Machine Learning Engineer
Apple
Full-time
On-site
Austin, Texas, United States
- Engage deeply with business teams to identify opportunities and translate the needs into innovative and practical AI/ML & GenAI applications (e.g., chatbots, text summarization, video processing)
- Foster close collaboration with engineers and infrastructure partners to implement scalable, robust AI/ML & GenAI applications
- Effectively communicate analytical insights to partners and senior leaders, providing clear, actionable recommendations
- Stay updated with the latest trends, technologies, and best practices in AI. Regularly research and present new ideas to improve the team's technical capabilities
- Bachelors degree in Computer Science, Statistics, Applied Math or a related field
- PhD/MS in Computer Science, Statistics, Applied Math or a related field
- 7+ years of industry experience
- Strong problem-solving skills and the ability to tackle novel challenges, combined with strong communication and interpersonal capabilities
- Proven experience with modern deep learning frameworks, e.g., PyTorch, TensorFlow
- Hands-on experience working with transformer-based architectures, e.g., GPT, BERT
- Hands-on experience with RAG, LLM fine-tuning
- Familiarity with GenAI frameworks and tools, e.g., LangChain
- Solid understanding of foundational ML concepts including supervised, unsupervised and reinforcement learning
- Experience with model deployment pipelines and serving GenAI models in production
- Experience working in Supply Chain, Operations, or a related field
- Ability to operate independently and lead without authority