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Senior Machine Learning Engineer, Ads Response Prediction
Summary by AIEngineer.careers
Senior Machine Learning Engineer, Ads Response Prediction is a Machine Learning Engineer role (full-time). with Instacart. in REMOTE, VANCOUVER, CA. Compensation shown: $133K–$141K (est.). Imported listing (source: jobsca.org). Apply on the employer's site (jobsca.org).
Imported listing (source: jobsca.org) · Apply on jobsca.org
REMOTE · VANCOUVER · CA
$133K–$141K (est.)
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobsca.org
Join Instacart as a Senior Machine Learning Engineer focused on ads response prediction. You will build and improve CTR models, apply causal inference techniques, and develop sequence models for ranking and recommendation systems. This is a remote role based in Canada, requiring at least 3 years of experience in ranking or recommendation problems.
Responsibilities
- Develop and optimize CTR prediction models for ads
- Apply causal inference methods to measure ad effectiveness
- Build sequence models for user behavior and ranking
- Collaborate with cross-functional teams to deploy models at scale
Requirements
- 3+ years of experience in machine learning for ranking or recommendation systems
- Strong background in CTR modeling and causal inference
- Experience with sequence modeling techniques
- Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow)
Nice to Have
- Experience in advertising or e-commerce domains
- Familiarity with large-scale distributed training
- Publications in top ML conferences
Instacart
San Francisco · US · 3600+ employees
Instacart, legally Maplebear Inc., is a grocery technology company connecting consumers with retailers for online grocery shopping, delivery, and pickup. It also provides retailer technology, fulfillment and in-store tools, AI capabilities, advertising, and health-focused offerings through its Marketplace, Enterprise, Ads, and Health ecosystems.
