Machine Learning Engineer II, Ads - Response Prediction

Instacart
Ontario, Alberta, British Columbia, Nova Scotia
Workplace: RemoteFull timeCAD 154,000 - 162,500 annuallyFunction: Data Science & Machine LearningSkills: ["Analytical skills","Problem-solving","Communication","Collaboration","Technical rigor"]

Develop and deploy machine learning solutions for Instacart’s Ads Response Prediction systems, spanning ads selection, ranking, bidding, and auction across consumer surfaces. Work with the Ads Response Prediction team to design data pipelines, model architectures, and serving integrations, turning ambiguous business issues (e.g., miss-calibration and cold-start underperformance) into measurable ML research directions with clear evaluation criteria. Collaborate with product, data science, and infrastructure partners, and share results through internal presentations.

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FursaFursa
Instacart
Instacart
3 days ago

Machine Learning Engineer II, Ads - Response Prediction

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Develop and deploy machine learning solutions for Instacart’s Ads Response Prediction systems, spanning ads selection, ranking, bidding, and auction across consumer surfaces. Work with the Ads Response Prediction team to design data pipelines, model architectures, and serving integrations, turning ambiguous business issues (e.g., miss-calibration and cold-start underperformance) into measurable ML research directions with clear evaluation criteria. Collaborate with product, data science, and infrastructure partners, and share results through internal presentations.
Location: Ontario, Alberta, British Columbia, Nova Scotia
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and deploy ML solutions including data pipelines, model architectures, and serving integrations for ads response prediction.
  • •Formulate and scope ambiguous modeling problems from first principles and translate business observations into ML research directions with evaluation criteria.
  • •Collaborate with product managers, data scientists, and infrastructure engineers to understand business needs and deliver impactful ML applications.
  • •Improve operational efficiency by continually refining and advancing algorithms and models.
  • •Publish and present findings internally through design reviews, paper sharing, and experiment retrospectives.

Pay and Benefits

Salary: CAD 154,000 - 162,500 annually
Equity and Bonus:Equity

Key Requirements

  • •Graduate degree (master’s or PhD) in machine learning, statistics, computer science, information retrieval, or a closely related quantitative field.
  • •Strong programming skills and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (classical ML and deep learning) tools.
  • •Strong analytical skills and problem-solving ability.
  • •Ability to clearly communicate and collaborate with diverse stakeholders across all levels.
  • •1–2 years of industry experience applying machine learning to real-world problems with large datasets.
Experience:Machine learningLarge datasetsRecommendation systemsAds
Skills:Analytical skillsProblem-solvingCommunicationCollaborationTechnical rigor
Languages:English
Tech Stack:SQLSparkPandasMachine learningDeep learningTransformer architectureFoundation ModelsLLM integrationsAgentic workflow

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
Glassdoor: 3.6
WebsiteLinkedIn