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Apple
San Francisco, CA, United States
AIML - Machine Learning Engineer, Machine Learning Platform & Intelligence San Francisco,California,United States Machine Learning and AI Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling wha
Job Source: AppleApple Inc.
San Francisco, CA, United States
Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish.Do you want to make Siri and Apple products smarter for our users? The Information Intelligence teams are building gro
Job Source: Apple Inc.Stealth
san francisco, ca
Job Description: We are seeking a talented Platform Engineer to join our growing team in San Francisco. As a Platform Engineer, you will play a crucial role in designing, developing, and maintaining the infrastructure that supports our cutting-edge applications and services. You will collaborate with cross-functional teams to ensure scalability, r
Job Source: StealthStealth
San Francisco, CA, United States
Job Description: We are seeking a talented Platform Engineer to join our growing team in San Francisco. As a Platform Engineer, you will play a crucial role in designing, developing, and maintaining the infrastructure that supports our cutting-edge applications and services. You will collaborate with cross-functional teams to ensure scalability, r
Job Source: StealthDatabricks Inc.
San Francisco, CA, United States
Founded in late 2020 by a small group of machine learning engineers and researchers, Mosaic AI enables companies to securely fine-tune, train and deploy custom AI models on their own data, for maximum security and control. Compatible with all major cloud providers, the Mosaic AI platform provides maximum flexibility for AI development. Introduced i
Job Source: Databricks Inc.Scale AI, Inc.
San Francisco, CA, United States
Performant model code, high quality data, and robust evaluation methods form the foundation of an AI system. Scale's leading end-to-end solutions for the ML lifecycle based on real-world data will continue to set the bar for the data-centric AI movement. Scale's Enterprise Generative AI team focuses on building generative ML solutions for some of t
Job Source: Scale AI, Inc.Discord
San Francisco, CA, United States
The Machine Learning Platform team is the foundation that Machine Learning and Data Science at Discord rely on to help our users find belonging in a safe and welcoming space. Our aim is to create the best experience throughout the machine learning workflow, from training to serving. We supplement our platform with core and widely applicable dataset
Job Source: DiscordScale AI
San Francisco, CA, United States
Performant model code, high quality data, and robust evaluation methods form the foundation of an AI system. Scale’s leading end-to-end solutions for the ML lifecycle based on real-world data will continue to set the bar for the data-centric AI movement. Scale’s Enterprise Generative AI team focuses on building generative ML solutions for some of t
Job Source: Scale AISan Francisco, CA, United States
What you can expect
As a Machine Learning Platform Engineer, you'll develop and manage Zoom's AI infrastructure and framework. Enhance AI training, deployment, and operation with improved functionality, capacity, scalability, and reliability. Your role is pivotal in shaping and optimizing Zoom's AI capabilities.
About the Team
Seeking a passionate Machine Learning Platform Engineer to join our AI infrastructure team. Our goal is to manage the entire Machine Learning Platform, including model training and infrastructure. We aim to enhance efficiency, GPU training, and language model inference throughput and latency.
Responsibilities
Developing the Machine Learning Platform management system.
Building the toolchains, service, pipeline for model development workflow, and model serving architecture.
Prioritizing various metrics for model training and inferencing monitoring.
Developing and maintaining the high-performance LLM training GPU infrastructure and cluster.
Understanding the autoscale for inference service and multi-models for dynamical loading.
Supporting, troubleshooting, and resolving any issues during the training and inferencing.
What were looking for
Have completed a Computer Science program or a comparable undergraduate program in a related field.
Possess a deep understanding of AI concepts, Software Engineering or Machine Learning.
Be skilled in Python and PyTorch, with familiarity in Git and software development practices
Experience in cloud computing platforms (e.g., AWS, Azure, Google Cloud). Be able to understand AI concepts and use frameworks like TensorFlow, PyTorch, and Nvidia/CUDA.
Have expertise in Docker, hands-on experience with Kubernetes, YAML, Deployment, ConfigMap, and PV/PVC.
Have experience with operating systems such as Linux and Ubuntu, proficiency in Shell scripting.
Salary Range or On Target Earnings:
Minimum:
$106,500.00 Maximum:
$197,000.00 At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!
Anticipated Position Close Date:
03/15/24 In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Information about Zooms benefits is on our careers page here.
Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations.
Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
Benefits
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.
About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
Were problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, youll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.
Our Commitment?
We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at [email protected].
#LI-Remote
Machine Learning Platform Engineer jobs in San Francisco, CA, United States
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