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Senior Machine Learning Researcher Jobs in Oregon

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 ...

OR

$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 ...

Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our ... UX designers/researchers * Define and implement evaluation, observability, and production ...

OR · On-site

$104K - $143K/yr

About the role We are looking for a Senior Machine Learning Engineer, Voice Experience to help ... You will partner closely with applied researchers, product managers, designers, forward deployed ...

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 ...

OR

$122K - $161K/yr

Design, prototype, research and build AI systems for Vectara. * Train, evaluate and deploy ML ... machine learning to real-world problems, and crafting scalable and effective ML/AI solutions.

OR · On-site

$122K - $161K/yr

Senior Machine Learning Engineer, Data & Intelligence Products AcuityMD is a software and data ... Engineer features and conduct applied research across time-series, geospatial, demographic ...

OR

$91K - $124K/yr

Overview As a Senior Machine Learning Engineer II on the Ads Response Prediction team, you will ... This is a research-leaning role focused on theoretical problem formulation, training methodology ...

OR

$205K - $355K/yr

Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform, including newsfeed, notifications, ad relevance ...

Senior Staff Machine Learning Scientist, Assets

OR · On-site +1

$91K - $124K/yr

We're looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems ... Lead and drive ambitious research initiatives that advance the state of the art in computer vision ...

OR · On-site

We are seeking a Senior Manager to lead a group of Research Scientists, ML Engineers, Data ... Master's or PhD in Machine Learning, Computer Science, or a closely related field (or equivalent ...

Candidates should bring some relevant research experience, typically in computationally intensive empirical topics, as well as some exposure to machine learning coursework and applications. The ...

Machine learning is central to how we build intelligent shopping experiences at Instacart. We use ... Researching techniques to deploy LLMs in high-traffic, latency-sensitive production environments ...

OR

$170K - $334K/yr

Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including newsfeed, notifications, ads relevance ...

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Showing results 1-20

Senior Machine Learning Researcher information

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 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 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 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 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:
Infographic showing various Senior Machine Learning Researcher job openings in Oregon as of June 2026, with employment types broken down into 88% Full Time, 10% Part Time, 1% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.
Senior Machine Learning Engineer, Operations Research

Senior Machine Learning Engineer, Operations Research

Instacart

OR • Remote

$204K/yr

Other

Posted 11 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:

We are looking for a Senior Machine Learning Engineer with a strong Operations Research background to join the Service Availability & Routing team within Instacart's Logistics organization. In this role, you will work at the intersection of combinatorial optimization, mathematical programming, and AI to solve high-impact problems in the fulfillment space - including order batching, shopper routing, service availability prediction, and real-time assignment. You'll partner closely with engineering, product, and data science to ship models and algorithms that directly influence Instacart's profitability and shopper experience at scale.

The Logistics & ML group is responsible for the intelligence and execution behind Instacart's fulfillment system. The team optimizes a multi-sided marketplace to ensure customers get their orders on-time and in high quality, shoppers get efficient and fulfilling work, and retailers and consumer brands get reasonable business. The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial, as well as foundational problems executing on a high throughput system with dynamic data.

About the Job:

  • Design, develop, and deploy machine learning solutions to tackle practical challenges in the marketplace.
  • Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML applications.
  • Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.
  • Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.


About You:

Minimum Qualifications:

  • Have a graduate degree (masters or PhD) in Operations Research or Industrial Engineering
  • 3+ years of industry experience using machine learning to solve real-world problems with large datasets
  • Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
  • Have strong analytical skills and problem-solving ability
  • Are a strong communicator who can collaborate with diverse stakeholders across all levels

Preferred Qualifications:

  • Knowledge of deep learning frameworks and methodologies
  • Experience in applying machine learning and optimization techniques to solve marketplace problems


#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