Senior Machine Learning Engineer, Ads Response Prediction

🔥 15 hours ago

🇨🇦 Canada – Remote

💵 $180k - $190k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 0%

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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Instacart

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

🍽️ Food & Beverage

📦 Logistics

🛍️ eCommerce

💰 $232M Venture Round on 2021-11

Food & Beverage • Logistics • eCommerce

Instacart is a company that offers a flexible approach to work while transforming the grocery industry. It provides an essential service by delivering groceries and household goods to customers' doors in as little as 30 minutes. Instacart offers safe and flexible earning opportunities to personal shoppers and tackles challenges such as rerouting deliveries during snowstorms and connecting customers with coupons and deals. It aims to be the operating system for the grocery industry, thus helping customers save time for other activities. Instacart emphasizes diversity, equity, and belonging in its work culture.

📋 Description

• Own and execute research and development of pCTR and conversion prediction models • Improve calibration, reduce training data biases, and advance model accuracy across Instacart ads surfaces • Design and implement debiasing techniques including Mixed Negative Sampling, Inverse Propensity Weighting, counterfactual risk minimization, Platt scaling, and isotonic regression • Contribute to Multi-Domain Multi-Task model architecture using Mixture-of-Experts, Transformer layers, and LoRA adapters • Contribute to sequence modeling initiatives including TIGER generative retrieval and Semantic ID representation learning • Collaborate on Foundation Models using autoregressive user behavior prediction • Formulate ambiguous modeling problems and translate business observations into ML research directions with clear evaluation criteria • Publish and present findings internally • Contribute through design reviews, paper sharing, and experiment retrospectives

🎯 Requirements

• Master's or PhD in machine learning, statistics, computer science, information retrieval, or a closely related quantitative field; or equivalent experience • 3+ years of combined academic and industry experience, including PhD research, applying ML to ranking, recommendation, or prediction problems at scale • Deep understanding of CTR/conversion prediction modeling, including Deep & Wide, DeepFM, DCN, and multi-task learning • Strong foundation in causal inference, counterfactual reasoning, and training data bias mitigation • Ability to reason about selection bias, position bias, and propensity-based correction methods • Proficiency in Python and deep learning frameworks: PyTorch, TensorFlow, and JAX • Fluency in SQL, Spark, and Pandas • Track record of formulating ambiguous problems into well-scoped ML research directions and delivering results through rigorous experimentation • Strong written and verbal communication skills • Ability to explain complex modeling decisions to cross-functional stakeholders including product managers and data scientists

🏖️ Benefits

• Flexible choice of work location: home, office, or favorite coffee shop • Regular in-person events • New hire equity grant • Annual refresh equity grants • Market-competitive compensation and benefits