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Math Research Internship Jobs in Oregon (NOW HIRING)

Instacart

OR

D. student in computer science, mathematics, statistics, economics, or related areas. * Strong ... Prior industry or research internship in machine learning or AI * Interest and experience in ...

Intel

Operations Research Engineer

Hillsboro, OR

$149K - $211K/yr

Operations Research Engineers design, develop, and apply advanced engineering and mathematical ... and specialized internships in manufacturing or operations research environments. Job Type:

Intel

Module Engineering Undergraduate Intern

Hillsboro, OR · On-site

$18.25 - $23.75/hr

... internship experiences and or schoolwork/classes/research. Minimum Qualifications: * BS student in ... Science, Math, Statistics, Computer Engineering, or Computer Science Preferred Qualifications:

Intel

Machine Learning Engineer

Hillsboro, OR · On-site

Required Qualifications * BS in CS, EE, Math or related STEM field * 5+ years software development ... internship experiences and or schoolwork/classes/research. Benefits at Intel Our total rewards ...

Intel

Foundry Strategic Industrial Engineer

Hillsboro, OR · On-site

$76K - $102K/yr

... research and/or relevant previous job and/or internship experiences. Minimum Qualifications: * A Bachelor's degree in an Engineering, Mathematics, or Statistics discipline and 3+ years of relevant ...

AcuityMD

Data Analyst, Software Engineering Track

OR · On-site +1

$80K - $100K/yr

Research issues end-to-end, identify root causes, and validate findings across multiple data ... Recent graduates and candidates with relevant internship experience are encouraged to apply.

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Math Research Internship information

What types of projects do math research interns typically work on, and how are they integrated into ongoing research teams?

Math research interns often contribute to ongoing projects in areas such as data analysis, algorithm development, statistical modeling, or pure mathematical theory, depending on the organization's focus. Interns usually work under the guidance of a lead researcher or mentor and participate in regular team meetings, progress reviews, and collaborative problem-solving sessions. This structure helps interns gain exposure to real-world research processes and encourages skill development through hands-on experience and feedback. The collaborative environment also allows interns to build professional connections and learn from experienced mathematicians.

What is the difference between Math Research Internship vs Data Analyst?

AspectMath Research InternshipData Analyst
Required CredentialsTypically pursuing or holding a degree in mathematics, statistics, or related fieldsOften requires a degree in statistics, mathematics, or data science
Work EnvironmentAcademic or research institutions, universities, or research labsCorporate, finance, healthcare, or tech companies
Industry UsageUsed in academic research, scientific studies, and theoretical projectsApplied in business analytics, market research, and data-driven decision making

While both roles involve quantitative skills and data analysis, a Math Research Internship focuses on theoretical and academic research in mathematics, often within educational or research institutions. In contrast, a Data Analyst applies data analysis techniques to solve practical business problems in various industries.

What is a Math Research Internship?

A Math Research Internship is a temporary position, often held by undergraduate or graduate students, where participants work on mathematical research projects under the guidance of experienced mentors or faculty. These internships provide hands-on experience in applying mathematical theories, developing new approaches to problem-solving, and sometimes contributing to publishable research. Interns gain exposure to real-world applications of mathematics and build valuable skills for academic or industry careers. Math research internships can be found at universities, research institutes, and companies that rely on advanced mathematics.

What are the key skills and qualifications needed to thrive as a Math Research Intern, and why are they important?

To thrive as a Math Research Intern, you need a solid background in advanced mathematics, analytical thinking, and problem-solving, typically supported by progress toward a relevant degree. Familiarity with mathematical software such as MATLAB, Mathematica, or Python, as well as experience with data analysis and LaTeX for documentation, is often expected. Strong communication, collaboration, and perseverance help interns contribute effectively to research teams and present findings clearly. These skills are crucial for tackling complex problems, advancing research objectives, and communicating results within academic or industry environments.
What are the most commonly searched types of Math Research jobs in Oregon? The most popular types of Math Research jobs in Oregon are:
What are popular job titles related to Math Research Internship jobs in Oregon? For Math Research Internship jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Math Research Internship jobs in Oregon look for? The top searched job categories for Math Research Internship jobs in Oregon are:
Math Research Internship jobs near you
Machine Learning Engineer, PhD Intern (Fall)

Machine Learning Engineer, PhD Intern (Fall)

Instacart

OR

Other

Re-posted 19 days ago

Instacart rating

7.1

Company rating: 7.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

29th of 63 rated delivery companies

Job description

OVERVIEW

Since 2012, Instacart has been focused on making grocery delivery convenient, affordable, and accessible to everyone. We bring fresh groceries and everyday essentials to customers across the US and Canada from nearly 55,000 stores across 5,500 markets. Our mission is to create a world where everyone has access to the food they love, and to achieve that goal, we innovate in a wide range of areas including e-commerce, advertising, and fulfillment.

Machine learning is central to how we build intelligent shopping experiences at Instacart. We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. A few examples:

  • We build state-of-the-art models powering Search, Discovery, and Ads, combining generative AI and traditional machine learning to create best-in-class recommendations
  • We build rich product and knowledge graphs from catalog data imported from hundreds of retailers, applying them in recommendations and other user experiences
  • We redefine traditional domains across the company with AI, such as hyperpersonalized marketing and 0 1 meal planning products

We are looking for talented Ph.D. students to join our fast-moving ML teams and work on high-impact problems at the intersection of LLM research, large-scale ML systems, and real-world e-commerce applications.

ABOUT THE JOB

Based on your passion and background, you may choose to work in a few different areas:

  • Query understanding: Using cutting-edge AI and LLM-based techniques to understand user intent, refine queries, and support downstream retrieval and ranking.
  • Search relevance and ranking: Improving search relevance by incorporating signals from user behavior, catalog knowledge, and generative models, including hybrid retrieval and ranking systems.
  • Generative recommendations: Pushing the boundaries of where generative and traditional models intersect across retrieval and ranking systems; developing scalable feedback and reward modeling approaches for closed-loop learning (RFT).
  • LLM evaluation and AIQA systems: Building LLM-based evaluation frameworks (e.g., LLM-as-a-Judge, self-critique) to improve the quality and reliability of generative and agentic systems.
  • Low-latency and scalable LLM systems: Researching techniques to deploy LLMs in high-traffic, latency-sensitive production environments, balancing quality, cost, and latency through cascading, distillation, and selective generation.
  • Knowledge graphs: Working on graph data management and knowledge discovery over one of the world's largest grocery catalogs, and integrating structured knowledge with LLM-based reasoning and natural language interfaces.
  • Sequence modeling: Building temporal models for user behavior prediction.

ABOUT YOU

Minimum Qualifications:

  • Ph.D. student in computer science, mathematics, statistics, economics, or related areas.
  • Strong programming (Python, Golang) and algorithmic skills.
  • Solid foundations in machine learning, algorithms, or optimization
  • Curious, self-motivated, and comfortable working on open-ended problems

Preferred Qualifications: 

  • Ph.D. student at a top tier university in the United States 
  • Hands-on experience with generative or traditional modeling frameworks (PyTorch, Tensorflow, vLLM)
  • Prior industry or research internship in machine learning or AI
  • Interest and experience in translating research ideas into scalable production systems

What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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