Overview

Who we are

At Toyota, we are reimagining mobility through innovative, high-quality technology solutions designed to enhance lives and meet our company mission of “Producing Happiness for All.” If you are interested in reimagining mobility with us in an inclusive environment built on teamwork that puts respect for people first, we want to talk to you.

Who we’re looking for

Toyota’s Information Technology Department is looking for a passionate and highly motivated Machine Learning Engineer for Marketing and Consumer portfolio within the OneTech’s Digital Engineering Organization

The primary responsibility of this role is to build and maintain scalable ML pipeline using customer and marketing data, help build customer/individual level of intelligence to help business make decision at various stages of customer journey. Model productionization, continuous model development and deployment and managing model life cycles to properly adopt the industry standard MLOps practices.

Reporting to the Lead ML Engineer, the person in this role will support the Marketing Technology and Analytics department's objective to optimize marketing investment by building customer level intelligence like next best action, recommendation engine, customer value models, etc.

What you’ll be doing

• Writing production level test driven code in Python and/or Java and Scala

• Deploying and optimizing different pipelines that support various data science processes

• Establish and set up model life cycle management with tools like MLFlow, etc.

• Developing and deploying spark/Databricks jobs with enterprise tool stack including Jenkins, GitHub Actions

• Deployment utilizing containerization solutions like Docker and kubernetes

• Work as an agile team member in a scrum team and collaborate with other engineers and scientists. 

• Work with product managers and senior scientist to deliver on the modeling needs.  

What you bring

• ML Engineering experience working in a product development or a data science team.

• Experience with model development and deployment including training, validation, and monitoring  

• Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)

• Experience with laying out and troubleshooting CI/CD pipelines and automation tools such as Jenkins

• Have good understanding of statistics and basics of ML theories

• Understanding of data structures, data modeling and software architecture

• Have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics; advanced degree is desirable

Added bonus if you have

• Exposure to deep learning and NLP and topic modeling

• Experience with deploying model in production

• Cloud experience (AWS, GCP) 

• Experience with deploying applications and models in K8s clusters

• Scala or Java programming

• Experience with WSGI or ASGI based end point creation (Fast API/ Flask)

What we’ll bring

During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:

• A work environment built on teamwork, flexibility and respect

• Professional growth and development programs to help advance your career, as well as tuition reimbursement

• Vehicle purchase & lease programs

• Comprehensive health care and wellness plans for your entire family

• Flextime and virtual work options (if applicable)

• Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute

• Paid holidays and paid time off

• Referral services related to prenatal services, adoption, child care, schools and more

• Flexible spending accounts

• Relocation assistance (if applicable)

To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time.

Belonging at Toyota

Our success begins and ends with our people. We embrace diverse perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members’ efforts to dream, do and grow without questioning that they belong. As a company that has been one of DiversityInc’s Top 50 Companies for Diversity and a member of The Billion Dollar Roundtable supporting minority and woman-owned suppliers for over 10 years, we are proud to be an equal opportunity employer that celebrates the diversity of the communities where we live and do business. 

Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.

Have a question or need assistance with your application?  Check out the How to Apply section of our careers page on Toyota.com or send an email to [email protected]