Staff ML Engineer, ML Platform
Palo Alto, CA
Woven by Toyota
Woven by Toyota will help Toyota to develop next-generation cars and to realize a mobility society in which everyone can move freely, happily and safely.
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.
TEAMWe 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 yearYour base salary is one part of your total compensation. At Woven by Toyota, we offer a base salary, a bonus, 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 OFFERWe 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.
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.
TEAMWe 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 yearYour base salary is one part of your total compensation. At Woven by Toyota, we offer a base salary, a bonus, 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 OFFERWe 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.
Tags: Architecture Engineering Machine Learning ML infrastructure ML models Privacy Python PyTorch Research Testing
Perks/benefits: Flex vacation Health care Salary bonus Wellness
Region:
North America
Country:
United States
Job stats:
6
2
0
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Principal Data Engineer jobs
- Open Data Manager jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Business Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Research Scientist jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs