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Machine Learning Manager Jobs in Oregon (NOW HIRING)

Comfortable managing multiple initiatives across stakeholders and timelines * A clear communicator ... machine learning models * Demonstrated experience owning ranking, recommendation, or ...

Machine Learning Engineer 5 - Globalization

OR · On-site +1

$466K - $750K/yr

We are looking for an experienced Machine Learning Engineer with deep expertise in training and ... You will partner with a talented cross-functional team of scientists, engineers, product managers ...

To do so, we build Machine Learning technology that can accurately predict which apps a user will like, and connect them in a compelling way. Our systems operate at a scale unseen outside of the ...

Senior Product Manager, Ads Quality

OR · On-site +1

$126K - $166K/yr

As part of the Ad Product team, you'll sit at the intersection of machine learning, marketplace ... We're looking for a Senior Product Manager to own the systems that drive core auction understanding ...

... and machine learning techniques to enhance data analysis capabilities - Facilitating the ... Managing projects with strategic planning and execution - Embracing technology and innovation to ...

Senior Manager, Privacy Engineering

OR · On-site +1

$100K - $128K/yr

The team works across Engineering, Security, Legal, Compliance, Product, Data, and Machine Learning ... As the Senior Manager, Privacy Engineering at Upstart, you will lead the team responsible for ...

... Managers, Engineers, and Sales stakeholders to identify where AI can drive the most impact - and ... machine learning to help sellers work smarter, close more deals, and scale Ads revenue without ...

Support deployment and lifecycle management of models within Azure Machine Learning, AWS, or similar platforms * Perform model validation, testing, and documentation to ensure quality and ...

You will work closely with our machine learning researchers, product managers, and other engineers to come up with new systems, improve existing ones, and enable offline experiments and A/B tests.

The ML Ops Engineer will work at the intersection of advanced AI/ML development, machine learning system deployment, and mission-critical applications, ensuring end-to-end lifecycle management of AI ...

Work with product managers and business partners to gather requirements for machine learning models * Build model deployment platform that can simplify implementing new models * Build end-to-end ...

Showing results 21-40

Machine Learning Manager information

See Oregon salary details

$53.9K

$86.4K

$124.8K

How much do machine learning manager jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning manager in Oregon is $86,389.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $97,800.00 per year, depending on experience, location, and employer.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.

What are the key skills and qualifications needed to thrive as a machine learning manager?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

What are the most commonly searched types of Machine Learning jobs in Oregon?

The most popular types of Machine Learning jobs in Oregon are:

Infographic showing various Machine Learning Manager job openings in Oregon as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $86,389 per year, or $41.5 per hour.

Senior Machine Learning Engineer, Operations Research

Instacart

OR • On-site, Remote

$204K/yr

Full-time

Re-posted 11 days ago


Instacart rating

7.1

Company rating: 7.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

28th of 64 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:

  • 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
  • Graduate degree (masters or PhD) in Operations Research or Industrial Engineering or closely related field

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