Veho Logo

Veho

Senior Machine Learning Engineer

Posted Yesterday
Remote
Hiring Remotely in United States
175K-190K Annually
Senior level
Remote
Hiring Remotely in United States
175K-190K Annually
Senior level
The role involves building ML infrastructure, creating data pipelines, ensuring data quality, and collaborating with data scientists to optimize models.
The summary above was generated by AI

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

AWS
Databricks
Feast
Flink
Python
Ray
Redshift
Snowflake
SQL

Similar Jobs

Yesterday
Remote or Hybrid
District of Columbia, USA
134K-236K Annually
Senior level
134K-236K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Senior Machine Learning Engineer will design and build scalable AI/ML infrastructure, collaborate on model development, and optimize performance in distributed training environments.
Top Skills: Apache ArrowApache ParquetAWSAzureGCPPythonPyTorchRayTensorFlow
2 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
158K-236K
Senior level
158K-236K
Senior level
eCommerce • Healthtech • Kids + Family • Retail • Social Media
As a Senior Machine Learning Engineer, you will develop, productionalize, and iterate machine learning models, focusing on improving user experience and driving business outcomes at Babylist.
Top Skills: AirflowAWSDistributed Training FrameworksMachine LearningMySQLPythonReactRedisRuby On RailsSidekiqSQL
7 Days Ago
Remote
United States
186K-219K Annually
Senior level
186K-219K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
As a Senior Machine Learning Engineer, you will design and implement advanced machine learning models and solutions, collaborate with stakeholders, mentor junior engineers, and enhance product capabilities using AI technologies.
Top Skills: Apache AirflowDatabricksFlinkKafkaKinesisPythonSnowflakeSpark

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account