About Veho
Veho is on a mission to revolutionize the post-purchase experience. We’re building a new, end-to-end logistics infrastructure—from middle mile to last mile—powered by tech that puts customers first. By removing the pain points in delivery and returns, Veho creates deeper loyalty and trust between brands and their customers. Our rapidly growing client list includes leading consumer brands like Hello Fresh, Zara, Macy’s, Sephora, and more.
We’re proud of our championship culture, best-in-class benefits and the chance for every team member to share in our success through equity. Whether you work at one of our facilities or remotely, at Veho you’ll join a mission-driven team that’s transforming logistics—and having a lot of fun along the way.
About The Role:
As a Senior Machine Learning Operations Engineer you’ll be embedded in a team of talented data scientists and software engineers to create sophisticated models that answer hard questions centered around improving our logistics network and user experiences. This role bridges between ML platform work and building on top of our platforms to create new models. You’ll create the infrastructure and tooling necessary to deploy, monitor, and scale our machine learning models in production. In close collaboration with data scientists you’ll own our production models, ensuring optimal performance and responding to production incidents.
A great candidate:
- Is an expert in their craft, creating high quality ML infrastructure and delivering impactful machine learning models to our stakeholders.
- Works in close collaboration with the other Data Science team members and keeps the business value at the center of their work. Has a bias for action, balancing delivering impact in the short-term while building out the long term vision.
- Applies their ML / MLOPS knowledge to suggest new patterns, tools, approaches to improve the team’s models
What you’ll do:
- 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
- Build out 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.
What You Bring:
- 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).
- Working with Data Warehouses (e.g., Redshift, Databricks, Snowflake).
- 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.
Compensation:
$175,000-190,000 per year
The pay range is subject to the discretion of the Company. Additionally, Veho offers a competitive equity package, comprehensive medical, dental, and vision coverage as well as other benefits such as 401k and generous PTO for full-time roles.
Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee 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 people. We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.
Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.
All California applicants please reference our California Applicant Privacy Notice located here.
Top Skills
Similar Jobs
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories