Apple · 1 month ago
Machine Learning Engineer, Sales Engineering
San Francisco Bay Area
Full-time
Onsite
Senior Level
$147K/yr - $272K/yr
5+ years expApple is a company where great ideas quickly turn into great products and services. They are looking for a Machine Learning Engineer to design and build intelligent systems that enhance Apple’s global partner ecosystem, focusing on developing and deploying machine learning solutions to drive impactful initiatives in Channel Sales.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Design, build, and deploy scalable machine learning and generative AI solutions that power Apple’s global Channel Sales ecosystem
Develop and optimize ML pipelines leveraging LLMs, LMMs, and RAG-based architectures for production-grade applications
Collaborate with cross-functional teams to translate business needs into intelligent, data-driven systems and workflows
Fine-tune and evaluate transformer-based models (e.g., GPT, LLaMA, BERT) for accuracy, performance, and scalability
Prototype and productionize emerging AI capabilities, including agentic workflows and generative assistants
Apply MLOps best practices for model training, deployment, monitoring, and continuous improvement
Ensure secure, compliant handling of sensitive data (including PII) while maintaining Apple’s privacy standards
Qualification
Required
M.S. in Computer Science, Machine Learning, Artificial Intelligence, or a closely related technical field, or equivalent practical experience
5+ years experience developing and deploying machine learning solutions, with a strong focus on Large Language Models (LLMs) or Large Multimodal Models (LMMs)
5+ years experience with LLMs and transformer-based architectures (e.g., BERT, GPT, LLaMA)
Preferred
Proven ability to fine-tune, adapt, and deploy LLMs/LMMs into real-world, production-grade applications
Proficiency in Python and leading ML frameworks such as PyTorch and TensorFlow
Hands-on experience leveraging Hugging Face Transformers and associated libraries
Solid understanding of Retrieval-Augmented Generation (RAG) and practical experience with orchestration frameworks like LangChain or LlamaIndex
Familiarity with distributed computing, cloud platforms (AWS, GCP, Azure), and containerization/orchestration tools (Docker, Kubernetes)
Exceptional problem-solving skills and the ability to articulate complex ML/AI concepts clearly and effectively to diverse audiences
Experience extending beyond traditional LLMs/LMMs to include agent-based systems and agentic workflows
Proficiency with advanced LLM serving and inference frameworks, ensuring scalable and efficient model deployment
Practical experience building sophisticated RAG applications and orchestrating complex LLM pipelines from inception to deployment
Working knowledge of distributed systems and cloud-native infrastructure
Expertise in optimizing transformer-based architectures (e.g., BERT, GPT, LLaMA) for low-latency, high-performance inference
Demonstrated ability to communicate complex technical results and ML/LLM concepts with clarity and impact to both technical and non-technical stakeholders
Experience applying ML methodologies in specific domains, such as sales
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
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10001+ employees
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase