Machine Learning Engineer

Job Description

Job Description

Company Overview :

Lightspeed is a leading provider of cloud-based software for dealerships and Original Equipment Manufacturers (OEMs), serving the Powersport, Marine, RV, Trailer, Outdoor Power Equipment, and Golf Cart industries. Lightspeed's Dealer Management Solution (DMS) enables dealerships to optimize their end-to-end business operations, including sales, parts, service, rentals, accounting, and Customer Relationship Management (CRM). When implemented into their daily operations, Lightspeed helps dealers increase their profitability by selling more units, service, and parts, all while creating a more streamlined experience for customers. For nearly 40 years, Lightspeed has been empowering 4,500 dealers across North America with the tools and technology they need to manage their dealerships.

The ideal candidate will leverage their expertise in machine learning to design and implement scalable models and processes for a variety of classification and data analysis tasks. A key focus of this role will be the classification of powersports, marine, and RV vehicles based on VIN (Vehicle Identification Number), HIN (Hull Identification Number), or PID (Product Identification). Additionally, the role will involve developing datasets and algorithms to support vehicle and part classification while contributing to broader machine learning initiatives.

What you'll do :

• Design, develop, and deploy machine learning models for diverse classification tasks, including parts, VIN, HIN, and PID-based vehicle identification.
• Implement scalable algorithms and solutions to enhance the accuracy and efficiency of classification systems.
• Build and maintain datasets and feature engineering to support classification models and metadata generation.
• Ensure datasets are accurate, comprehensive, and updated regularly.
• Explore and incorporate new data sources to improve model performance and extend metadata for vehicle and part identification.
• Create ETL (Extract, Transform, Load) pipelines to ingest, clean, and preprocess data from various sources.
• Automate data workflows to streamline the integration of new data sources and enhance scalability.
• Collaborate with internal teams, OEMs, and aftermarket suppliers to acquire and integrate relevant data.
• Work with cross-functional teams to align machine learning projects with organizational objectives.
• Continuously evaluate and fine-tune machine learning models to improve their performance and reliability.
• Conduct experiments and validation tests to ensure the robustness of implemented solutions.
• Document workflows, methodologies, and results for internal use and knowledge sharing.
• Develop reports and visualizations to communicate findings and model performance to stakeholders

What you should have :

Inclusion and Diversity at Lightspeed :

At Lightspeed, we celebrate the uniqueness of every individual and encourage diverse perspectives. We believe that inclusion drives innovation and fosters meaningful connections. We are committed to building an environment where everyone feels valued and empowered to make an impact.

Equal Employment Opportunity Statement :

Lightspeed is an Equal Opportunity Employer and is dedicated to building a diverse and inclusive workforce. All qualified applicants will be considered for employment without regard to race, color, creed, ancestry, national origin, gender, sexual orientation, gender identity, gender expression, marital status, religion, age, disability, veteran status, or any other protected category.

Important Note :

Applicants must be authorized to work in the U.S.

Ready to apply?

Take the next step in your career—apply today and join a team where your skills will make an impact!