Machine Learning Engineer II, Ads - Response Prediction
Instacart · Machine Learning
- Location
- Canada - Remote (ON, AB, BC, or NS Only)
- Workplace
- Remote
- Level
- Mid-level
- Type
- Unspecified
- Pay
- $154K–$163K/yr (estimated from posting text)
- Posted
- 2 months ago
- Source
- Greenhouse
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What the posting covers
We're transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless…
Instacart is a Flex First team
There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through…
About the Role
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart's ads systems. You will use machine learning to devise and…
About the Team
The Ads Response Prediction team owns systems, algorithms and ML models to ensure a relevant and engaging Ads experience to customers of all the platforms powered by Instacart. This includes search and exploration retrieval systems, Sequential Modeling and…
About the Job
Design, develop, and deploy machine learning solutions including data pipelines, model architectures and serving integrations to tackle practical challenges in the ads organization. Formulate and scope ambiguous modeling problems from first principles.…
Minimum Qualifications
Have a graduate degree (masters or PhD) in machine learning, statistics, computer science, information retrieval, or a closely related quantitative field. Have strong programming skills and fluency in data manipulation (SQL, Spark, Pandas) and Machine…
Preferred Qualifications
Have 1-2 years of industry experience using machine learning to solve real-world problems with large datasets. Knowledge of sequential modeling, Transformer architecture and Foundation Model. Familiarity with LLM integrations, agentic workflow and…
Excerpts only. The employer’s page has the complete posting.