Email Alert for
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.
Woven by Toyota
Palo Alto, CA, United States
Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City - our test course for advanced mobility - we're bringing greater freedom, safet
Job Source: Woven by ToyotaRobinhood
Menlo Park, CA, United States
Join a leading fintech company that’s democratizing finance for all. Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is lowering barriers and providing greater access to financial information. Together, we are building products and services that
Job Source: RobinhoodApple Inc.
Cupertino, CA, United States
AIML - ML Engineer, Machine Learning Platform & Infra Do you feel you think differently, you are eager to break status quo, are bold and ambitious, aren’t afraid to take risks and are passionate to build the best of class technology. If yes, what better place to be at and do this than Apple? At Apple, “we think different, we push the boundaries
Job Source: Apple Inc.Apple Inc.
Cupertino, CA, United States
AIML - ML Engineer, Machine Learning Platform & Infrastructure Machine Learning and AI To view your favorites, sign in with your Apple ID. 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: Apple Inc.Apple
Cupertino
AIML - ML Engineer, Machine Learning Platform & Infrastructure Cupertino,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 what you could accompl
Job Source: AppleApple
Cupertino
AIML - ML Engineer, Machine Learning Platform & Infra Cupertino,California,United States Machine Learning and AI Do you feel you think differently, you are eager to break status quo, are bold and ambitious, aren’t afraid to take risks and are passionate to build the best of class technology. If yes, what better place to be at and do this than Apple
Job Source: AppleSnap Inc.
Palo Alto, CA, United States
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging
Job Source: Snap Inc.Apple, Inc.
Cupertino, CA, United States
Summary Posted: Jun 26, 2024 Role Number: 200556947 Do you feel you think differently, you are eager to break status quo, are bold and ambitious, aren't afraid to take risks and are passionate to build the best of class technology. If yes, what better place to be at and do this than Apple? At Apple, "we think different, we push the boundaries of
Job Source: Apple, Inc.Palo Alto, CA, United States
Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City - our test course for advanced mobility - we're bringing greater freedom, safety and happiness to people and society.
Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being.
Team
We work in ML training and deployment ecosystem, you will be embedded within the Automated Driving & ADAS team and work directly with Autonomy ML engineers to accelerate development and deployment of ML models while improving their performance in joint projects. Your work will directly improve quality of our production models deployed on cars and serve as a basis to develop tools to support training and deployment of ML models on large scale data. You will work with a set of large-scale and interconnected tools, and help in improving scalability, efficiency, and utility of all aspects of the ML ops ecosystem. You will operate across ML Platform, production model owners, research, and cloud infrastructure to deliver efficient fast tools for integration, testing, and deployment of those models. This role is hybrid and will report to the Engineering Manager located in Palo Alto, CA.
RESPONSIBILITIES:
Develop and integrate SOTA methods for efficient, large-scale training of ML models and support multi-platform deployment including automotive-grade edge compute devices
Operate cross-functionally and serve a dual hat role to identify opportunities to improve production models, for example by improving model architectures and while trailblazing and generalizing involved methods and toolings to empower others
Architect and develop tools for ML model evaluation and end-to-end validation to help ML engineers assess impact of their changes to downstream customers and modules
Improve the utility of our vehicle data by building and improving the infrastructure for data sampling, data curation and data representation; improve versatility of our ML data format to support data reuse across models
Operate cross-functionally and identify bottlenecks such as latency hot spots during training and deployment of ML models, while generalizing needed tools to empower others
Scale our ML Ops architecture to the next level while taking advantage of heterogeneous clusters to maximize resource efficiency
QUALIFICATIONS: ML/ML Ops engineer with extensive experience in building large-scale data intensive distributed applications
Experience in the full ML Ops cycle covering data cleansing, data sampling, data curation, training, testing, and deployment in the cloud and on edge compute platforms
Prior experience of building and shipping ML models in a production environment
Knowledge of SOTA methods in ML infrastructure domain and demonstrated curiosity and track record for keeping up with the literature
Expert Python and PyTorch practitioner
Familiarity with deployment and tuning ML models for edge devices
Familiarity with C++
161,000 - 264,500 a year
Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The California pay scale for this full time position is $161,000 - 264,500. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level.
WHAT WE OFFER
We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.
•Excellent health, wellness, dental and vision coverage
•A rewarding 401k program
•Flexible vacation policy
•Family planning and care benefits
By submitting your application you agree to the following terms: https://woven.toyota/en/applicant-privacy-notice
Our Commitment
•We are an equal opportunity employer and value diversity.
•We pledge that any information we receive from you will be used ONLY for the purpose of hiring assessment.
#J-18808-Ljbffr
Email Alert for Staff Machine Learning Engineer, ML Platform jobs in Palo Alto, CA, United States
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.