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Machine Learning Engineer
2 months ago
We are seeking an exceptional Machine Learning Engineer to join our Product Operations team at Apple. As a key member of our team, you will play a critical role in designing and implementing our machine learning strategy to drive innovation in our substantial supply chain and manufacturing systems.
Key Responsibilities- Develop and implement machine learning solutions to optimize supply chain operations and manufacturing processes
- Collaborate with cross-functional teams to integrate machine learning models into our systems
- Design and deploy large-scale data pipelines to support machine learning initiatives
- Perform ad-hoc statistical analyses to inform business decisions
- Communicate complex technical concepts to non-technical stakeholders
- 3+ years of experience in machine learning algorithms, statistics, and data mining models
- Master's degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, or a related field
- Strong understanding of algorithms and infrastructure required for fast iterations
- Proficient in software development, particularly in Python, with extensive experience in ML and data science libraries
- Experience applying ML techniques in the manufacturing and testing domains
- Hands-on experience with transformer models such as BERT, GPT, RoBERTa
- Proven experience with LLM and LMM development, including fine-tuning
- Proven experience in managing and mentoring teams
At Apple, we believe that new insights have the power to become excellent products, services, and customer experiences very quickly. We're looking for talented individuals who share our passion for innovation and our commitment to excellence.
What We Offer- Competitive base pay and discretionary bonuses
- Comprehensive medical and dental coverage
- Retirement benefits and employee stock programs
- Opportunities for professional growth and development
We are an equal opportunity employer and welcome applications from diverse candidates. Learn more about your EEO rights as an applicant.