Machine Learning Scientist, Performance Advertising

Streaming TV is no longer just a brand awareness channel. It’s becoming a core part of the performance marketing mix, alongside search and social. Vibe.co is building the platform that makes TV work like the rest of the acquisition stack: targeted, measurable, and optimized for results.

Vibe.co is an Audience First Streaming TV Advertising platform that gives marketers the tools to reach the right audiences, optimize campaigns in real time, and understand what’s actually driving business outcomes. With hyper-targeted segmentation, AI-powered recommendations, real-time optimization, and incrementality measurement, Vibe brings the precision and accountability of digital advertising to the biggest screen in the house.

Today, more than 12,000 brands use Vibe.co to reach 120 million+ households. And in August 2026, Vibe.co became a Walmart company, opening up a new chapter for the business and the industry. With Walmart’s first-party data and purchase signals now part of the Vibe platform, advertisers can connect TV advertising to real-world transactions and measure the impact of CTV with a level of precision previously associated with platforms like Google and Meta.

This is a unique moment to join Vibe. With Walmart’s scale, data, and reach behind us, we’re building the next generation of TV advertising and creating a more measurable, performance-driven future for the channel.

About The Role

You'll join the Performance team, the group that owns advertiser outcomes at Vibe end to end, from prediction models to bidding to the delivery stack that puts both into production. You'll report to the Head of Performance. This role exists because the modeling roadmap has outgrown current bandwidth, right as the scale and diversity of data available to the team is about to grow significantly. CTV performance advertising is still being invented: cross-device attribution and identity graphs linking TVs to households look nothing like web display or search, so there's no playbook to copy here, you'd be writing it. You'll work with data few data scientists ever touch, joining CTV signal with real-world purchase and behavioral data in ways that change how the team measures, attributes, and trains. Vibe is growing fast enough that the model architecture is still yours to shape, and established enough that your work ships to real advertisers and shows up in the numbers within weeks.

What You'll Do

Own the Prediction Stack

• Improve the unified multi-task model predicting visits, purchases, and other outcomes simultaneously
• Design shared representations so model heads learn from each other across sparse conversion funnels
• Take ideas from exploration to production, covering dataset design, architecture, training, and deployment
• Debug production models for gradient issues, convergence failures, drift, and regression
• Partner with Performance engineers building the serving and bidding infrastructure
  
  

Build the Data Foundation

• Design new features from raw signal, including household-level features from the identity graph
• Prepare the modeling stack to absorb new, richer data sources
  
  

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Drive Business Impact

• Optimize models for measurable advertiser uplift instead of offline metrics that never ship
• Ship changes to production, measure results, and adjust based on real outcomes
  
  

What You Need

• Hands-on deep learning experience shipped in a professional environment
• Strong Python skills, with PyTorch preferred (TensorFlow or JAX also fine)
• Experience diagnosing model failures, including data leakage, bias, calibration, and distribution shift
• Ability to build algorithms from scratch and reason about what's happening under the hood
• A track record of tying modeling work to a specific business KPI you moved
  
  

Nice to Haves

• Experience with massive-scale datasets, including billions of impressions, events, or user records
• Deep learning on tabular data and sparse user representations

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• Background in CTR/CVR prediction, recommendation systems, or identity graphs and cross-device attribution
• Experience with production ML tooling such as ONNX export, orchestration (Dagster), or inference serving (Triton)
  
  

Our Values

At Vibe, we run on three values: Impact, Ambition, and Urgency. We tie every goal to a real business outcome, think 10x rather than settling for good enough, and move daily rather than waiting for perfect conditions.

You'll thrive here if you own outcomes without needing direction, default to action, and hold yourself to results, not effort.

This is a high-performance environment with high-performance rewards: you'll work alongside people who push you, with real ownership over hard problems in a market that's moving fast.

If that sounds like the best version of your career, we want to meet you.

What We Offer

We will support relocation to Paris for great candidates.

At Vibe, we want you to build something, own something, and grow fast. Here's how we back that up:

• Equity — Employee Stock Ownership Plan. You're building this; you should own part of it.
• Variable pay — Based on real Vibe business goals.
• Hybrid flexibility — We're in the Heart of Paris and our team is in 3x a week!
• Health insurance — Full coverage via Alan.
• Meal vouchers — Via Swile.
• Annual offsite — The whole team, once a year, somewhere worth the trip.

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• Tech Syncs — Engineering and Product meet in person at least quarterly, worldwide.
  
  

Our Interview Process

We respect your time. Here's exactly what to expect — no surprises, no ghosting.

• Recruiter screen — 30 min. We'll share context; you'll share yours.
• Manager interview — Meet the person you'd work with directly.
• Technical Interview — A real problem, not a trick. We'll work through it together.
• Calibration interview — A senior leader joins to ensure we're holding a consistent, high bar.
• Offer — Fast. We don't let good decisions sit.
• Reference checks — Two calls, handled with discretion.
  
  

Equal Opportunity

Vibe is an equal opportunity employer. We evaluate all applicants without regard to race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.

We believe the best ideas come from teams with different backgrounds, perspectives, and experiences. If you need a reasonable accommodation during the application or interview process, please let us know.

Referral Instructions

Being referred? Ask your contact to submit your application directly on your behalf.