Overview

The Toyota Connected team is looking for a Principal Machine Learning Architect to be a part of a highly talented engineering team to help create new products and services from the ground up for the next generation connected vehicles. We are looking for team members that are required to be creative in solving problems, excited to work in new technology areas and be ready to wear multiple hats to get things done in a highly-energized, fast-paced, innovative and collaborative startup environment.

What you will do:

Develop solutions using Machine Learning/Deep Learning and other advanced technologies to solve a variety of problems
Translate user stories and business requirements to technical solutions by building quick prototypes or proof of concepts with several business and technical stakeholder groups in both internal and external organizations
Partner with leaders in the area and have insights to select off the shelf components vs building from the scratch
Convert the proof of concepts to production-grade solutions that can scale for hundreds of thousands of users
Be hands-on where required and lead from the front in following best practices in development and CI/CD methods
Own delivery of features from top to bottom, from concept to code to production
Develop tools and libraries that will enable rapid and scalable development in the future
Architect key paradigms, pipelines and other mechanisms to take ML systems from proof of concepts to realities in Production
Successfully devise and implement strategies to ensure ML heavy systems operate with high accuracy in Production and adapt to discovered needs

Company:

Toyota

Qualifications:

You are a successful candidate if:

You are smart and can demonstrate it
You have 10+ years of experience as senior developer/technical architect for high-tech products or services and you have 3+ years of hands-on experience delivering products or solutions that utilized Machine learning, Natural Language processing or other forms of AI solutions (Computer Vision/ Mathematical Optimization)
Mathematical understanding of a variety of statistical learning algorithms (Reinforcement Learning, Supervised/Unsupervised, Graphical Models)
Expertise in a variety of Deep Learning architectures including Residual Networks, RNN/CNN, Transformer, and Transfer Learning – And delivering value using these in real production environments for real customers
You have deep proficiency in Python and at least one major language (C++, Java or Go)
You are very fluent in one or more ML tools like Tensorflow, Pytorch, Caffe, and/or Theano and have solved several real-life problems using these
You preferably have proficiency and experience in NLP
You have partnered with Product owners & business stakeholders to lead ROI analysis, business modeling and other activities required to convert Proof of concepts to real-life products that are successfully launched
You have experience in operations after launch, for a system heaviliy involving ML workloads
We think the knowledge acquired earning a degree in Computer Science or Math would be of great value in this position, but if you’re smart and have the experience that backs up your abilities, for us, talent trumps degree every time

Educational level:

Ph. D.

Level of experience (years):

Senior (5+ years of experience)

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About Toyota

Toyota is a company that is operating its business with a focus on vehicle production and sales.