced Deep Learning models for autonomous driving technology at Mobileye. Collaborating in a high - end algorithmic engineering team on critical computer vision challenges.