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Senior Machine Learning Researcher Jobs in Oregon

Instacart

Senior Machine Learning Engineer, Economist

OR · On-site +1

$91K - $116K/yr

Be an active member of the Economics team, sharing learnings, best practices, and research across ... For Senior Machine Learning Engineer I, Economist hires, we also expect: * 1-3 years of industry ...

OneStudyTeam

Senior Machine Learning Engineer

OR · On-site +1

$140K - $190K/yr

By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in ... We're looking for an experienced ML engineer who is passionate about turning advanced AI research ...

Anno.ai

Senior Machine Learning Engineer

OR · On-site +1

$104K - $143K/yr

Position Overview As a Senior Machine Learning Engineer at Anno.ai, you will design, develop, test ... Work closely with autonomy researchers, software engineers, systems teams, and field operators to ...

Intel

Sr. Machine Learning Engineer

Hillsboro, OR · On-site

$113K - $156K/yr

This role sits at the intersection of research and engineering: the ideal candidate designs and ... machine learning engineering, data science or ML research. * Experiences designing and building ...

Cresta

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team ... research into scalable, production-grade systems. * Agent & System Quality: Design evaluation ...

FloVision Solutions

Machine Learning Engineer

OR · On-site +1

POSITION OVERVIEW As a Machine Learning Engineer at FloVision, you will design, develop, and ... On-site data collection for model training and validation * R&D visits to one of our in-person ...

Upstart

Senior Manager, Machine Learning

OR · On-site +1

Managing MLE-heavy engineering and research efforts to optimize our core unsecured personal loan ... Experience * 6+ years of experience developing and deploying machine learning models in production ...

Cresta

Staff Machine Learning Engineer

OR · On-site +1

... research into scalable, production-grade systems. * Agent & System Quality: Design evaluation ... Mentor senior engineers, raise the technical bar, and contribute to long-term AI strategy and ...

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Senior Machine Learning Researcher information

What does a senior machine learning researcher do?

A Senior Machine Learning Researcher leads the development and application of advanced machine learning models to solve complex problems. They are responsible for designing experiments, analyzing large datasets, publishing research findings, and collaborating with engineering teams to implement solutions. Additionally, they mentor junior researchers, stay updated with the latest advancements in AI, and often contribute to setting the research agenda for their organization.

What are the key skills and qualifications needed to thrive as a senior machine learning researcher, and why are they important?

To thrive as a Senior Machine Learning Researcher, you need advanced knowledge in machine learning algorithms, statistical analysis, programming (typically in Python), and a relevant advanced degree such as a PhD or Master's in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, as well as familiarity with cloud computing platforms and research publication, is often required. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and present complex ideas clearly. These skills and qualities are essential for driving innovation, developing robust models, and translating research into practical, impactful solutions.

What opportunities for collaboration typically exist for senior machine learning researchers within a company?

Senior Machine Learning Researchers frequently collaborate with cross-functional teams, including data engineers, software developers, and domain experts. This collaboration ensures that research insights are effectively translated into scalable solutions and integrated into products or services. Researchers often participate in brainstorming sessions, code reviews, and joint publications, fostering a culture of innovation and shared knowledge. These interactions not only drive the success of projects but also provide valuable learning experiences and networking opportunities.

What is the difference between Senior Machine Learning Researcher vs Data Scientist?

AspectSenior Machine Learning ResearcherData Scientist
CredentialsAdvanced degrees in CS, ML, or related fieldsDegree in CS, statistics, or related fields; certifications optional
Work EnvironmentResearch labs, R&D teams, academiaBusiness analytics, product teams, startups
Industry UsageResearch-focused roles in tech, academia, R&DData analysis, business insights, product development
Search & Comparison IntentUnderstanding research vs applied roles in MLExploring data analysis careers and skills

While both roles involve working with data and machine learning, a Senior Machine Learning Researcher primarily focuses on developing new algorithms and advancing ML theory in research settings. In contrast, a Data Scientist applies existing models to analyze data, generate insights, and support business decisions. The roles differ mainly in their focus—research innovation versus practical application—though they share overlapping skills and credentials.

What are popular job titles related to Senior Machine Learning Researcher jobs in Oregon?

For Senior Machine Learning Researcher jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Researcher jobs in Oregon look for?

The top searched job categories for Senior Machine Learning Researcher jobs in Oregon are:

What cities in Oregon are hiring for Senior Machine Learning Researcher jobs?

Cities in Oregon with the most Senior Machine Learning Researcher job openings:

Senior Machine Learning Researcher jobs near you
Infographic showing various Senior Machine Learning Researcher job openings in Oregon as of June 2026, with employment types broken down into 2% As Needed, 49% Full Time, 47% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Senior Machine Learning Engineer, Economist

Instacart

OR • On-site, Remote

$91K - $116K/yr

Full-time

Posted 5 days ago

Instacart rating

6.7

Company rating: 6.7 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

41st of 64 rated delivery companies

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.
 

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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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