Senior Machine Learning Operations Engineer, Veho
$175-200k
Offers equity
Last-mile delivery logistics for eCommerce
Be an early applicant
Last-mile delivery logistics for eCommerce
501-1000 employees
Be an early applicant
$175-200k
Offers equity
501-1000 employees
Company mission
To revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
Our take
Over 2M online merchant ship over 165B packages to doorsteps across the United States every year. Every one of those deliveries represents a potential difference between happy customers willing to purchase again and refer friends, and a WISMO ("where is my order?!") catastrophe.
Veho is seeking to turn those deliveries from a risk into an opportunity for online brands. The next-day delivery platform leverages a gig economy workforce and its modern communication platform to create a greatly improved last-mile logistics experience for brands and their customers.
Now that the company has been able to build out an impressive technology platform - think optimized routes and driver-customer communication channels - it is now seeking major geographic expansion.
The company is facing competition from both traditional delivery companies like FedEx as well as newer venture-backed attempts to disrupt the space like Deliverr. However, its already impressive economies of scale and customer experience means it is well positioned to dominate the market in the coming years.
Freddie
Company Specialist at Welcome to the Jungle
Insights
17% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Feb 2022
$170m
SERIES B
Dec 2021
$125m
SERIES A
Total funding: $303.4m
Company benefits
- Competitive salaries
- Meaningful equity opportunities
- Paid time off
- 401(k) retirement plan
- Medical, dental, and vision insurance
- Life insurance
- Short & long-term disability insurance
- FSA & HSA accounts
- Paid parental leave
- Wellness programs, perks, and discounts
Company HQ
Manhattan, New York, NY
Leadership
Itamar Zur
(Co-Founder & CEO)Itamar previously worked as a Sales & Customer Success Manager at Monday.com. Before that, he worked as a Brand Manager at Procter & Gamble.
Fred Cook
(Co-Founder & President)Fred previously served as the VP Marketing of P4P Marketing. Before that, he Co-Founded Gondola where he served as the CEO for 1 year. He also co-founded OneMove where he served as the CEO for 2 years.
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