Summary
Posted : Jun 26, 2024
Role Number : 200556947
Do you feel you think differently, you are eager to break the status quo, are bold and ambitious, aren’t afraid to take risks, and are passionate about building best-in-class technology?
If yes, what better place to do this than Apple? At Apple, "we think different, we push the boundaries of computing and intelligence.
We build products that bring smiles to people’s faces."
The Foundation Model Infrastructure team, within the Machine Learning Platform Technologies organization, is the backbone of Apple Intelligence.
It builds frameworks, services, and tools that power the largest Apple foundation models on servers. Our infrastructure powers a wide gamut of services at Apple including Apple Search, Apple Music, AppleTV, AppStore, iMessages, Photos & Camera, Spotlight, Safari, Siri, and upcoming exciting Apple products serving millions of queries every day with incredible low latencies, drawing every ounce of compute from our hardware.
As part of this group, you will get a chance to bring intelligence to billions of users across the world and make a difference in the lives of people.
You will have a chance to work on optimizing billions of parameter language, vision, and speech models using state-of-the-art technologies and make them run at the scale of Apple.
Description
Work alongside the Foundation Model Research team to optimize inference for cutting-edge model architectures.
Work closely with product teams to build production-grade solutions to launch models serving millions of customers in real-time.
Build tools to understand bottlenecks in inference for different hardware and use cases.
Mentor and guide engineers in the organization.
Minimum Qualifications
- 5+ years of experience leading and driving complex, ambiguous projects.
- Experience with high throughput services, particularly at supercomputing scale.
- Proficient in running applications on Cloud (AWS / Azure or equivalent) using Kubernetes, Docker, etc.
- Familiar with GPU programming concepts using CUDA.
- Familiar with one of the popular ML frameworks like PyTorch or TensorFlow.
Preferred Qualifications
- Proficient in building and maintaining systems written in modern languages (e.g., Golang, Python).
- Familiar with fundamental deep learning architectures such as Transformers and Encoder / Decoder models.
- Familiarity with Nvidia TensorRT-LLM, vLLLM, DeepSpeed, Nvidia Triton Server, etc.
- Experience writing custom CUDA kernels using CUDA or OpenAI Triton.
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 $312,200, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become Apple shareholders 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.
More
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
J-18808-Ljbffr
AIML - Machine Learning Engineer/Scientist, Siri Information Intelligence
This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions...
Machine Learning Engineer, Platform & Data
Collaborate with data platform engineers and architects to seamlessly integrate low latency data pipelines into the ML platform for model training. Collaborate with machine learning and data scientists to identify and resolve requirements in order to improve the training cost and turnaround time on ...
SoC Machine Learning Design Engineer
Practical experience and knowledge of generative AI and modern machine learning methods, particularly deep neural networks and reinforcement learning - Solid math background and understanding of algorithms and data structures - Experience with current deep learning frameworks, such as PyTorch, Tenso...
AIML - Software Engineer, Machine Learning Platform & Intelligence
Do you want to make Siri and Apple products smarter for our users? The Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. We design and build infrastructures to support features tha...
AIML - Machine Learning Researcher, Foundation Models
You will work with a close-knit and fast-growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge. We believe th...
Machine Learning Systems Infrastructure Engineer - SIML, ISE
You are either a machine learning industry pro, or an outstanding engineer wanting to expand your horizons and learn more about the nitty gritty of how ML projects are launched from inception to release. In this role, you will be building infrastructure to support product-focused machine learning pr...
ML Engineer - AI Platform Services
We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, ...
Principal Machine Learning Engineer, Ad Ranking
We’re looking for a Principal Machine Learning Engineer to join the Ad Ranking team at Snap!. Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to advertising, recommendation, and/or search domain. Design, implement, and scale critical machi...
AIML - Chief of Staff, Data and Machine Learning Innovation
As part of Apple's AI and Machine Learning org, we encourage and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding. The Data and Machine Learning Innovation (DMLI) team is looking for a passionate program manager ...
Machine Learning Engineer Graduate (MultiMedia - Causal Inference) - 2025 Start (Master)
We are currently seeking a passionate machine learning engineer to join our team. Work cross-functionally with product managers, data scientists, and product engineers to understand insights, formulate problems, design and refine machine learning algorithms, and further drive the exciting growth of ...