Senior Machine Learning Engineer / Data Scientist (MSO)

Key Skills

Python Programming, SQL, Machine learning techniques, Data science techniques, Natural Language Processing (NLP), Pandas, BERT, Large Language Models - LLMs

Job Description

We need a talented Machine Learning Engineer/Data Scientist to join our tight-knit team to deliver ML models that operate on human dialog content, medical records, and time-series data. Our org is a fast-paced environment that operates in a strongly privacy-focused, and rapidly-evolving domain.

The ideal candidate will have the ability to conduct self-directed investigation into deep ML problems and come back with robust, workable solutions that can be delivered to customers. They’ll be comfortable collaborating with software engineers, data engineers, and other data scientists on Agile projects in a setting of mutual respect. They’ll also be comfortable working with a broad range of stakeholders, some of whom are not technical but have deep skills in other domains.

A strong candidate will have the skills to communicate their work clearly to their colleagues and to guide engineers on product teams to the right ML solutions to solve problems, whether in terms of model choice or deployment methodology. They’ll also be ready to participate in managing the data ecosystem that drives our org to make sure that the data we’re using makes sense. We’re looking for someone who prides themselves on having adaptable intelligence, a strong team spirit, and who delight in figuring out pragmatic solutions that will touch thousands of lives. Comfort with working in a fast-paced environment where collaboration between teams is critical. We’re looking to find someone with a real passion for innovation and have a knack for seeing around corners.

This is a site-based role.

• Minimum Qualifications
• Minimum of a Masters Degree in Statistics, Data Science, Computer Science, or comparable industry career with significant healthcare experience in machine learning and analytics.
• 4+ years experience in a data science, machine learning, and model development and deployment.
• Proficiency in programming with Python, Pandas, and SQL.
• Familiarity with modern NLP tools and techniques including BERT, LLMs etc.
• Basic familiarity with AWS tools for machine learning, analytics, and data manipulation.
• Strong communication, collaboration, and organizational skills.

Preferred Qualifications

• 6+ years experience in a data science, machine learning, and model development and deployment.
• Strong background in modern NLP tools and techniques including BERT, LLMs, including model training, fine-tuning, etc.
• Deep familiarity with AWS tools for machine learning, analytics, and data manipulation.
• An understanding of ML model measurement and assessment. Skills in RLHF are considered a plus.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.