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Zoom Corporation
San 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
Job Source: Zoom CorporationSamsung Electronics Co., Ltd.
Mountain View, CA, United States
Position Summary Role and Responsibilities Role and Responsibilities Samsung Ads is an advanced advertising technology company that is rapidly growing and focuses on enabling advertisers to connect with audiences from Samsung devices as they are exposed to digital media. It uses the industry's most comprehensive data to build the world's smartes
Job Source: Samsung Electronics Co., Ltd.X (formerly Twitter)
San Francisco, CA, United States
Are you prepared to join the X team and help build the ultimate real-time information-sharing app, revolutionizing how people connect? At X, we're on a mission to become a trusted global digital public square, committed to minimal censorship within legal boundaries. Our goal is to empower every user to freely create and share ideas, fostering open
Job Source: X (formerly Twitter)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 theres no telling what
Job Source: AppleApple
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
Summary Posted: Apr 4, 2024 Weekly Hours: 40 Role Number: 200527542 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
Job Source: Apple, Inc.DoorDash
San Francisco, CA, United States
At DoorDash, we're building the on-demand logistics engine of the future. We strive to empower local economies by helping businesses grow, creating flexible earnings opportunities, and connecting you to what you love. We are building foundational Data Platforms, ML Platform, Experimentation and Decision Systems /Frameworks which the product teams a
Job Source: DoorDashDoorDash USA
San Francisco, CA, United States
About the Team At DoorDash, we're building the on-demand logistics engine of the future. We strive to empower local economies by helping businesses grow, creating flexible earnings opportunities, and connecting you to what you love. We are building foundational Data Platforms, ML Platform, Experimentation and Decision Systems /Frameworks which the
Job Source: DoorDash USASan Mateo, CA, United States
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.
At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
As a Machine Learning Platform Engineer you will build the next generation of ML Ecosystem Tooling. You will have an impact on the Roblox platform, and the industry, to the next level of managed E2E ML Pipeline Development and Automation—providing our developers and creators alike the ability to go from an ML idea to production in weeks or less. We are looking for accomplished ML and Systems Engineers to help build the next generation of ML Ecosystem Tooling.
You Are:
Passionate about pushing the technological envelope and venturing into the unknown.
Have a toolchest of system design experience upon which to draw to build scalable, reliable platforms for all of Roblox.
3+ years of professional experience working with scalable, distributed systems.
Well versed with the Model Development Lifecycle from initial ad hoc analysis in notebooks to monitored services in production and back again.
Proficient in DevOps tooling such as Docker, K8S, CI/CD systems
Experience with best practices in developing Platform / Infrastructure APIs
Someone who has built a model in a modern ML framework such as Tensoflow, PyTorch, ML Lib
Experienced with developing data pipelines in a common framework such as Beam / Spark / AirFlow /
Understand best practices around Data and Model management
Have deployed and maintained an ML model in production
Understand the use cases for multiple data processing and storage technologies
Bachelor's degree in Computer Science, Computer Engineering, Data Science or a similar technical field.
You Will:
Design and implement the Developer and Creator facing API for declaring E2E ML Pipelines and Model Experimentation.
Develop the service APIs for ML Infrastructure components--Serving Layer, Metadata Store, Model Registry, Feature Store, and Pipeline Orchestrator.
Work directly with the ML Infrastructure team to identify opportunities for further automation and optimization.
Partner across organizations to build tooling, interfaces, and visualizations that make the ML@Roblox a delight to use.
Have an impact to the state of the Roblox platform, and the industry, to the next level of managed E2E ML Pipeline Development and Automation
Provide our developers and creators alike the ability to go from an ML idea to production in weeks or less.
Have an impact as a part of the team that is building a platform to handle the thousands of model experiments per day needed to support everything from ranking and recommendations, through content moderation and fraud prevention, to studio creative tooling.
For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits.
Annual Salary Range
$233,840 — $283,780 USD
You’ll Love:
Industry-leading compensation package
Excellent medical, dental, and vision coverage
A rewarding 401k program
Flexible vacation policy
Roflex - Flexible and supportive work policy
Roblox Admin badge for your avatar
At Roblox HQ:
Free catered lunches five times a week and several fully stocked kitchens with unlimited snacks
Onsite fitness center and fitness program credit
Annual CalTrain Go Pass
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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Email Alert for Machine Learning Platform Engineer jobs in San Mateo, CA, United States
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