Sr. Machine Learning Solutions Engineer

Our team bridges the gap between machine learning capabilities and user-facing products. We transform advanced ML technologies into valuable features that tackle real customer problems. We're looking for a skilled Machine Learning Solutions Engineer who can work at the intersection of ML research, engineering, and product development to build production-ready AI systems that deliver measurable business value. If you're passionate about making ML models work in real-world applications and can collaborate optimally across technical and non-technical teams, we'd love to talk with you!, As a Machine Learning Solutions Engineer, you'll play a crucial role in our ML product development lifecycle. You'll collaborate with ML researchers, software engineers, product managers, and designers. You'll be responsible for prototyping ML-powered features, evaluating their technical feasibility and business impact, and guiding the implementation process.

Bachelor's degree in Computer Science, Machine Learning, or a related technical field

2+ years of experience integrating ML capabilities into software products

Strong programming skills in Python and experience with ML frameworks

Experience with prototyping, measuring, and iterating on ML-powered features

Understanding of ML evaluation metrics and how they translate to business metrics

Knowledge of modern software development practices and tools

Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders

Preferred Qualifications

Experience with Large Language Models (LLMs) and understanding how to optimally integrate them into products

Practical knowledge of Retrieval Augmented Generation (RAG) systems and their applications

Experience crafting and implementing ML evaluation frameworks that connect to product success metrics

Familiarity with A/B testing and experimental design for ML features

Background in developing successful POC-to-production rollout strategies for ML features

Experience collaborating with cross-functional teams including product management, design, and engineering

Demonstrated ability to balance technical trade-offs with product requirements

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 $212,000 and $318,400, 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.