Machine Learning Engineer- MSI
Location : Cupertino, California, United States
Job Department : Machine Learning and AI
Posted : Aug 21, 2024
Weekly Hours : 40
Role Number : 200561512
Summary
Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
It takes deeply dedicated, intelligent individuals to maintain and exceed the high expectations at Apple. The Product Operations team is looking for an extraordinary engineer to join our team. You will help design and implement our machine learning strategy to the substantial supply chain and help build the future of our manufacturing systems and smarter factories. We will be collaborating and working with multi-functional teams and applying algorithms to large-scale data.
Description
Product Operations partners with a variety of different engineering and operations teams, our team leads development of machine learning solutions. We deliver projects from end-to-end: problem statement and conceptualization, proof-of-concept, and participation in final deployment!
You will also perform ad-hoc statistical analyses. You will also work closely with data engineers to generate detailed business intelligence solutions. You will be expected to conduct presentations of analyses to a wide range of audiences including executives.
Minimum Qualifications
- 3+ years experience in machine learning algorithms, statistics, and data mining models with an emphasis on large language models.
- Masters in Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field.
Preferred Qualifications
- Understand algorithms (be able to tweak them when needed) as well as infrastructure that enables fast iterations.
- Strong software development skills with proficiency in Python. Experienced user of ML and data science libraries.
- Experience working with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, SQL/NoSQL is a plus.
- Ability to meaningfully present results of analyses in a clear and impactful manner. Able to break down sophisticated machine learning model knowledge’s to digestible information for non-technical audience.
- Proven experience in managing and mentoring teams is a plus.
- Experience in applying ML techniques in manufacturing and testing space is a major plus.
- Proven experience with transformer models such as BERT, GPT, RoBERTa, etc., and a solid understanding of their underlying principles is 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 $143,100 and $214,500, 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.
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. Learn more about your EEO rights as an applicant.
Machine Learning Engineer
Location : Sunnyvale, California, United States
Job Department : Hardware
Posted : Aug 21, 2024
Role Number : 200564002
Summary
Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS technologies. In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation and motion impacting millions of users.
Description
Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics applications. We are actively involved in the whole ML cycle from data collection design and data processing to model design and experiments to validation and QA in the wild. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features on visionOS and iOS platforms. In this role, you will work closely with other ML engineers as well as data and software engineers both internally and multi-functionally.
Minimum Qualifications
- Software engineering skills and proficiency in Python
- Experience with PyTorch
- Independent problem solving skills
- BS degree and 3+ years of experience working on ML projects for computer vision / graphics applications
Preferred Qualifications
- Passion for delivering high quality features to large groups of diverse end-users
- Excellent communication and experience working with multi-functional teams
- Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule
- MS degree in computer vision, computer graphics, machine learning or related field
- PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.
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 $143,100 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.
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. Learn more about your EEO rights as an applicant.
AIML - Software Engineer
Location : Cupertino, California, United States
Job Department : Machine Learning and AI
Posted : Aug 20, 2024
Role Number :200564431
Summary
Apple Intelligence is pushing the boundary of Machine Learning by bringing Generative AI to consumers in a way that enhances people's lives while guaranteeing their privacy and safety. To deliver this technology at the high standards that Apple is known for, we are investing in the foundational ML infrastructure for training and evaluating models in Apple Intelligence. As part of this effort, the Systems team in Siri focuses on improving efficiency of end-to-end ML pipelines in order to both optimize cloud compute resource utilization and maximize engineering productivity. The Systems team combines a wide variety of skills ranging from low-level optimization of CUDA kernels over improving model implementation for better training efficiency to architecting datagen-training-evaluation pipelines.
Description
The Systems team is looking for a skilled and highly motivated ML Software Engineer to support our efforts on training efficiency. In this role, you will be responsible for evaluating and enabling hardware accelerators to optimize the training and inference of deep learning models at Apple. This is a highly cross-functional role that requires close collaboration and coordination with the ML modeling team, compute platform team, and external partners. If you are excited about Machine Learning efficiency and want to have high impact at the core of Apple Intelligence, we want to hear from you!
Key Responsibilities
- Evaluate and integrate hardware accelerators for the training and inference of deep learning models.
- Collaborate with cross-functional teams to prototype and develop solutions that enhance the performance of our ML stack.
- Integrate new technologies (eg. torch. compile, XLA, Model Parallelism, Tensor Parallelism, FP8) into the existing codebase to enable large-scale deployment of ML models, significantly reducing engineering iteration time.
- Profile system performance, identify bottlenecks, and optimize runtime performance.
- Work closely with external partners to ensure smooth integration of hardware accelerators with our existing infrastructure.
- Stay up-to-date with the latest advancements in hardware accelerators and deep learning technologies.
Minimum Qualifications
- Excellent Python coding skills
- Experience with GPUs, TPUs, AWS Trainium
- Familiarity with PyTorch
- Excellent interpersonal skills
Preferred Qualifications
- ML System experience - Large Scale distributed Training and Inference.
- Familiarity with JAX, XLA, HLO, Torch Compile
- Experience implementing/optimizing CUDA kernels
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 $121,909 and $214,500 annualized, 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.
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. Learn more about your EEO rights as an applicant.