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Neural Engineering Jobs in Oregon (NOW HIRING)

Natera

OR

You will collaborate with scientists, pathologists, bioinformaticians, and software engineers to ... Apply modern machine learning techniques including convolutional neural networks (CNNs), vision ...

Apple

Design Verification Engineer

Beaverton, OR

$184K - $324K/yr

... of IP: - Neural Engine hardware - DRAM subsystem, memory controller logic - Encode and Decode ... programming skills with knowledge of data structures and algorithms Experience with Python, Perl ...

Apple

Design Verification Engineer

Beaverton, OR

$184K - $324K/yr

... of IP: - Neural Engine hardware - DRAM subsystem, memory controller logic - Encode and Decode ... programming skills with knowledge of data structures and algorithms Experience with Python, Perl ...

Apple

Design Verification Engineer

Beaverton, OR

$184K - $324K/yr

... of IP: - Neural Engine hardware - DRAM subsystem, memory controller logic - Encode and Decode ... programming skills with knowledge of data structures and algorithms Experience with Python, Perl ...

Netflix

OR

In this role, you will apply your expertise in machine learning and software engineering to design ... Background in neural networks, natural language processing, or causal inference Contributions to ...

Montefiore

Senior AI Engineer

Odell, OR

$107K - $147K/yr

... of our engineering processes. * Ensure reliability, scalability, and fault tolerance of AI/ML ... Build and Deploy a diverse set of ML models (GLM, GBM, Neural Networks) and NLP solutions at scale.

Corvel

Data Scientist II

Working closely with product managers, engineering teams, and business stakeholders, this position ... neural networks, etc.), their real-world advantages/drawbacks and experience with applications

Liftoff

Staff Product Manager, Conversion ML

OR · On-site +1

... for our neural-net powered machine learning system, Cortex, which is built to predict users ... You'll be working with a world class engineering team who gets things done * You'll be working on ...

Intel

AI Performance Library Architect

Hillsboro, OR · On-site

$170K - $315K/yr

Software and AI (SAI) organization is looking for a software development engineer to work on oneDNN project ( ). oneDNN is a complex cross-platform open-source software project focusing on neural ...

Prodapt

Business Intelligence Analyst

Portland, OR · On-site

... Engineer, Application Developer, or equivalent. * Prior experience must include 3 years of ... Neural Networks; * 3 years of experience with Model Evaluation & Testing such as Accuracy ...

Nvidia

OR

Work is delivered in close partnership with data, platform, and product engineering to ensure ... and neural rendering-inspired representations to improve controllability and long-horizon ...

Varsity Tutors

Machine Learning Tutor

Eugene, OR · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Varsity Tutors

Machine Learning Tutor

OR · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

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Neural Engineering information

See Oregon salary details

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How much do neural engineering jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for neural engineering in Oregon is $20.42, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $22.12 per hour, depending on experience, location, and employer.

What is neural engineering?

Neural engineering is a multidisciplinary field that combines engineering, neuroscience, and computational approaches to understand, repair, enhance, or interface with the nervous system. Neural engineers develop devices such as brain-computer interfaces, neural prosthetics, and neurostimulation systems to restore or improve neural function. This field plays an important role in advancing treatments for neurological disorders and in creating technologies that bridge the gap between machines and the human brain.

What are the key skills and qualifications needed to thrive as a neural engineer, and why are they important?

To thrive as a Neural Engineer, you need a strong background in neuroscience, biomedical engineering, and signal processing, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as MATLAB or Python), neuroimaging tools, and hardware platforms used for neural interfacing is essential. Excellent problem-solving skills, collaboration, and clear communication set standout professionals apart in this multidisciplinary environment. These skills are crucial for developing innovative neural technologies and translating research into effective clinical or commercial solutions.

Is neural engineering a good career?

Neural engineering is a growing interdisciplinary field that combines neuroscience, engineering, and computer science to develop technologies like brain-computer interfaces and neural prosthetics. It offers opportunities in research, healthcare, and industry, often requiring advanced degrees and technical skills. The field is expected to expand as neurotechnology advances and healthcare needs increase.

What can you do with a neural engineering degree?

A neural engineering degree prepares individuals for careers in developing brain-computer interfaces, neuroprosthetics, and neural signal processing. Graduates often work in research, healthcare, or technology companies, utilizing skills in neuroscience, engineering, and programming to innovate medical devices and neural systems.

What are jobs in neural engineering?

Jobs in neural engineering focus on helping research and design biomedical devices like prosthetic limbs and artificial organs. In these roles, you may determine the best way to implement designs for each situation, figure out the best way to link mechanical systems to the human brain, and find the most cost-effective ways to build devices. Neural engineering differs from engineering regular prosthetic limbs in that they receive instructions directly from the brain and often send information back, rather than simply being attached to the body. This often involves programming specialized software and figuring out how to make devices that can teach the brain how to use them. In recent years, neural engineering has started to move out of the medical realm, and there may be more jobs of that nature in the future. Neural engineering is a specific type of biomedical engineering, but should not be confused with jobs in the broader category.

What are some common interdisciplinary challenges faced by neural engineers when collaborating with clinicians and data scientists?

Neural engineers frequently work on teams that include clinicians, data scientists, and hardware specialists, which can present unique interdisciplinary challenges. Effective communication is essential, as team members often have different technical backgrounds and priorities—clinicians focus on patient outcomes, while data scientists emphasize analytical accuracy. Bridging the gap between clinical needs and technical feasibility requires adaptability, openness to feedback, and a willingness to learn new concepts. Building strong collaborative relationships and participating in regular cross-functional meetings can help ensure that project goals are clearly understood and met by all stakeholders.
More about Neural Engineering jobs
What are popular job titles related to Neural Engineering jobs in Oregon? For Neural Engineering jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Neural Engineering jobs in Oregon look for? The top searched job categories for Neural Engineering jobs in Oregon are:
What cities in Oregon are hiring for Neural Engineering jobs? Cities in Oregon with the most Neural Engineering job openings:
Neural Engineering jobs near you
Infographic showing various Neural Engineering job openings in Oregon as of August 2026, with employment types broken down into 6% Internship, 76% Full Time, and 18% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $42,476 per year, or $20.4 per hour.

Machine Learning Scientist, Multimodal AI

Natera

OR

Full-time

Re-posted 10 days ago

Natera rating

7.6

Company rating: 7.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

60th of 120 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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