Senior Machine Learning Operations Engineer
About the role
Veho’s mission is to power the future of commerce by making shopping, shipping, and returns seamless for everyone. We are building a modern, end-to-end logistics infrastructure designed entirely for the ever-evolving needs of ecommerce brands and everyday consumers. Powered by next-generation technology and a vertically integrated supply chain, Veho gives brands and their customers unprecedented control over their deliveries and removes the pain from the ecommerce post-purchase experience. We make delivery the 'extension of the brand' and leverage it to create deeper loyalty and trust between brands and their customers, driving customer retention and lifetime value.
Veho is rapidly growing and has clients including leading consumer brands like Hello Fresh, Zara, Macy’s, Sephora, and more. We strongly believe that our people and values must be aligned with our mission. As such, we take pride in our championship team, merit-based culture. We seek team players who want to compete, win, make an impact, and build a legacy, and we reward performance and impact players with generous equity and incredible career growth opportunities.
Responsibilities
- Build reliable, efficient, and scalable infrastructure for our AI/ML capabilities
- Create robust data pipelines to feed analyses and models
- Enable forecasting, network orchestration, and live pricing systems
- Ensure data quality and data integrity through best practices in data integration
- Create robust feature stores, model orchestration tooling, experimentation tooling, model performance monitoring
- Create standards and templates for model development and deployment across all Data Science teams
Requirements
- Bachelor’s Degree plus at least 3 years of experience in machine learning engineering, or Master’s Degree plus at least 2 years in machine learning engineering
- This experience should include:
- Developing and optimizing MLOps pipelines for speed, reliability, and observability
- Utilizing statistical modeling or machine learning techniques to solve business problems
- Strong proficiency in Python and SQL
- Hands-on experience with open-source languages and tooling for large-scale ML (e.g., Ray, Flink, Feast)
- Utilizing cloud-based (AWS Preferred) data engineering and data science tools
- Experience building ML systems in Startups is a plus
- Experience with DS/ML in Logistics/Supply Chain is a plus
Qualifications
- Bachelor’s Degree plus at least 3 years of experience in machine learning engineering, or Master’s Degree plus at least 2 years in machine learning engineering
Skills
- Expertise in machine learning operations engineering
- Collaboration with data scientists to create and optimize machine learning models
- Strong proficiency in Python and SQL
- Experience with cloud-based data engineering and data science tools
- Experience building ML systems in startups
- Experience with DS/ML in logistics/supply chain
Benefits
- Generous equity
- Incredible career growth opportunities
Pay
- TBD
Schedule
- TBD
Company Culture
Veho is a growth company that looks for team members to grow with it. No matter the location, or the role, every Veho teammate shares one galvanizing mission: driving commerce forward with a customer-centric delivery and returns experience that's built for the modern era. We are deeply value-driven (Team Up, Drive Impact, Take Ownership, Solve Bigger, Obsess Over Experience, Make Today Count) and care tremendously about investing in our high-performers. Join us in building the future of ecommerce logistics and in doing the work of our lifetime!
Equal Opportunity Employer
Veho is committed to providing equal employment opportunities to all individuals regardless of race, color, religion, national origin, age, sex, disability, medical condition, pregnancy, sexual orientation, gender identity, gender expression, marital status, genetic information, citizenship status, or veteran status. We will consider qualified applicants with criminal histories in a manner consistent with applicable law.