JobHabor

Senior Machine Learning Engineer, Economist

Instacart

Location
US
Workplace
Remote
Employment
Full Time
Salary
USD 173,000–218,500/yr
Apply on the employer’s site

Posted 21d ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Responsibilities

  • Design, develop, and deploy machine learning solutions to tackle the many economic challenges in our complex marketplace
  • Collaborate closely with product managers, data scientists, and other engineers to deeply understand business needs and create impactful solutions
  • Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models
  • Be an active member of the Economics team, sharing learnings, best practices, and research across domains while refining and advancing our algorithms

Requirements

  • 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
  • An understanding of machine learning algorithms and techniques
  • Strong programming skills (Python) and fluency in data manipulation (SQL, Pandas) and machine learning tools (e.g., scikit-learn, XGBoost)
  • Excellent communication skills (both verbal and written)
  • Self-motivation and a strong sense of ownership
  • 1-3 years of industry experience in a similar position (for Senior ML Engineer I, Economist)
  • Experience putting machine learning models into production environments (for Senior ML Engineer I, Economist)
  • Experience with cloud computing and related ML infrastructure (for Senior ML Engineer I, Economist)

Preferred

  • PhD in Economics or a closely related field with a focus on data-intense problems
  • Intern experience in related roles
  • Experience with large language models and generative AI, both on the algorithm side as well as a day-to-day tool
  • Experience with uplift modeling, contextual bandits, and/or heterogeneous treatment effect estimation

Skills

  • Python
  • SQL
  • Pandas
  • scikit-learn
  • XGBoost
  • Machine Learning
  • Causal Inference
  • Econometrics
  • Cloud Computing
  • Large Language Models
  • Generative AI
  • Uplift Modeling
  • Contextual Bandits
  • Heterogeneous Treatment Effect Estimation

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