Principal Machine Learning Engineer at American Honda Motor Co., Inc.

Torrance, California, United States -

Full Time

Start Date

Immediate

Expiry Date

10 Jan, 26

Salary

0.0

Posted On

12 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI, Data Science, Software Development, Programming, Team Management, Data Analysis, Model Development, Deployment, Big Data, Communication, Research, Continuous Improvement, Customer Experience, Marketing, Evaluation

Industry

Motor Vehicle Manufacturing

Description

What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it’s a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.” We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda’s, we want you to join our team to Bring the Future! Job Purpose: American Honda Motor is looking for an experienced Data Science leader to develop and manage new solutions in AI, machine learning, and applied language models that will drive optimal marketing mix, customer marketing, and digital experience. As an Applied Science Engineering Manager, you manage your project goal, build the optimal software solution, and develop your team. You will provide both technical leadership and innovative vision while leading your team in collaborating with multiple business partners. Key Accountabilities: Lead and manage a team of applied scientists and ML engineers to deliver AI-based solutions. Identify and prioritize AI/ML solutions with significant business values. Collaborate with cross-functional teams to ensure that AI solutions are aligned with business strategy and goals. Conduct research and implement new methods that have the potential to significantly improve our AI capabilities. Communicate research and results to senior leadership and stakeholders. Develop end-to-end machine learning (ML) systems including data analysis, data preparation, model development, training, evaluation, deployment, and monitoring. Develop evaluation framework and carry out evaluations of machine learning models. Build ML pipeline with continuous training, validation, and automatically runs models as a service. Build machine learning modeling initiatives supporting customer-facing experience, sales, and marketing programs. Design and analyze controlled experiments. Drive productization to deliver business and customer value. Qualifications, Experience, and Skills: Master’s degree in Computer Science or a quantitative field (e.g., Statistics, Mathematics, etc.) 10 years of experience in software development in one or more programming languages (e.g., Python, Java, R, C++) 3 years of experience managing data scientists and/or machine learning engineers 5 years of experience developing machine learning systems, including data preparation, model training, validation, deployment, and monitoring. Experience with automating continuous training and delivery strongly preferred. Expert knowledge of machine learning algorithms and techniques. Experience in building large-scale machine learning and AI model for business applications such as recommendation, optimization, personalization, or search. Experience with large-scale data processing and building scalable systems from big data. Experience leveraging data insights to influence business stakeholders and communicate complicated concepts to both technical and non-technical audiences. Demonstrates clear communication and presentation skills (oral and written) Working Conditions: Overtime, as required 5% travel What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Regional Bonus (when applicable) Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development Programs Additional Offerings: Lifestyle Account Childcare Reimbursement Account Elder Care Support Tuition Assistance & Student Loan Repayment Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

Responsibilities

Lead and manage a team of applied scientists and ML engineers to deliver AI-based solutions. Collaborate with cross-functional teams to ensure that AI solutions align with business strategy and goals.