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Aws Machine Learning Jobs in Oregon (NOW HIRING)

Natera

OR · On-site

Build scalable, production-quality machine learning workflows and pipelines using cloud infrastructure (AWS) * Apply modern machine learning techniques including convolutional neural networks (CNNs ...

iHerb

OR

$134K - $180K/yr

Job Summary: The Machine Learning Engineer will tackle challenging problems and create scalable ... AWS Lambdas and Google functions, etc.) * Exposure to all aspects of the software development life ...

phData

OR · On-site

We are looking for a Machine Learning Architect to join our Machine Learning team. In this role ... g., AWS, Databricks, Cloudera), with familiarity across data and messaging systems such as JMS ...

OneStudyTeam

Senior Machine Learning Engineer

OR · Remote

$140K - $190K/yr

By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in ... You'll use technologies like Python (and Clojure), AWS services (Athena, Bedrock, SageMaker, etc ...

Bespoke Labs

Machine Learning Engineer

Salem, OR · On-site

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Gresham, OR · On-site

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Portland, OR · On-site

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Bespoke Labs

Machine Learning Engineer

Eugene, OR · On-site

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Career Opportunities | (ISC)²

Relevant cloud, architecture, or AI certifications are preferred (for example, Azure AI Engineer, AWS Machine Learning, Google Professional Machine Learning Engineer, or equivalent architecture ...

(ISC)2

Relevant cloud, architecture, or AI certifications are preferred (for example, Azure AI Engineer, AWS Machine Learning, Google Professional Machine Learning Engineer, or equivalent architecture ...

Corvel

Data Scientist II

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 ...

Robots and Pencils

OR

$64.75 - $85/hr

AWS Specialty certifications (Machine Learning - Specialty, Security - Specialty). * Experience with advanced agentic reasoning patterns (ReAct,CoT, Tree-of-Thoughts) implemented on Bedrock.

Robots and Pencils

OR

$64.75 - $85/hr

AWS Specialty certifications (Machine Learning - Specialty, Security - Specialty). * Experience with advanced agentic reasoning patterns (ReAct,CoT, Tree-of-Thoughts) implemented on Bedrock.

iHerb

OR

$114K - $137K/yr

Partners with data scientists to design, build, and maintain reproducible machine-learning ... AWS Certified Cloud Practitioner #LI-JC1

Deckers

Sr. Manager, Data & ML Engineering

OR · Remote

AWS certifications (Data, Machine Learning, or Solution Architecture) are a plus * 8 to 12 years of experience building enterprise-grade data platforms and pipelines * 3 to 5+ years leading data ...

BetterHelp

OR

Design, prototype and productionize scalable AI/machine learning models * Play a critical in ... Experience working with AWS Lambda, ECS, ECR, Sagemaker or other cloud based platforms * Prior ...

Nike

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

Position requires: • Distributed Systems • CI/CD Pipelines • Machine Learning Pipelines • Cloud Platforms (Azure, AWS, GCP) • API Development • Model development and Training • ...

Netflix

OR

$466K - $750K/yr

... machine learning libraries TensorFlow, PyTorch, JAX or Keras Experience with cloud computing platforms like AWS Background in math, statistics, or numerical computation Significant contributions to ...

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How much do aws machine learning jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for aws machine learning in Oregon is $74.07, according to ZipRecruiter salary data. Most workers in this role earn between $65.82 and $86.39 per hour, depending on experience, location, and employer.

What is an AWS Machine Learning job?

An AWS Machine Learning job involves designing, building, and deploying machine learning models using Amazon Web Services (AWS) cloud infrastructure. Professionals in this role work with services like Amazon SageMaker, AWS Lambda, and AWS Glue to develop AI-driven applications. They optimize models for scalability, integrate them into cloud-based systems, and ensure efficient data processing. Strong knowledge of machine learning algorithms, AWS architecture, and MLOps best practices is essential for success in this role.

What are the key skills and qualifications needed to thrive in the Aws Machine Learning position, and why are they important?

To thrive as an AWS Machine Learning professional, you need a strong understanding of machine learning principles, proficiency in programming languages like Python, and experience with AWS cloud services such as SageMaker. AWS Certified Machine Learning certification and familiarity with data pipelines, EC2, and Lambda are commonly required. Strong problem-solving, communication, and teamwork skills help you translate business requirements into technical solutions and collaborate effectively with diverse stakeholders. These skills are essential to efficiently deploy and manage scalable machine learning models that deliver business value in cloud-based environments.

What are some typical responsibilities for someone working in an AWS Machine Learning role?

In an AWS Machine Learning position, you'll typically design, develop, and deploy machine learning models using AWS services like SageMaker, Glue, and Lambda. Daily tasks often include data preprocessing, building and training models, and optimizing performance for production environments. You'll collaborate closely with data engineers, software developers, and business analysts to translate business needs into technical solutions. The role may also involve monitoring deployed models, managing cloud resources, and staying updated on new AWS features to ensure efficient and scalable machine learning workflows.

What are the most commonly searched types of Aws Machine Learning jobs in Oregon? The most popular types of Aws Machine Learning jobs in Oregon are:
What are popular job titles related to Aws Machine Learning jobs in Oregon? For Aws Machine Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Aws Machine Learning jobs in Oregon look for? The top searched job categories for Aws Machine Learning jobs in Oregon are:
What cities in Oregon are hiring for Aws Machine Learning jobs? Cities in Oregon with the most Aws Machine Learning job openings:
Aws Machine Learning jobs near you
Infographic showing various Aws Machine Learning job openings in Oregon as of July 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $154,073 per year, or $74.1 per hour.
Machine Learning Scientist, Multimodal AI

Machine Learning Scientist, Multimodal AI

Natera

OR • On-site

Other

Posted 26 days ago

Natera rating

7.6

Company rating: 7.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

54th of 105 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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