Machine Learning Engineer II

Summary

Join Instacart's Economics team as an economist or machine learning engineer! This role blends economics and machine learning, focusing on building end-to-end solutions for a fast-growing company. You'll work in cross-functional teams, contributing to pricing, advertising, and causal inference projects. Ideal candidates possess a blend of economic theory, applied econometrics, and strong engineering skills in R or Python. The position offers a competitive salary, equity grants, and remote work flexibility. We are currently hiring in Ontario, Alberta, and British Columbia.

Requirements

• Graduate-level research experience on data-intense problems or 1+ years of industry experience in machine learning or economics-focused roles
• A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one
• Expertise in causal inference with observational and experimental data
• Strong engineering skills with expertise in R or Python and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
• An ability to identify and prioritize high-impact problems and deliver solutions that provide reasonable trade-offs between urgency and quality
• Willing and able to travel internationally based on job requirements
• Self-motivation and a strong sense of ownership

Responsibilities

• Help design and build end-to-end machine learning solutions
• Work in small and cross-functional product teams, with great opportunities for growth and ownership of projects
• Be an active member of an internal community, including economists, data scientists, operations research scientists and machine learning engineers, sharing learnings, best practices and research across many domains
• Develop high impact solutions to support Instacart's ambitious growth plans
• Work closely with engineers, product managers, other teams, and both internal and external stakeholders, owning a large part of the process from problem understanding to recommending a solution and testing it in controlled experiments
• Have the freedom to suggest and drive organization-wide initiatives

Preferred Qualifications

• PhD in Economics with focus on data-intense problems or 3-5 years of industry experience in machine learning or economics-focused roles
• A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one
• Expertise in causal inference with observational and experimental data
• Strong engineering skills with expertise in R or Python and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
• An ability to identify and prioritize high-impact problems and deliver solutions that provide reasonable trade-offs between urgency and quality
• Willing and able to travel internationally based on job requirements
• Self-motivation and a strong sense of ownership
• Experience with training large-scale models and model deployment on cloud services (Docker, AWS/GCP/Azure)

Benefits

• Highly market-competitive compensation and benefits
• Remote work
• New hire equity grant
• Annual refresh grants
• $153,000 — $170,000 CAD (base pay range for Canadian candidates)