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Machine Learning Manager Jobs in Oregon (NOW HIRING)

Natera

Machine Learning Scientist, Multimodal AI

OR · On-site +1

Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. This ... Experience managing datasets and training workflows within distributed or cloud computing ...

Anno.ai

Senior Machine Learning Engineer

OR · On-site +1

$104K - $143K/yr

Manage ML runtime infrastructure using containerization and orchestration frameworks (e.g., Docker ... software engineering, machine learning engineering, MLOps, or related roles * Experience ...

Instacart

Senior Machine Learning Engineer, Economist

OR · On-site +1

$91K - $116K/yr

Overview As a machine learning engineer in the Economics team, you will build state-of-the-art ... Collaborate closely with product managers, data scientists, and other engineers to deeply ...

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 ... Collaborate across teams of data scientists, product managers, designers, engineers, and domain ...

Upstart

Staff Machine Learning Model Risk Specialist

OR · On-site +1

$98K/yr

The team's focus is on articulating sound model risk management principles and implementing them in collaboration with our peers on Upstart's Risk and Machine Learning teams. This work also includes ...

Upstart

Staff/Principal Machine Learning Engineer

OR · On-site +1

As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and ... This includes building a unified embeddings platform for training, serving, and managing ...

Gametime United

Head of Applied Machine Learning

OR · On-site +1

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

Nvidia

Senior Machine Learning Engineer, AI Safety

OR · On-site +1

$114K - $156K/yr

NVIDIA is seeking talented Deep Learning Scientists / AI Researchers / Machine Learning Engineers to join our rapidly growing AI Safety and Responsibility efforts for Enterprise Risk Management. In ...

Liftoff

Staff Product Manager, Conversion ML

OR · On-site +1

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 ...

Netflix

Machine Learning Scientist 5 - Sales, Ads DSE

OR · On-site +1

$466K - $750K/yr

... 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 ...

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All JobsMachine Learning JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Oregon

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 Sep 10, 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:

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

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

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

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

Machine Learning Manager jobs near you
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.

Machine Learning Scientist, Multimodal AI

OR • On-site, Remote

Natera
Biotechnology Research and Development • 1 - 5K employees
Learn more about Nateraexternal

Full-time

Re-posted 13 days ago

Natera rating

7.8

Company rating: 7.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

56th of 121 rated laboratories

Job description

POSITION SUMMARY:

Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. This role develops and deploys deep learning models across digital pathology, genomics, transcriptomics, and cell-free DNA (cfDNA) modalities. You will build multimodal AI systems that integrate imaging, molecular, and clinical data, leveraging proprietary genomic and clinical datasets. You will collaborate with scientists, pathologists, bioinformaticians, and software engineers to scale machine learning approaches that advance personalized oncology diagnostics and tumor-informed minimal residual disease (MRD) testing.

PRIMARY RESPONSIBILITIES:

  • Design, implement, and evaluate deep learning models across biomedical data modalities, including histopathology imaging, genomic sequencing, transcriptomics, and cfDNA features
  • Develop multimodal AI architectures that integrate H&E whole-slide imaging data with molecular and clinical data sources
  • Build scalable, production-quality machine learning workflows and pipelines using cloud infrastructure (AWS)
  • Apply modern machine learning techniques including convolutional neural networks (CNNs), vision transformers (ViTs), sequence transformers, representation learning, and foundation model fine-tuning
  • Collaborate across technical and clinical teams to translate machine learning prototypes into validated tools
  • Analyze model outputs to generate reproducible biological and clinical insights
  • Document pipelines thoroughly and communicate data-driven findings clearly to cross-functional stakeholders

QUALIFICATIONS:

  • PhD in Computer Science, Computational Biology, Biomedical Engineering, Bioinformatics, Statistics, or a related quantitative discipline with a focus on machine learning or AI
  • Core experience developing machine learning models for biomedical applications, specifically in medical imaging, computational pathology, genomics, transcriptomics, multi-omics, or molecular diagnostics
  • Hands-on expertise with PyTorch and strong production-level programming skills in Python
  • Practical application of deep learning architectures such as CNNs, transformers, attention mechanisms, and representation learning
  • Experience managing datasets and training workflows within distributed or cloud computing environments (AWS)
  • Proven ability to take ownership of research projects and translate prototypes into robust, deployment-ready workflows
  • Experience adapting pre-trained foundation models for downstream biomedical applications

PREFERRED QUALIFICATIONS:

  • Experience integrating imaging, molecular, and clinical data within unified multimodal machine learning frameworks
  • Technical familiarity with DNA sequencing, RNA sequencing, methylation, and ctDNA assays
  • Hands-on experience with digital pathology software and whole-slide imaging analysis
  • Exposure to survival modeling, longitudinal prediction, or time-to-event modeling
  • Experience applying self-supervised learning, weakly supervised learning, or multiple instance learning (MIL) to clinical data
  • Domain knowledge in oncology, biomarker discovery, or clinical precision medicine
  • Track record of peer-reviewed publications in machine learning or computational biology conferences and journals (e.g., NeurIPS, ICML, CVPR, MICCAI, Nature Biomedical Engineering)

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