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Artificial Intelligence Machine Learning Physics Jobs in Oregon

Senior AI / Data Science Engineer

Hillsboro, OR ยท On-site

$115K - $156K/yr

You will lead the development, deployment, and adoption of advanced Artificial Intelligence (AI), Machine Learning (ML), and Generative AI technologies that accelerate yield learning, improve process ...

AI Engineer

OR ยท On-site +1

This position will lead the design, development, and implementation of Artificial Intelligence (AI), Generative AI, Machine Learning (ML), and intelligent automation solutions that enhance enterprise ...

Temporary AI Engineer

OR ยท On-site +1

This position will lead the design, development, and implementation of Artificial Intelligence (AI), Generative AI, Machine Learning (ML), and intelligent automation solutions that enhance enterprise ...

... with artificial intelligence. We collaborate closely with one of the top medical schools in the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Sr. Machine Learning Engineer

Hillsboro, OR ยท On-site

$113K - $156K/yr

We're building intelligence that scales without sacrificing trust, cost, or the planet-because the future of AI should belong to the people it serves Role Summary We are seeking a **Machine Learning ...

... with artificial intelligence. We collaborate closely with one of the top medical schools in the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Showing results 21-40

Artificial Intelligence Machine Learning Physics information

What is artificial intelligence machine learning physics?

Artificial Intelligence Machine Learning Physics is an interdisciplinary field that applies AI and machine learning techniques to solve complex problems in physics. Experts in this area use algorithms to analyze large datasets, model physical phenomena, and accelerate scientific discoveries. The field combines knowledge of physics, computer science, and mathematics to design models that can predict, simulate, or interpret physical processes. Applications include materials science, quantum mechanics, astrophysics, and more, making it a rapidly growing area of research and industry.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning physicist, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Physicist, you need a strong background in physics, advanced mathematics, computer science, and experience with machine learning algorithms, typically supported by a graduate degree in a related field. Proficiency in programming languages such as Python or C++, machine learning frameworks like TensorFlow or PyTorch, and familiarity with data analysis tools are essential, along with experience in scientific computing. Critical thinking, problem-solving, and strong communication skills help you interpret complex data, collaborate across disciplines, and convey research findings effectively. These combined skills are crucial for developing innovative AI models, driving scientific discovery, and advancing technology at the intersection of physics and machine learning.

What collaborative projects can professionals in artificial intelligence machine learning physics expect to work on?

Professionals in Artificial Intelligence Machine Learning Physics often work on interdisciplinary teams, partnering closely with data scientists, physicists, and software engineers. They may contribute to projects such as developing advanced simulation tools, optimizing experimental data analysis, or creating machine learning models to predict physical phenomena. Collaboration is key, as these roles frequently involve integrating AI algorithms with physical models and leveraging domain-specific knowledge from physics experts. This dynamic environment fosters continual learning and offers opportunities to lead innovative research or transition into specialized engineering and research leadership roles.

What is the difference between Artificial Intelligence Machine Learning Physics vs Data Scientist?

AspectArtificial Intelligence Machine Learning PhysicsData Scientist
Required credentialsDegree in Computer Science, Physics, or related fields; certifications in AI/MLDegree in Statistics, Mathematics, Computer Science; certifications in data analysis
Work environmentResearch labs, tech companies, academia focusing on AI/ML applications in physicsBusiness, finance, healthcare sectors analyzing large datasets
Industry usageDeveloping AI models for physics simulations, research, and technologyExtracting insights from data to inform business decisions

Artificial Intelligence Machine Learning Physics and Data Scientist roles share a focus on data analysis and technical skills. However, AI/ML Physics emphasizes developing algorithms within physics contexts, while Data Scientists focus on analyzing diverse datasets across industries. Both roles often require similar educational backgrounds and certifications, but their applications and work environments differ significantly.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are growing fields with high demand for skilled professionals, including roles like AI engineers and data scientists. These careers often require strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. They offer competitive salaries and opportunities for innovation across various industries.

What are popular job titles related to Artificial Intelligence Machine Learning Physics jobs in Oregon?

For Artificial Intelligence Machine Learning Physics jobs in Oregon, the most frequently searched job titles are:

What cities in Oregon are hiring for Artificial Intelligence Machine Learning Physics jobs?

Cities in Oregon with the most Artificial Intelligence Machine Learning Physics job openings:

Senior Machine Learning Engineer, Computer Vision

Overwatch Imaging

Hood River, OR โ€ข On-site, Remote

$128K - $168K/yr

Full-time

Medical, Dental, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

About Overwatch:

Overwatch Imaging is an imagery intelligence technology company working to bring sensor autonomy to time-critical airborne search, detection,trackingand monitoring missions. Our Automated Sensor Operator (ASO) software, native to our own line of purpose-built Smart Sensors and as an upgrade for airborne video gimbal platforms, bringsSuperhuman VisionandWorkload Reductionto users of real-time imagery intelligence systems. We fundamentally believe that modern edge processing and AI-enabled autonomy can perform an important set of time-critical imagery intelligence missions better,fasterand moresafely than humans can alone.

