Technical Lead Manager, MLOps

🕒 July 28

🏄 California – Remote

🏄 California – Remote

💵 $199k - $241k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 2%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Veho

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2016

📦 Logistics

🛍️ eCommerce

🤝 B2B

💰 $170M Series B - Veho on 2022-02

Logistics • eCommerce • B2B

Veho is a tech-enabled last-mile delivery and logistics company that provides e-commerce-focused delivery and fulfillment services to retailers and marketplaces. It operates a network of drivers, routes, and local hubs to offer fast, reliable parcel delivery and improve customer experience, positioning itself as a B2B partner for online merchants seeking optimized shipping and delivery operations.

📋 Description

• Own our Data Science platform and our 1-2 year roadmap for creating a sophisticated and stable platform • Embed into science projects so engineering quality is built in from day one • Create the templates to get new systems up and running quickly • Push our AI‑assisted development agenda • Be a thought leader for the Veho data and engineering community on how to leverage AI in improving development velocity • Manage the Machine Learning Operations team • Write code, review designs, and set the technical bar • Partner closely with our Agentic Developer Experience and Builder Experience teams

🎯 Requirements

• Bachelor’s Degree plus at least 6 years of experience in Machine Learning Engineering, or Master’s Degree plus at least 4 years in Machine Learning Engineering • ML platform experience: training and serving infrastructure, feature stores, orchestration, monitoring, deployment pipelines • Experience managing impactful, high velocity ML Platform / ML Ops teams in smaller scale companies • Experience driving AI/agentic tooling adoption inside an organization • Hands-on experience with open-source tooling for large-scale ML (e.g., Ray, Flink, Feast) • Strong knowledge of Cloud-based data engineering and data science tools (AWS preferred) and Data Warehouses (Redshift, Databricks, Snowflake) • Strong proficiency in Python • Interest in building systems in a Supply Chain setting, enabling a physical supply chain to run like clockwork.

🏖️ Benefits

• Comprehensive medical, dental, and vision coverage • 401k • Generous PTO for full-time roles