Overview

Who we are

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for diverse, talented team members who want to Dream. Do. Grow. with us.

An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company – delivering on Toyota’s vision to move people beyond what’s possible. At TFS, you will help create best-in-class customer experiences in an innovative, collaborative environment.

Who we’re looking for

The TFS Analytics Ops team is looking for a highly skilled Software Engineer to help our growing Data Science practice. The Lead Machine Learning Platform Engineer will be responsible for developing our MLOps platform which streamlines the continuous ML lifecycle (data ingest, feature engineering, model training, validating, and serving).

Reporting to the Manager, Analytics Solutions, the person in this role will develop and maintain a high-performance and scalable ML model serving systems in a cloud-based environment.

Successful candidates should have 5+ years in building Machine Learning Pipelines and be proficient with Python, Github, Spark, PySpark, AWS cloud services, Kubernetes Container orchestration, Container Registry, and CI/CD pipeline deployment.

What you’ll be doing

• Establish scalable, efficient, automated processes for large-scale data analysis, model development, model validation, and model implementation. 
• Drive adoption of best practices across Data Science organizations. 
• Design and architect modular and reusable code both for use in experiments as well as production environments. 
• Deliver production-ready code. 
• Provide technical/team guidance and training/mentorship.
• Create scalable and robust analytics solutions within the auto finance space. 
• Work with the broader engineering groups to define the strategy for analytics ops. 
• Prepare and present findings to both technical and non-technical audiences.
• Stay abreast of developments in research methodology and changing technologies in the marketplace and proactively identify applications of these latest developments to improve existing methods.

What you bring

• Bachelor’s degree in Computer Science, STEM, or a closely related program.
• Strong production experience working in Data Science, Machine Learning, or Software Engineering.
• Experience with cloud-native architecture and container orchestration (particularly Docker and Kubernetes).
• Experience utilizing Github in the Machine Learning pipeline for best practice code management and collaboration.
• Solid production experience using Python (including NumPy), PySpark, and SQL.
• Production experience with Apache Spark.
• Strong fundamentals in problem-solving, algorithm design, and complexity analysis.
• Hands-on experience with web APIs, CI/CD for Machine Learning.

Added bonus if you have

• AWS Solutions Architect.
• Advanced degree in Computer Science, STEM, or closely related discipline.
• Experience leading/mentoring junior team members.
• Experience implementing Machine Learning pipelines in production environments.
• Experience working with data science within the financial services space.

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, childcare, schools, and more.
• Flexible spending accounts.
• Relocation assistance (if applicable).

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? Please send an email to [email protected].