The Role
The MLOps Engineer will develop and implement scalable MLOps pipelines, maintain ML training environments, and address challenges in machine learning workflows.
Summary Generated by Built In
TEAM
Woven by Toyota develops, implements, and scales human-centered automated driving solutions for personal and commercial use. Our team is responsible for developing perception technologies and its production software for the AD/ADAS system. To realize a fully reliable and highly functional system, we are tackling complex real-world problems utilizing large scale data, machine learning algorithms, and a variety of perception technologies.
WHO ARE WE LOOKING FOR?
The ideal candidate is self-motivated to find solutions to complex real-world problems, and makes an impact while contributing to a cross-functional team. You will combine cutting-edge technologies with robust safety standards while also considering cost efficiency. Also, you have patience to tackle the processes required for production development and approach them by asking “What can I do for you?” with a “Giver” mindset.
RESPONSIBILITIES
- Address large scale challenges in the machine learning workflow, especially around data pipeline, continuous integration, evaluation, and deployment on an embedded system
- Architect and implement scalable MLOps and DevOps pipelines in the cloud with CI/CD best practices
- Maintain ML training environment such as host configuration, docker image, training code, and dataset
- Manipulate high-volume, high-dimensional structured data from driving logs for training and evaluating the perception stack
- Develop visualization, analytics, and monitoring for the perception stack
- Help ensure surrounding elements for ML systems are implemented to a high security standard
MINIMUM QUALIFICATIONS
- BS/MS in Computer Science or the equivalent in experience with evidence of exceptional ability
- 3+ years of experience with software development especially in MLOps, DevOps, or related areas
- Professional experience with building software on cloud platforms
- Professional experience with ML infrastructure, CI/CD, and visualization tools
- Business-level English
NICE TO HAVES
- Knowledge of deep learning models and techniques, especially in computer vision
- Experience with DevOps tools (e.g. GitHub Actions), MLOps tools (e.g. SageMaker, Kubeflow, Flyte), and infrastructure management tools (e.g. k8s, Terraform)
- Experience with databases (Relational, Key-value, Document), data warehouse (e.g. Snowflake, BigQuery) and data transformation (e.g. Spark, Ray)
- Knowledge or strong interest in application security and infrastructure security
If you are located outside of Japan we will set up an interview over Google Hangout Meet.
Top Skills
BigQuery
Ci/Cd
Cloud Platforms
DevOps
Docker
Flyte
Github Actions
Kubeflow
Kubernetes
Machine Learning
Mlops
Ray
Sagemaker
Snowflake
Spark
Terraform
Am I A Good Fit?
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The Company
What We Do
Woven by Toyota will help to deliver the safest, most intelligent mobility experiences and lifestyle for Toyota customers everywhere. At Woven by Toyota, we envision a human-centered future, where world-class technology expands global access to mobility, enhances the capabilities of drivers, and empowers people to thrive. We achieve this with a unique global culture that weaves modern Silicon Valley innovation with Japanese quality craftsmanship. As society, technology and customer needs evolve, we continuously pursue new ways to create a more personal, seamless experience for customers.
