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Remote Data Scientist Deep Learning Jobs in Salem, OR

Staff AI Research Engineer

Salem, OR · On-site +1

$216K - $338K/yr

Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch ... Experience with robot data collection, training, and testing on hardware for manipulation tasks.

Senior AI Research Engineer

Salem, OR · On-site +1

$195K - $304K/yr

Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch ... Experience with robot data collection, training, and testing on hardware to perform manipulation ...

Lead, mentor, and develop a team of data engineers, analysts, and scientists, ensuring alignment ... Foster a collaborative and innovative team culture, promoting continuous learning and professional ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. In this role, you'll apply your ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Staff AI Engineer, Perception

Salem, OR · On-site +1

$207K - $323K/yr

D. in Artificial Intelligence, Robotics, Computer Science, or a related discipline, with a strong ... deep convolutional neural networks, multi-object tracking, data association, supervised learning ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. In this role, you'll apply your ...

Senior Manager, AI Innovation

Salem, OR · On-site +1

$268K - $364K/yr

Accelerate our data flywheel strategy to combine teleoperation, synthetic data, and fleet learning ... D.) in Computer Science, Robotics, Electrical Engineering, or a related field. * Minimum of 8 years ...

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Showing results 1-20

Remote Data Scientist Deep Learning information

See Salem, OR salary details

$37.7K

$123.4K

$197.5K

How much do remote data scientist deep learning jobs pay per year?

As of Aug 24, 2026, the average yearly pay for remote data scientist deep learning in Salem, OR is $123,357.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,000.00 and $136,700.00 per year, depending on experience, location, and employer.

What is a remote data scientist specializing in deep learning?

Remote data scientists specializing in deep learning are professionals who use advanced machine learning techniques, particularly deep neural networks, to analyze large amounts of data and extract meaningful insights. They work from remote locations, leveraging digital tools to build, train, and deploy deep learning models for tasks such as image recognition, natural language processing, and predictive analytics. These experts collaborate with other team members virtually, contributing to projects in industries like healthcare, finance, and technology without needing to be physically present in an office.

What are the key skills and qualifications needed to thrive as a remote data scientist specializing in deep learning?

To thrive as a Remote Data Scientist specializing in Deep Learning, you need a strong background in mathematics, statistics, programming (especially Python), and experience with deep learning frameworks such as TensorFlow or PyTorch, often supported by a relevant degree. Familiarity with cloud platforms (e.g., AWS, GCP), version control systems like Git, and certifications in machine learning are highly beneficial. Strong analytical thinking, problem-solving abilities, and effective remote communication skills help you stand out in this position. These skills and qualities are essential for designing robust models, collaborating with distributed teams, and delivering impactful AI solutions.

How do remote data scientists specializing in deep learning typically collaborate with cross-functional teams?

Remote Data Scientists in Deep Learning often work closely with software engineers, product managers, and domain experts through virtual meetings, shared documentation, and version-controlled code repositories. They collaborate on defining project goals, sharing model insights, and integrating machine learning solutions into products. Effective communication and clear documentation are crucial, as team members may be in different time zones or have varying technical backgrounds. Tools like Slack, JIRA, and GitHub are commonly used to streamline collaboration and track progress.

What are popular job titles related to Remote Data Scientist Deep Learning jobs in Salem, OR?

For Remote Data Scientist Deep Learning jobs in Salem, OR, the most frequently searched job titles are:

What job categories do people searching Remote Data Scientist Deep Learning jobs in Salem, OR look for?

The top searched job categories for Remote Data Scientist Deep Learning jobs in Salem, OR are:

Infographic showing various Remote Data Scientist Deep Learning job openings in Salem, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,357 per year, or $59.3 per hour.

Senior AI Software Engineer, Reinforcement Learning

Salem, OR • On-site, Remote

Agility Robotics
51 - 200 employees

$187K - $292K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago


Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers-tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
Agility is a pioneer. Our robot, Digit, is the first to be sold into workplaces across the globe. Our team is differentiated by its expertise in imagining, engineering, and delivering robots with advanced mobility, dexterity, intelligence, and efficiency -- robots specifically designed to work alongside people, in spaces built for people. Every day, we break through engineering challenges and invent new solutions and capabilities that will one day make robots commonplace and approachable. This work is our passion and our responsibility: our mission is to make businesses more productive and people's lives more fulfilling.
Why Join Now
Digit is one of the only humanoid robots deployed in real customer facilities today-at Schaeffler, GXO, Toyota Motor Manufacturing Canada, and Mercado Libre, with 65,000+ hours of real-world operation logged. In June 2026 we announced plans to become the first pure-play humanoid robotics company to trade publicly (ticker AGLT), in a ~$2.5B merger backed by NVIDIA, Amazon, SoftBank Vision Fund 2, and Foxconn. With $300M+ in orders for Digit and a factory built for 10,000 robots a year, we're scaling fast-and the policies you build will ship to robots working alongside people in production, not sit in simulation.
About the Role
The AI Controls team builds high-rate learned controllers that let Digit move robustly, efficiently, and safely in dynamic environments. As an AI Controls Engineer, you'll develop and deploy reinforcement learning policies across humanoid locomotion, whole-body control, and manipulation-integrating perception to enable collision-free, perceptive motion in the real world.
About The Work
  • Design, train, and deploy robust RL policies for locomotion, manipulation, whole body control, and dynamic interactions with the environment.
  • Integrate perception into RL policies to achieve obstacle-aware, collision-free motion, and perceptive manipulation.
  • Develop and maintain core RL infrastructure, including scalable training pipelines and evaluation frameworks.
  • Design and implement new simulation environments and tasks to support training and evaluation of control policies.
  • Collaborate with on-robot software and deployment teams to ship production-quality policies to Digit.

About You
  • 4+ years of experience developing and deploying RL policies for robotics applications.
  • Strong Python skills and hands-on experience with a deep learning framework such as PyTorch.
  • Experience designing reward functions, tuning hyperparameters, and implementing exploration strategies to solve complex control tasks.
  • Experience with perception-in-the-loop control, integrating real-time sensory inputs for reactive or adaptive behaviors.
  • Proven experience deploying reinforcement learning policies on real-world bipedal or quadrupedal robots.
  • Familiarity with robot simulation environments (e.g. Mujoco-Warp, Isaac) and sim-to-real transfer.
  • A collaborative approach and the ability to deliver safe, high-quality software in a fast-paced environment.

Bonus Qualifications
  • Advanced degree (MS or PhD) in Robotics, Computer Science, or a related field.
  • Experience with contact-rich manipulation, including force-torque or tactile sensing.
  • Familiarity with policy distillation (e.g. teacher-student) for transferring state-based policies to perception-driven ones.
  • Publications in top ML or robotics conferences (e.g. NeurIPS, ICML, CoRL, RSS, ICRA).

This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.
The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.
Anticipated Salary Range
$187,000-$292,000 USD
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.