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Full-Time

Staff Machine Learning Engineer

ML Platform

Confirmed live in the last 24 hours

Woven

Woven

1,001-5,000 employees

Develops next-generation cars and mobility technologies

Automotive & Transportation

Compensation Overview

$161k - $264.5kAnnually

+ Short Term Incentives + Long Term Incentives

Senior, Expert

Palo Alto, CA, USA

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Python
Pytorch
Requirements
  • 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++
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

Woven by Toyota focuses on developing next-generation cars and advancing the Toyota Mobility Concept, integrating technologies such as the ARENE vehicle software OS and AD/ADAS technology for safer driving. The company aims to create a mobility society where everyone can move freely, happily, and safely, utilizing scalable geospatial data for situational understanding.

Company Stage

N/A

Total Funding

$35.6M

Headquarters

Tokyo, Japan

Founded

2023

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Simplify's Take

What believers are saying

  • The development of portable hydrogen cartridges could revolutionize energy storage and transportation, offering significant growth potential.
  • Collaboration with Toyota enhances Woven's R&D capabilities and market reach, potentially accelerating product development and adoption.

What critics are saying

  • The market for portable hydrogen solutions is still nascent, posing uncertainties in consumer adoption and regulatory approval.
  • Dependence on Toyota for technological and financial support could limit Woven's operational flexibility and strategic independence.

What makes Woven unique

  • Woven's focus on portable hydrogen cartridges sets it apart in the renewable energy sector, where most competitors are focused on stationary solutions.
  • The partnership with Toyota provides Woven with significant industry credibility and access to advanced automotive technologies.