Veho Logo

Veho

Senior Machine Learning Engineer

Posted 12 Hours Ago
Remote or Hybrid
Hiring Remotely in New York, NY
175K-190K Annually
Senior level
Remote or Hybrid
Hiring Remotely in New York, NY
175K-190K Annually
Senior level
The Senior Machine Learning Engineer will develop and optimize ML infrastructure, create data pipelines, and model orchestration ensuring data quality and performance monitoring.
The summary above was generated by AI
About Veho

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. Our rapidly growing client list includes leading consumer brands like Hello Fresh, Zara, Macy’s, Sephora, and more.

To truly build an iconic company, 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.
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. 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!

(Veho is unable to provide sponsorship at this time.)

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

17 Days Ago
Remote or Hybrid
United States
119K-201K Annually
Senior level
119K-201K Annually
Senior level
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The Senior Machine Learning Engineer will design, implement, and optimize machine learning models, drive AI initiatives, and collaborate cross-functionally to enhance SailPoint's AI capabilities.
Top Skills: AirflowAWSCloudbeesDbtFeastGoJenkinsKafkaPythonPyTorchQlikScikit-LearnShell/BashSnowflakeSQLTableauTensorFlow
17 Hours Ago
Easy Apply
Remote
United States
Easy Apply
Senior level
Senior level
Healthtech
As a Senior Machine Learning Engineer, you will design and deploy ML models to optimize clinical trial workflows, mentor junior engineers, and collaborate with cross-functional teams to enhance patient engagement.
Top Skills: Cloud InfrastructureGenaiLlmsMl EngineeringPythonSQL
Yesterday
In-Office or Remote
176K-252K Annually
Senior level
176K-252K Annually
Senior level
Music
The Senior Machine Learning Engineer will design and enhance interactive listening experiences at Spotify, using ML and LLM technologies. The role involves collaborating with various teams and deploying scalable ML solutions.
Top Skills: Apache BeamSparkAWSGCPGenerative AiMachine LearningNatural Language Processing

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account