Software Engineer or Machine Learning Engineer

Woven by Toyota
United States
24 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$140,000.0 - $230,000.0
Working hours
Regular working hours
Languages
English, Japanese
Job source

Tech stack

Airflow Amazon Web Services Computer Vision Unix C++ (Programming Language) Software Documentation Code Review Data Cleansing Extract Transform Load (ETL) Data Structures Software Debugging Software Design Patterns
+25 more
Linux Distributed Computing Environment Github Python (Programming Language) Machine Learning Motion Planning Tensorflow Azure Machine Learning Software Construction System Programming Multithreading Pytorch Snowflake Apache Spark Deep Learning Parallel Computation Gpu Programming Kubernetes Information Technology Apache Flink Google Bigquery Machine Learning Operations Terraform Docker Amazon Redshift

Job description

The team is looking for a skilled Software Engineer or Machine Learning Engineer to join the Machine Learning Platform team, and work in close collaboration with and/or embedded in our ML teams to accelerate and scale up our overall ML engineering activities, enabling shipping Perception, Prediction and Planning ML models and our AD/ADAS stack to millions of Toyota customer vehicles.

We are looking for individuals who are passionate about self-driving car technology and its potential impact on humanity, and able to leverage cutting-edge technologies to solve real-world problems while also considering ML engineers’ productivity and cost efficiency. We are looking for individuals who exhibit a “giver” mindset, consistently seeking opportunities to assist their colleagues while maintaining a strong focus on delivering solutions to production., * Design, build, maintain, optimize and support the ML Platform’s systems and tools for perception, prediction, and planner development, allowing numerous ML engineers to effectively & efficiently iterate on dataset curation, ML modeling, training, evaluation and deployment of ML models into our functionally safe AD/ADAS stack, shipped in millions of Toyota vehicles.

  • Develop user-friendly tooling, frameworks and libraries to support the overall ML engineering effort, from ML modeling, to tracking performance metrics and introspecting failure modes.
  • Build and maintain efficient dataset generation, cloud training and evaluation pipelines.
  • Develop and review code with other ML and ML Platform engineers to facilitate rapid incremental improvements.
  • Optimize the current processes, tooling and supporting infrastructure to accelerate the overall ML engineering effort, and contribute to the long term strategy for several of our systems and products.

  • Work in a high-velocity environment and employ agile development practices.
  • Work in a hybrid workspace, with the requirement to be present in our Palo Alto (USA) office three days per week.

Requirements

  • BSc / BEng (MS / PhD nice-to-have) in Machine Learning, Computer Science, Robotics or related quantitative fields, or equivalent industry experience.
  • 5+ years of experience with data structures, algorithms, design patterns, and software engineering best practices.
  • 2+ years of experience with UNIX-based systems (Linux or similar), Python, and PyTorch/Tensorflow.
  • 2+ years of experience in the full MLOps cycle covering data cleansing, data sampling, data curation, pre-processing, efficient data loading, distributed training, testing, evaluation, deployment, inference optimization and deployment in the cloud and on edge compute platforms.
  • Experience with Docker and CI systems such as GitHub Actions.
  • Business-level proficiency in English, able to write technical documents (e.g., for software documentation)., * 2+ years of experience with Apache Spark, Airflow, Flyte, Flink, Ray, or similar ML pipelines technologies.
  • 2+ years using modern systems programming languages (e.g., Rust and/or C++) and a modern build system (preferably Bazel), and systems-level debugging knowledge, in a professional environment.
  • Experience with SIMD/SIMT parallelism, GPU programming, multithreading.
  • Experience with Terraform, AWS, Observability, and Kubernetes in production.
  • Experience with Google Big Query, Snowflake or AWS Redshift in production.
  • Experience in optimizing deep-learning models towards specific hardware targets.
  • Experience in self-driving, robotics, computer vision, or motion planning.
  • Experience working in a fast-paced environment, collaborating across teams and disciplines.
  • Business-level proficiency in Japanese.

Benefits & conditions

The base pay for this position ranges from $140,000 - $230,000 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 total compensation offered to an employee will be dependent upon the individual’s skills, experience, qualifications, location, and level., 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

About the company

Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation - expanding what “mobility” means and how it serves society.

Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.

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