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Home›Jobs›Instacart›Machine Learning PhD Intern, Economics
Instacart

About Instacart

Fast grocery delivery from your favorite stores

🏢 Tech👥 10K-50K📅 Founded 2012📍 San Francisco, California, United States

Key Highlights

  • Valuation of $39 billion with $2.4 billion raised
  • Partners with over 40,000 stores including Costco and Kroger
  • Headquartered in San Francisco, California
  • Serves millions of customers across the U.S. and Canada

Instacart is a leading grocery delivery service headquartered in San Francisco, California, serving millions of customers across the U.S. and Canada. Partnering with major retailers like Costco, Kroger, and Publix, Instacart offers same-day delivery from over 40,000 stores. The company has raised ov...

🎁 Benefits

Instacart offers competitive salaries, equity options, flexible PTO, and a remote work policy that supports work-life balance. Employees also benefit ...

🌟 Culture

Instacart fosters a customer-centric culture focused on innovation and efficiency in grocery delivery. The company emphasizes data-driven decision-mak...

🌐 Website💼 LinkedIn𝕏 TwitterAll 154 jobs →
Instacart

Machine Learning PhD Intern, Economics

Instacart • United States - Remote

Posted 9h ago🏠 RemoteEntry-LevelMachine learning engineer📍 United states💰 $44 - $52 / year
Apply Now →

Skills & Technologies

PythonMachine learningData analysisStatistical analysis

Overview

Instacart is seeking a Machine Learning PhD Intern to join their Economics team. You'll work on computationally intensive empirical topics, leveraging your skills in machine learning and data analysis. This role is ideal for current or recently graduated PhD students in economics or related fields.

Job Description

Who you are

You are a current or recently graduated PhD student in economics or a related field such as marketing, finance, or operations research. You bring a strong foundation in machine learning and data analysis, with relevant research experience in computationally intensive empirical topics. Your analytical skills allow you to tackle complex problems and derive insights from data. You are comfortable working independently and collaboratively, and you thrive in a flexible work environment. You understand the importance of effective communication and can articulate your findings to both technical and non-technical audiences. You are eager to learn and grow in the field of machine learning and economics, and you are excited about the opportunity to contribute to Instacart's mission.

What you'll do

As a Machine Learning PhD Intern at Instacart, you will work closely with the Economics team to develop and implement machine learning models that address various challenges in the grocery industry. You will analyze large datasets to extract meaningful insights and inform decision-making processes. Your work will involve designing experiments, conducting statistical analyses, and interpreting results to guide product development and strategy. You will collaborate with cross-functional teams, including data scientists and product managers, to ensure that your models align with business objectives. Additionally, you will have the opportunity to present your findings and recommendations to stakeholders, contributing to the overall success of the team. This internship will provide you with hands-on experience in applying machine learning techniques to real-world problems, enhancing your skills and preparing you for a successful career in the field.

What we offer

Instacart offers a flexible work environment where you can choose to work from home or any location that suits you best. You will have access to a supportive team that values collaboration and innovation. The internship provides a unique opportunity to gain practical experience in machine learning and economics, working on projects that have a direct impact on the grocery industry. You will receive mentorship from experienced professionals and have the chance to develop your skills in a fast-paced, dynamic setting. Instacart is committed to fostering a diverse and inclusive workplace, and we encourage you to apply even if your experience doesn't match every requirement. We believe that diverse teams build better products and contribute to a more equitable society.

Interested in this role?

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