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!
Description
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.
In this role, you will build proof-of-concepts that demonstrate ML capabilities in practical contexts, develop strategies for measuring product value, design effective evaluation frameworks, and help build flawless moves between different ML models as technologies evolve. You'll need to think holistically about how ML systems fit into larger product ecosystems and user workflows. You will be successful in our team if you enjoy solving complex technical problems with a product approach, can communicate optimally with diverse partners, and thrive at finding the right balance between ML performance and product requirements. This role requires both technical depth and the ability to see the big picture of how ML brings value for users.
Preferred Qualifications
Experience with Large Language Models (LLMs) and understanding how to optimally integrate them into products
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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
Minimum Qualifications
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
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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 $181,100 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.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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