Current jobs related to Machine Learning Architect - Seattle, WA - Apple
-
Principal Machine Learning Scientist
2 weeks ago
Seattle, WA, United States Reischling Press, Inc. Full timePrincipal Machine Learning Scientist Preferred Location: Seattle, WA (Hybrid: 1-2 days/week in office). Open to remote for the right candidate About Us At RPI/Blurb, we are transforming how products are created, produced, and delivered worldwide. Every day, our cloud-based platform powers millions of personalized, on-demand items that reach customers with...
-
Senior Machine Learning Engineer
2 weeks ago
Seattle, WA, United States Axon Full timeJoin Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each...
-
Sr. Machine Learning Engineer
2 weeks ago
Seattle, WA, United States Highspot Full timeAbout Highspot Highspot is pioneering the category that is fundamentally changing the way companies increase sales productivity. On a mission to transform the way millions of people work with sales enablement, Highspot is committed to building breakthrough software with a spark of magic. We believe a great place to work is about more than the work - it's...
-
Seattle, WA, United States Stripe Full timeAbout Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead....
-
Machine Learning Engineer
2 weeks ago
Seattle, WA, United States PitchBook Full timeAt PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture...
-
Machine Learning Engineer
2 weeks ago
Seattle, WA, United States PitchBook Full timeAt PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture...
-
Machine Learning Engineer
2 weeks ago
Seattle, WA, United States Apple Full timeWeekly Hours: 40 Role Number: 200627683-3337 Summary The AIML team in Apple Services Engineering is building the future of how millions of users discover, explore, and enjoy music across Apple Music, Siri, Spotlight. Our mission is to help every user find and experience the content they love—effortlessly and personally—by harnessing the potential of...
-
Senior Machine Learning Engineer
2 weeks ago
Seattle, WA, United States Capital Group Full time"I can be myself at work." You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we're committed to fostering a strong sense of belonging in a respectful workplace. We intentionally seek diverse perspectives,...
-
Machine Learning Software Engineering Manager
2 weeks ago
Seattle, WA, United States META Full timeSummary: Meta is seeking a highly motivated and experienced Software Engineering Manager to join our team. As a leader in the tech industry, we are looking for someone who can drive innovation, collaboration, and technical proven experience. Required Skills: Machine Learning Software Engineering Manager Responsibilities: Lead and manage a team of software...
-
Seattle, WA, United States META Full timeSummary: Meta is seeking a highly motivated and experienced Software Engineering Manager to join our team. As a leader in the tech industry, we are looking for someone who can drive innovation, collaboration, and technical proven experience. Required Skills: Machine Learning Software Engineering Manager Responsibilities: Lead and manage a team of software...
Machine Learning Architect
3 weeks ago
Role Number: 200591915-3337
Summary
The System Intelligence and Machine Learning (SIML) organization at Apple is looking for an experienced and visionary Machine Learning Architect to drive technology direction, shape our machine learning strategy, and lead pioneering R&D efforts. In this role, you will define and guide the development of technologies focusing on improving both the quality and performance of advanced large language models (LLMs) and generative AI models for image and video generation.
You will work closely with cross-functional teams, including researchers, engineers, and product leaders, to deliver cutting-edge AI solutions that push the boundaries of generative technologies both on cloud and on edge devices that reach billions of users.
Description
In this ML architect role, the key responsibilities include:
Technology Strategy & Direction: Define the technical roadmap for improving the quality and performance in LLMs and generative models, ensuring alignment with business objectives.
Technology and Industry Leadership: Lead R&D initiatives in areas such as large-scale model optimization, hardware and software co-design, diffusion models, multi-modal AI, and generative video synthesis. Stay up-to-date with advancements in Generative AI to incorporate emerging technologies into our solutions.
Architecture Design: Develop scalable, efficient architectures for training, optimizing, and deploying large-scale LLMs and generative models.
Innovation and Experimentation: Explore and prototype novel techniques in generative AI, including fine-tuning, reinforcement learning with various of reward strategies, transfer learning, and multimodal alignment.
Collaboration and Mentorship: Partner with rest of Apple teams to transition technology breakthroughs into production grade solutions. Guide and mentor machine learning engineers and researchers to foster technical excellence .
Minimum Qualifications
-
Masters, or Ph.D. in Computer Science, or Computer Engineering; similarly related fields, or comparable professional experience
-
Proficiency in toolkits like PyTorch or other deep learning frameworks
-
15+ years in machine learning, with at least 2 years of experience in LLMs, diffusion models, or other generative image/video models
-
Experience in distributed training, model parallelism, and deployment of large-scale generative models
-
Knowledge of techniques such as quantization, distillation, and efficient inference. Experience with deploying large ML models in real world products
-
Strong background in conducting experiments, analyzing results, and iterating on model improvements.
Preferred Qualifications
-
Experience in multi-modal models (e.g., image, video, audio, or motion modalities)
-
Familiarity with emerging technologies such as Mixture of Experts, LoRA, and Retrieval Augmented Generation
-
Strong academic track record with publications in top tier conferences (NeurIPS, CVPR, ICLR, etc)
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
