Senior Machine Learning Engineer, Economist

Instacart

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$207,000–$218,500 / yr
Posted
15 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $223k
This role $213k
$165k most similar roles pay here $290k

This role pays less than 62% of similar roles. Most pay $190,750–$254,750 — the shaded band above. At the midpoint, this role pays about $213k versus about $223k for comparable roles.

Based on 240 similar postings.

Employer

About Instacart

Instacart (Maplebear Inc.) is a North American grocery technology company that operates an online marketplace and delivery service connecting customers with personal shoppers who pick and deliver orders from local retailers. It also sells retail e-commerce software and advertising services to grocers and brands.

Instacart currently has 49 open roles on FindRole.

Listed pay typically runs $196,000–$207,000 across 49 roles with salary data.

Most-posted roles

View all roles at Instacart

At a glance

TL;DR · Senior Machine Learning Engineer, Economist

Role Posting Log in to save

Senior Machine Learning Engineer, Economist will join the Economics team to build state-of-the-art systems that blend rigorous economic thought with sophisticated machine learning algorithms. Working within a horizontal team, this individual will design, develop, and deploy machine learning solutions to address complex marketplace challenges including matching, logistics, online advertising, uplift modeling, and general causal inference. The role involves collaborating with product managers and data scientists to improve operational efficiency by refining models that analyze price impacts and customer decision-making. Candidates must possess a graduate degree in Economics or a related field and demonstrate expertise in applied econometrics and causal inference on observational and experimental datasets. Required technical skills include Python, SQL, Pandas, scikit-learn, and XGBoost. Preferred experience includes large language models, contextual bandits, and heterogeneous treatment effect estimation to solve problems within the multi-sided marketplace.

Skills

Machine Learning Causal Inference Python SQL Pandas scikit-learn XGBoost Large Language Models Generative AI Uplift Modeling Contextual Bandits Cloud Computing ML Infrastructure Econometrics

What you'll do

  • Design, develop, and deploy machine learning solutions to address complex marketplace economic challenges.
  • Apply causal inference methodologies to both observational and experimental datasets.
  • Build state-of-the-art systems that integrate rigorous economic theory with sophisticated machine learning algorithms.
  • Refine and advance algorithms to improve operational efficiency across the platform.
  • Develop models for matching, logistics, online advertising, uplift modeling, and long-term value.
  • Translate business needs from product managers and data scientists into technical engineering solutions.
  • Manage and deploy machine learning models within production environments using cloud infrastructure.

What we're looking for

  • Master's or PhD degree in Economics or a closely related field.
  • Proficiency in economic theory and applied econometrics combined with business skills.
  • Experience applying causal inference methodologies to observational and experimental datasets.
  • Understanding of machine learning algorithms and techniques.
  • Strong programming skills in Python and fluency in SQL, Pandas, scikit-learn, and XGBoost.
  • Excellent verbal and written communication skills.
  • 1-3 years of industry experience in a similar position for Senior Machine Learning Engineer candidates.
  • Experience deploying ML models into production environments and working with cloud computing infrastructure.

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