Instacart

1 month ago

Senior Machine Learning Engineer II, Ads Response Prediction

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Lead research and development of pCTR and conversion-prediction models for Instacart’s Ads ecosystem, focusing on debiasing, calibration, and multi-domain learning. Shape foundation-model approaches for ads ranking, contribute to TIGER and Semantic ID retrieval systems, and translate business observations into rigorous ML research directions with measurable impact.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Lead research and development of pCTR and conversion prediction models, focusing on calibration, bias mitigation, and cross-surface accuracy.
•Design and implement debiasing techniques (e.g., Mixed Negative Sampling, IPW, counterfactual risk minimization, calibration methods).
•Contribute to the MDMT model architecture with MoE, Transformer layers, and LoRA adapters for domain fine-tuning.
•Drive sequence modeling initiatives including TIGER and Semantic ID for product details, search, and placements.
•Publish and present findings, contribute to design reviews and experiments retrospectives.

Pay and Benefits

Salary: USD 240,000 - 253,500 annually

Key Requirements

•PhD or Master in machine learning, statistics, computer science, information retrieval, or a closely related field.
•6+ years of combined academic and industry experience applying ML to ranking, recommendation, or prediction problems at scale.
•Deep understanding of CTR/conversion prediction modeling and architectures such as Deep & Wide, DeepFM, DCN, and multi-task learning.
•Strong foundation in causal inference, counterfactual reasoning, and training data bias mitigation (selection bias, position bias, optimizer’s curse).
•Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, JAX) with data tooling (SQL, Spark, Pandas).

Experience:6+ yearsAdvertisingRankingRecommender systemsMachine learning

Education:Master's

Skills:CommunicationProblem-solvingCollaboration

Languages:English

Tech Stack:PythonPyTorchTensorFlowJAXSQLSparkPandasDeltaDBT-SparkRay

Company Brief

Instacart

Operates an online grocery marketplace connecting customers with personal shoppers and local retailers for grocery delivery and pickup. Provides technology, logistics, and advertising solutions to supermarkets and consumer packaged goods brands.

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2012

Glassdoor: 3.6

Website LinkedIn

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Instacart

1 month ago

Senior Machine Learning Engineer II, Ads Response Prediction

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Lead research and development of pCTR and conversion prediction models, focusing on calibration, bias mitigation, and cross-surface accuracy.
•Design and implement debiasing techniques (e.g., Mixed Negative Sampling, IPW, counterfactual risk minimization, calibration methods).
•Contribute to the MDMT model architecture with MoE, Transformer layers, and LoRA adapters for domain fine-tuning.
•Drive sequence modeling initiatives including TIGER and Semantic ID for product details, search, and placements.
•Publish and present findings, contribute to design reviews and experiments retrospectives.

Pay and Benefits

Salary: USD 240,000 - 253,500 annually

Key Requirements

•PhD or Master in machine learning, statistics, computer science, information retrieval, or a closely related field.
•6+ years of combined academic and industry experience applying ML to ranking, recommendation, or prediction problems at scale.
•Deep understanding of CTR/conversion prediction modeling and architectures such as Deep & Wide, DeepFM, DCN, and multi-task learning.
•Strong foundation in causal inference, counterfactual reasoning, and training data bias mitigation (selection bias, position bias, optimizer’s curse).
•Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, JAX) with data tooling (SQL, Spark, Pandas).

Experience:6+ yearsAdvertisingRankingRecommender systemsMachine learning

Education:Master's

Skills:CommunicationProblem-solvingCollaboration

Languages:English

Tech Stack:PythonPyTorchTensorFlowJAXSQLSparkPandasDeltaDBT-SparkRay

Company Brief

Instacart

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2012

Glassdoor: 3.6

Website LinkedIn