Sr. Machine Learning Data Scientist, Productivity Apps
Apple - Cupertino, CA
posted 2 days ago
About the position
At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Productivity Apps team needs your help shaping the next generation of productivity tools by working on pioneering technologies to surprise and delight pros and enthusiasts alike. You'll be working with our world-class teams behind iWork, Freeform, Notes, and Reminders. You'll have the opportunity to work with world-class designers and engineers to help innovate in the productivity space in ways that only Apple can. This is a highly visible, highly impactful opportunity! As a Machine Learning Data Scientist, you'll be responsible for driving improvements to our machine learning models through our data pipelines and model evaluations. Your contributions will be critical to our success in delivering high-quality features to our customers. You will work with a multidisciplinary team to build machine-based grading models which help reduce annotation costs and turnaround time, and to build pipelines which help automate the assessment of quality of data used for training foundational models and adapter models to power Apple products.
Responsibilities
- Build and integrate grading models into our data and evaluation pipelines.
- Conduct research as appropriate to improve the efficacy of our data curation methodologies.
- Uncover patterns and anomalies in our data using modern statistical and ML-based methods to model data distributions.
- Employ data selection techniques such as novelty detection, active learning, and core-set selection for diverse data types like images, video, layouts, styles, etc.
- Design, build, and run human evaluations of our models.
Requirements
- Strong communication and collaboration skills with a focus on user experience.
- B.S. in Machine Learning, Computer Science, Statistics, or related areas, or equivalent work experience.
- 5+ years of experience with developing and evaluating ML applications, and demonstrated experience in understanding and improving data quality.
- Strong programming skills and hands-on experience using Python, Jax, or PyTorch.
- Experience exploring and evaluating large, semi-structured datasets.
Nice-to-haves
- Proven expertise in machine learning with a passion for model evaluation and applications.
- Experience with natural language processing (NLP), and large language models, such as BERT, GPT, or Transformers.
- Staying on top of emerging trends in LLMs.
- Demonstrated publication record in relevant conferences (e.g. ACL, EMNLP, NeurIPS, ICML, ICLR, etc.).
- Ph.D. in Machine Learning, Computer Science, Statistics, or related areas.
Benefits
- Comprehensive medical and dental coverage
- Retirement benefits
- A range of discounted products and free services
- Reimbursement for certain educational expenses - including tuition
- Discretionary bonuses or commission payments
- Relocation assistance
- Opportunity to participate in Apple's discretionary employee stock programs
- Eligibility for discretionary restricted stock unit awards
- Ability to purchase Apple stock at a discount through Employee Stock Purchase Plan
