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Seasonal Graduate Machine Learning Jobs in Oregon

Instacart

Senior Machine Learning Engineer, Economist

OR · On-site +1

$91K - $116K/yr

Overview As a machine learning engineer in the Economics team, you will build state-of-the-art ... Graduate Degree (Masters or PhD) in Economics or a closely related field * A blend of economic ...

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Seasonal Graduate Machine Learning information

What is the difference between Seasonal Graduate Machine Learning vs Data Analyst?

AspectSeasonal Graduate Machine LearningData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; knowledge of ML frameworksDegree in Statistics, Mathematics, or related field; proficiency in data visualization tools
Work EnvironmentTech companies, research labs, or industries applying ML models seasonallyBusiness environments, finance, marketing, or healthcare sectors
Employer & Industry UsageUsed in industries deploying ML solutions seasonally, such as retail or e-commerceCommon in industries analyzing data trends for decision-making

Seasonal Graduate Machine Learning roles focus on developing and applying machine learning models during specific seasons, often requiring programming and ML knowledge. Data Analysts interpret data to inform business decisions, emphasizing statistical analysis and visualization. While both roles involve working with data, Machine Learning positions are more technical and model-driven, whereas Data Analysts focus on insights and reporting.

What cities in Oregon are hiring for Seasonal Graduate Machine Learning jobs?

Cities in Oregon with the most Seasonal Graduate Machine Learning job openings:

Seasonal Graduate Machine Learning jobs near you

Senior Machine Learning Engineer, Economist

OR • On-site, Remote

Instacart
Technology, Communication and Media • 10K+ employees
Learn more about Instacartexternal

$91K - $116K/yr

Full-time

Posted 13 days ago

Key responsibilities

  • Design, develop, and deploy machine learning solutions to address economic challenges in the marketplace.

  • Collaborate with product managers, data scientists, and engineers to understand business needs and create solutions.

  • Refine and advance algorithms and models to improve operational efficiency.

Instacart rating

6.9

Company rating: 6.9 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

Job description

Overview

As a machine learning engineer in the Economics team, you will build state-of-the-art systems that blend rigorous economic thought with sophisticated machine learning algorithms to tackle some of the company's most challenging problems. Working in a horizontal team, you will have the opportunity to collaborate closely with partners across multiple functions to operate on a highly diverse set of problems, contributing both economic and engineering expertise in a fast-paced environment filled with exciting opportunities for technically-minded economists.

The Economics team at Instacart works on a range of interesting and challenging problems across our platform, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making. Some of the core areas of focus for our team include matching and logistics, online advertising, uplift and long-term value modeling, and general causal inference. Check out this blog post to learn more.

About the Job
  • 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.
About You

We are open to hiring either a Machine Learning Engineer II, Economist (fresh PhD graduate) or a Senior Machine Learning Engineer I, Economist (post-PhD industry experience).

Minimum Qualifications
  • Graduate Degree (Masters or PhD) in Economics or a closely related field
  • A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one.
  • 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.

For Senior Machine Learning Engineer I, Economist hires, we also expect:

  • 1-3 years of industry experience in a similar position.
  • Experience putting machine learning models into production environments.
  • Experience with cloud computing and related ML infrastructure.
Preferred Qualifications
  • A 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.
 

#LI-Remote

What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Instacart logo

About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012

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