below marketmost similar roles pay hereabove market
This role pays less than
60%
of similar roles. Most pay
$190,937–$254,750
— the blue 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
29 open roles
on FindRole.
Listed pay typically runs
$196,000–$207,000
across 29 roles with salary data.
The Senior Machine Learning Engineer, Economist joins the Economics team to build state-of-the-art systems blending rigorous economic thought with sophisticated machine learning algorithms. This role involves designing, developing, and deploying solutions to address complex marketplace challenges, including matching, logistics, online advertising, uplift modeling, and general causal inference. You will collaborate with product managers and data scientists to refine algorithms that influence customer decision-making regarding prices and product placement. The position requires a graduate degree in Economics, proficiency in Python, SQL, and Pandas, and experience with tools like scikit-learn and XGBoost. Candidates must apply causal inference methodologies to observational and experimental datasets. The work focuses on aligning incentives within a multi-sided marketplace and improving operational efficiency through advanced modeling and production-level machine learning infrastructure.
Design, develop, and deploy machine learning solutions to solve complex marketplace economic challenges.
Apply causal inference methodologies to both observational and experimental datasets.
Refine and advance algorithms to improve operational efficiency across the platform.
Build models for matching, logistics, online advertising, and long-term value estimation.
Translate business needs into impactful technical solutions by working with product and data teams.
Put machine learning models into production environments using cloud computing and ML infrastructure.
Share research, best practices, and learnings across different domains within the Economics team.
What we're looking for
Graduate Degree (Masters or PhD) in Economics or a closely related field.
A blend of economic theory, applied econometrics, and business skills.
Experience applying causal inference methodologies to both 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 (required for Senior Machine Learning Engineer I).
Experience putting machine learning models into production environments and with cloud computing infrastructure (required for Senior Machine Learning Engineer I).
PhD in Economics or a closely related field with a focus on data-intense problems (preferred).
Intern experience in related roles (preferred).
Experience with large language models, generative AI, uplift modeling, contextual bandits, and/or heterogeneous treatment effect estimation (preferred).
Machine Learning
C++
Python
PyTorch
TensorFlow
Computer Vision
Multi-sensor Fusion
Deep Learning
TensorRT
Transformers
Data Pipelines
Model Optimization
NVIDIA DRIVE AV
Object Detection
Semantic Segmentation