Founded in 2016 in Hood River, Oregon, we support private sector companies as well as federal,stateand local agencies around the world with missions ranging from wildfire mapping and disaster response to law enforcement, border security, maritime domainawarenessand tactical intelligence.

About this Role:

Join our dynamic team to build, maintain, and optimize the end-to-end data and model pipelines that power our core Artificial Intelligence systems. This is a hands-on role perfect for an ambitious engineer who is passionate about taking raw data through the entire lifecycle, from scraping and wrangling to production-ready, trained models.
This role is remote-friendly, with a preference for candidates who can spend occasional time onsite in Hood River, OR.

What You'll Do:

  • MLOps and Training Infrastructure
    • Design and improve training pipelines to support faster, continuous model iteration
    • Enable scalable experimentation across datasets, model architectures, and training strategies
    • Improve reproducibility, experiment tracking, and comparison of training runs
  • Data Pipelines and Dataset Quality
    • Build and refine workflows for:
      • Data indexing, curation, and preprocessing
      • Label quality validation and dataset management
      • Data exploration for targeted labeling
    • Develop evaluation and tests that reflect real-world operating conditions
    • Improve synthetic data workflows to support targeted model improvement
  • Model Development and Experimentation
    • Train, evaluate, and iterate on computer vision models for:
      • Detection, segmentation, classification, tracking
      • Transformer and multi-modal architectures where appropriate
    • Continuously explore and evaluate:
      • new model families and research directions
      • Domain-specific optimizations for aerial imagery, small-object detection
    • Incorporate multi-modal inputs including:
      • Multiple image bands
      • Platform and sensor metadata (range, angles, telemetry, etc.)
  • Edge deployment and Optimization
    • Optimize models for deployment on embedded GPU platforms like Nvidia Jetson
    • Balance accuracy, latency, and resource constraints for real-world, real-time workflows


What You'll Bring

Core Experience

  • 5+ years of experience in machine learning, with a focus on computer vision
  • B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related technical field, or equivalent practical experience
  • Hands-on experience building and improving computer vision or perception modelsinproduction or real-world systems, especiallyfor object detection, object tracking
  • Strong understanding of model evaluation, including selecting metrics, building test sets, analyzing false positives/false negatives, and measuring performance over timefor iterative improvement


Technical Skills

  • Experience with PyTorch or Tensorflow
  • Strong understanding of modern computer vision architectures:
    • CNNs, transformers (ViTs), and/or multi-model models
    • OpenCV, NumPy, or similar
  • Experience building training and data pipelines for medium to large scale datasets
  • Strong python skills and solid software engineering fundamentals


Bonus

  • Aerial imagery, geospatial data, or remote sensing
  • Photogrammetry
  • Multi-modal learning systems
  • Familiarity with state estimation and tracking methods (Kalman Filters, DeepSORT, ByteTrack, etc)
  • Experience with performance languages (C++or similar)
  • Model deployment onto Nvidia Jetson based edge hardware


What We Offer:

  • Growth Opportunities: As a team member of a true startup, you will learn by doing and shape our future. The opportunities are limitless for those who want to grow their career.
  • Impact Opportunity: We work on missions that matter to keep people safe and make the world better, and we do it without bureaucracy at the speed of a startup.
  • Team Collaboration: Work in a fast-paced, collaborative environment with amazing teammates. The Overwatch Imaging leadership team believes in an open-door policy, meaning everyone has a voice and access to guidance, advice, feedback, and the ability to pitch crazy new products or ideas.
  • Late Start Wednesday: A weekly block to have focus time away from meetings and calls. An opportunity to work from home, flex your schedule or self-directed time to focus on training and development.
  • Time Off: Generous PTO to empower employees to make decisions about work life balance based on work and home needs.
  • Holidays: Overwatch Imaging recognizes 10 company holidays.
  • Ownership: Equity/Stock Options in our rapidly growing company.
  • Health Benefits: Medical/Dental premiums 100% covered by Overwatch Imaging for employees and their families, plus available pre-tax health savings account.
  • 401K: Employer matching contributions up to 4% of pay.

All applicants must be authorized to work on a permanent basis in the United States.

Overwatch Imaging is an equal opportunity workplace and makes employment decisions based on merit and business needs, regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity, Veteran status, or any other protected personal characteristic.

All applicants mustbe authorized towork on a permanent basis in the UnitedStates.

Overwatch Imaging is an equal opportunity workplace and makes employment decisions based on merit and business needs, regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity, Veteran status, or any other protected personal characteristic.

We encourage all qualified candidates to apply, even if theydon'tmeet every requirement listed

in this job description. We value diversity of experience and perspectives and are always looking

for talented individuals to join our team.

Export Control Compliance Notice
This position may involve access to data, technology, or software that is subject to U.S. export control laws and regulations, including the International Traffic in Arms Regulations (ITAR) and/or the Export Administration Regulations (EAR). As such, employment is contingent upon the applicant's ability to obtain any necessary export authorization, asdeterminedby an export compliance assessment conducted by the company.