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Mathematical Optimization Jobs in Oregon (NOW HIRING)

Instacart

OR · On-site

Overview The Advertiser Optimization team is the decision-making engine of Instacart's $1B+ ads ... MS or PhD in operations research, applied mathematics, control systems, computational economics, or ...

Varsity Tutors

Applied Mathematics Tutor

OR · Remote

$18 - $40/hr

Skilled at breaking down mathematical model construction, numerical solution algorithms, and optimization procedures. Guides students through formulating real-world problems mathematically ...

Varsity Tutors

Applied Mathematics Tutor

Portland, OR · Remote

$18 - $40/hr

Skilled at breaking down mathematical model construction, numerical solution algorithms, and optimization procedures. Guides students through formulating real-world problems mathematically ...

Varsity Tutors

Applied Mathematics Tutor

Eugene, OR · Remote

$18 - $40/hr

Skilled at breaking down mathematical model construction, numerical solution algorithms, and optimization procedures. Guides students through formulating real-world problems mathematically ...

Varsity Tutors

College Math Tutor

Portland, OR · Remote

$18 - $40/hr

... and mathematical modeling problems. Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and ...

Varsity Tutors

College Math Tutor

OR · Remote

$18 - $40/hr

... and mathematical modeling problems. Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and ...

Varsity Tutors

College Math Tutor

Eugene, OR · Remote

$18 - $40/hr

... and mathematical modeling problems. Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and ...

Cellanome

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

Understanding of mathematical foundations relevant to algorithm development, including linear algebra, probability/statistics, optimization methods, and estimation theory. * Experience applying ...

Upstart

OR

Upstart's Growth and Marketplace Optimization teams are responsible for building the decision ... Advanced degree in a quantitative field such as statistics, mathematics, economics, computer ...

Intel

Middleware Development Engineer

Hillsboro, OR · On-site

Optimize runtime software for distributed computing systems, ensuring optimal latency and bandwidth ... Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or STEM ...

Waabi

OR · On-site

$141K - $242K/yr

... mathematical models to be used in factor graph optimization, Kalman filters, etc. - Develop highly optimized, low-latency Rust code that runs directly on the vehicle's various compute devices in real ...

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All JobsMathematical Optimization JobsMathematical Optimization Jobs in Oregon

Mathematical Optimization information

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$16.9K

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$107.8K

How much do mathematical optimization jobs pay per year?

As of Jul 7, 2026, the average yearly pay for mathematical optimization in Oregon is $58,990.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,100.00 and $76,700.00 per year, depending on experience, location, and employer.

What is a Mathematical Optimization job?

A Mathematical Optimization job involves using mathematical techniques and algorithms to find the best possible solution to a given problem while satisfying constraints. Professionals in this field work in industries like finance, logistics, engineering, and artificial intelligence to optimize processes, minimize costs, or maximize efficiency. They use tools like linear programming, integer programming, and machine learning to solve complex decision-making problems.

What are some typical projects or problems tackled by professionals in Mathematical Optimization?

Professionals in Mathematical Optimization often work on projects involving resource allocation, supply chain management, scheduling, logistics, network design, or financial portfolio optimization. They use mathematical models to define and solve problems where the objective is to maximize efficiency or minimize costs under various constraints. Work may include collaborating with cross-functional teams to gather requirements, analyze large datasets, develop optimization algorithms, and implement solutions within existing business systems. These roles are found across industries such as manufacturing, transportation, finance, and technology, providing diverse and challenging opportunities. This variety in project scope allows for continuous learning and professional growth.

What are the key skills and qualifications needed to thrive in the Mathematical Optimization position, and why are they important?

To thrive in Mathematical Optimization, you need a strong background in mathematics, statistical modeling, and algorithm development, often supported by a degree in mathematics, operations research, engineering, or related fields. Proficiency with programming languages such as Python, MATLAB, or specialized optimization software (like Gurobi, CPLEX, or AMPL) is typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex concepts clearly are critical soft skills for this role. These skills enable professionals to design effective solutions, interpret results, and convey recommendations to both technical and non-technical stakeholders.

What are the most commonly searched types of Mathematical Optimization jobs in Oregon? The most popular types of Mathematical Optimization jobs in Oregon are:
What are popular job titles related to Mathematical Optimization jobs in Oregon? For Mathematical Optimization jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Mathematical Optimization jobs in Oregon look for? The top searched job categories for Mathematical Optimization jobs in Oregon are:
What cities in Oregon are hiring for Mathematical Optimization jobs? Cities in Oregon with the most Mathematical Optimization job openings:
Mathematical Optimization jobs near you
Senior Applied Scientist II, Ads Optimization

Senior Applied Scientist II, Ads Optimization

Instacart

OR • On-site

Other

Posted 28 days ago

Instacart rating

7.0

Company rating: 7.0 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

32nd of 62 rated delivery companies

Job description

Overview

The Advertiser Optimization team is the decision-making engine of Instacart's $1B+ ads business. We own the systems responsible for Bidding, Pacing, Budgeting, and Targeting: converting stated advertiser goals into real-time auction actions. Our mission is to maximize realized Advertiser Value by deciding when to participate, how much to bid, and how fast to spend, all while balancing User Experience and Platform Revenue.

We are hiring a Senior Applied Scientist II to lead the algorithmic direction of these systems. This is a role for someone who thinks in terms of control theory, constrained optimization, and auction economics, and who can translate those frameworks into production code that makes millions of decisions per day. You will formulate problems from first principles, shape the technical roadmap, and own systems end-to-end from mathematical design through production deployment through impact measurement.

About the Job
  • Design and evolve real-time bid optimization systems that translate advertiser goals (target ROAS, budget constraints) into optimal auction bids under uncertainty. Formulate the bidding problem as constrained optimization and build the feedback mechanisms that keep bids aligned with realized outcomes.
  • Build intelligent budget pacing algorithms that distribute spend across time and auction opportunities. The core challenge: allocating a finite daily budget across stochastic demand while maximizing total value, subject to advertiser constraints and time-varying conversion dynamics.
  • Develop the analytical frameworks that connect bidding, pacing, and budgeting into a coherent optimization objective.
  • Shape auction mechanics including reserve pricing, multi-slot allocation, and bid-to-price mapping. Reason about mechanism design tradeoffs between advertiser outcomes, platform revenue, and marketplace efficiency.
  • Own the full research-to-production loop: diagnose system behavior from large-scale data, formulate hypotheses, design experiments, ship production code, and measure impact. Write technical strategy documents that set the algorithmic direction for the team.
About YouMinimum Qualifications
  • MS or PhD in operations research, applied mathematics, control systems, computational economics, or a related quantitative field.
  • 8+ years of experience building and deploying optimization or control systems in production environments (not just research prototypes).
  • Strong foundation in at least two of: feedback control theory (PID, MPC), convex and stochastic optimization, auction theory and mechanism design, dynamic programming.
  • Proficiency in one of the following languages: Go, Java, C++ for production systems and Python for data analysis and offline pipelines.
  • Demonstrated ability to translate mathematical formulations into production code that runs at scale (millions of decisions per day, sub-100ms latency constraints).
Preferred Qualifications
  • Experience with real-time bidding systems, ad auction optimization, or computational advertising at scale.
  • Background in budget-constrained allocation methods. Experience with adaptive control or model-predictive control in production systems.
  • Familiarity with causal inference and experimental design for evaluating algorithmic changes in marketplace settings.
  • Track record of shaping technical strategy and driving cross-functional alignment between engineering, product, and data science.

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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