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Deep Learning Jobs in Remote, OR (NOW HIRING)

Nemo IT Solutions

Be Seen First

AI/ML Engineer

Dallas, TX · Remote

$80K - $120K/yr

Knowledge of Deep Learning, NLP, Computer Vision, or Generative AI is a plus. * Familiarity with AWS/Azure/GCP, Docker, Kubernetes, and MLOps concepts is preferred. * Strong analytical, problem ...

New

Nemo IT Solutions

Be Seen First

AI/ML Engineer

Dallas, TX · Remote

$80K - $120K/yr

Knowledge of Deep Learning, NLP, Computer Vision, or Generative AI is a plus. * Familiarity with AWS/Azure/GCP, Docker, Kubernetes, and MLOps concepts is preferred. * Strong analytical, problem ...

New

SOSi

Senior Data Scientist

OR

Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering. * Experience with data provenance tracking, model explainability, and bias ...

SOSi

Senior Data Scientist

Myrtle Point, OR · On-site

Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering. * Experience with data provenance tracking, model explainability, and bias ...

SOSi

Senior Data Scientist

OR · On-site +1

Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering. * Experience with data provenance tracking, model explainability, and bias ...

Bausch+Lomb Companies Inc.

AI Agent ML Engineer

OR

$165K - $190K/yr

Our iconic brand is built on the deep trust and loyalty of our customers established over our 170 ... Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning ...

Bausch + Lomb

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$165K - $190K/yr

Our iconic brand is built on the deep trust and loyalty of our customers established over our 170 ... Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning ...

RecruitWell

Cardiology - Noninvasive Physician

Coos Bay, OR

$334K - $378K/yr

Onsite child care and learning center Facility Highlights - Bay Area Hospital * 127-bed, Level III ... Coastal highway access and deep-water port infrastructure Referral & Contact Info * Generous ...

Sapiens

Associate Business Analyst

OR · On-site +1

... • Learning and following internal processes, standards, and best practices. • Building ... With more than 600 insurers in over 30 countries running on Sapiens, our deep industry expertise is ...

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All JobsDeep Learning JobsDeep Learning Jobs in Remote, OR

Deep Learning information

See Remote, OR salary details

$11K

$83.8K

$139.9K

How much do deep learning jobs pay per year?

As of Jul 16, 2026, the average yearly pay for deep learning in Remote, OR is $83,803.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,900.00 and $138,900.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Deep learning professionals, data scientists, and AI ethics specialists are likely to continue thriving as AI advances, due to their specialized skills in developing, managing, and overseeing AI systems. These roles require critical thinking, domain expertise, and ongoing learning to adapt to evolving technologies. Skills in programming, machine learning frameworks, and ethical considerations will remain valuable in the AI-driven job market.

What jobs use deep learning?

Jobs that use deep learning include roles such as machine learning engineer, data scientist, AI researcher, and computer vision engineer. These positions typically require skills in programming, neural networks, and frameworks like TensorFlow or PyTorch, and are common in technology, healthcare, automotive, and finance industries.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such salaries are rare and generally found in top tech companies or specialized AI firms.

What are the typical daily responsibilities of a Deep Learning professional?

As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.

What jobs pay $500,000 a year in the US?

In the field of deep learning, senior roles such as AI research directors, machine learning executives, and lead data scientists at large tech companies can earn $500,000 or more annually, especially with bonuses and stock options. These positions typically require extensive experience, advanced degrees, and expertise in neural networks, programming, and large-scale data processing.

What is a Deep Learning job?

A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.

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

To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.

What are the most commonly searched types of Deep Learning jobs in Remote, OR? The most popular types of Deep Learning jobs in Remote, OR are:
What are popular job titles related to Deep Learning jobs in Remote, OR? For Deep Learning jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Deep Learning jobs in Remote, OR look for? The top searched job categories for Deep Learning jobs in Remote, OR are:
Deep Learning jobs near you
Infographic showing various Deep Learning job openings in Remote, OR as of July 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $83,803 per year, or $40.3 per hour.
AI/ML Engineer

AI/ML Engineer

Nemo IT Solutions

Dallas, TX • Remote

$80K - $120K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

  • 2–5 years of experience in AI/ML development.
  • Strong proficiency in Python, SQL, and Machine Learning algorithms.
  • Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
  • Experience in data preprocessing, model training, evaluation, and deployment.
  • Knowledge of Deep Learning, NLP, Computer Vision, or Generative AI is a plus.
  • Familiarity with AWS/Azure/GCP, Docker, Kubernetes, and MLOps concepts is preferred.
  • Strong analytical, problem-solving, and communication skills.