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Full Time Ai Robotics Jobs (NOW HIRING)

Agility Robotics

Staff AI Research Engineer

Salem, OR · On-site +1

$216K - $338K/yr

Drive alignment across AI Research and Robotics teams on methods, evaluation, and deployment ... for full-time employees: * 401(k) Plan: Includes a 6% company match. * Equity: Company stock ...

Figure

Humanoid Robot Pilot (Swing Shift)

San Jose, CA · On-site

$35 - $40/hr

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of ... full-time position is between $35-$40/hr . The pay offered for this position may vary based on ...

Scout AI

AI Engineer - Fury Team

Sunnyvale, CA · On-site

At Scout AI, we're developing Fury, the first robotic foundation model for defense, to give U.S ... Most full-time positions also include highly competitive equity awards, which form part of Scout AI ...

RoboForce

AI Resident

Milpitas, CA · On-site

$10K/mo

Why RoboForce RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for ... months, full-time Compensation: * $10,000 monthly salary Benefits: * Company-provided lunch and ...

Phsorg

$77K - $118K/yr

Type of Opportunity: Full time Job Exempt: Yes Job is based: Reverend Hugh Cooper Administrative ... Evaluate incoming requests to identify opportunities for AI, RPA, and automation. Assess ...

Figure

Helix AI Engineer, Perception

San Jose, CA · On-site

$200K - $350K/yr

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure ... The US base salary range for this full-time position is between $200,000 - $350,000 The pay offered ...

Figure

Robot Service Technician (Night Shift)

San Jose, CA · On-site

$35 - $65/hr

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of ... IPC 610, 620 or J-Std-001 The US base salary range for this full-time position is between $35 - $65 ...

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Full Time Ai Robotics information

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How much do full time ai robotics jobs pay per year?

As of Jul 4, 2026, the average yearly pay for full time ai robotics in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Ai Robotics vs Full Time Machine Learning Engineer?

AspectFull Time Ai RoboticsFull Time Machine Learning Engineer
Required CredentialsBachelor's or higher in Robotics, AI, or related fields; experience with robotics hardware and softwareBachelor's or higher in Computer Science, AI, or related fields; strong programming and statistical skills
Work EnvironmentHands-on with robotics hardware, sensors, and embedded systems in labs or manufacturing settingsSoftware development, data analysis, and model training primarily in office or remote settings
Employer & Industry UsageManufacturers, research labs, tech companies developing autonomous systemsTech firms, startups, research institutions focusing on AI and data-driven solutions

Full Time Ai Robotics roles focus on integrating AI with robotics hardware, requiring knowledge of both software and physical systems. In contrast, Full Time Machine Learning Engineers primarily develop algorithms and models in software environments. While both roles involve AI, Ai Robotics emphasizes hardware interaction, whereas Machine Learning Engineers concentrate on data and software modeling.

What are some common challenges faced by professionals in full-time AI robotics roles, and how can they be addressed?

Professionals in full-time AI robotics positions often encounter challenges such as integrating AI algorithms with complex hardware systems, ensuring real-time data processing, and maintaining effective collaboration between multidisciplinary teams (software engineers, mechanical engineers, and data scientists). Addressing these challenges typically requires strong communication skills, a thorough understanding of both robotics hardware and AI software, and continuous learning to keep up with rapid technological advancements. Regular cross-functional meetings and hands-on prototyping sessions can also help streamline problem-solving and accelerate project timelines.

What are the key skills and qualifications needed to thrive as a Full Time AI Robotics Engineer, and why are they important?

To thrive as a Full Time AI Robotics Engineer, you need a strong background in computer science, robotics, machine learning, and engineering, often supported by a relevant degree such as in electrical engineering, computer science, or robotics. Familiarity with programming languages like Python or C++, robotics platforms such as ROS (Robot Operating System), and experience with AI frameworks like TensorFlow or PyTorch are typically required. Problem-solving ability, creativity, and effective teamwork are crucial soft skills in this field. These competencies enable the design, implementation, and optimization of intelligent robotic systems that function reliably in real-world environments.

What is a Full Time AI Robotics job?

A Full Time AI Robotics job involves working as a professional who designs, develops, and maintains robotic systems powered by artificial intelligence. These roles typically require expertise in programming, machine learning, robotics engineering, and sometimes hardware integration. Full-time AI Robotics professionals work on projects like autonomous vehicles, industrial automation, healthcare robots, or research and development. They often collaborate with interdisciplinary teams to build intelligent machines that can perceive, learn, and act in complex environments. The position usually offers a standard workweek and full employee benefits.
More about Full Time Ai Robotics jobs
What cities are hiring for Full Time Ai Robotics jobs? Cities with the most Full Time Ai Robotics job openings:
What are the most commonly searched types of Ai Robotics jobs? The most popular types of Ai Robotics jobs are:
What states have the most Full Time Ai Robotics jobs? States with the most job openings for Full Time Ai Robotics jobs include:
What job categories do people searching Full Time Ai Robotics jobs look for? The top searched job categories for Full Time Ai Robotics jobs are:
Full Time Ai Robotics jobs near you
Infographic showing various Full Time Ai Robotics job openings in the United States as of June 2026, with employment types broken down into 73% Full Time, and 27% Part Time. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.
Staff AI Research Engineer

Staff AI Research Engineer

Agility Robotics

Salem, OR • On-site, Remote

$216K - $338K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 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.
About The Role
The AI innovation team at Agility works on building and deploying next-generation robot foundation models and end-to-end policies on humanoid robots. Your goal will be to develop and test cutting-edge methods for imitation learning and reinforcement learning on humanoid robots, in order to establish the techniques necessary for humanoid robots to perform different real-world tasks. In addition to driving research direction, you will play a key role in shaping the technical roadmap for robot learning at Agility and leveling up a growing team of junior AI research engineers by providing mentorship, guiding project execution, and establishing strong research and engineering practices.
About the Work
  • Establish team-level standards for research execution, including experiment tracking, evaluation protocols, and model benchmarking.
  • Mentor and guide junior AI research engineers through project design, experiment execution, and technical problem solving.
  • Drive alignment across AI Research and Robotics teams on methods, evaluation, and deployment readiness for learned policies.
  • Review experimental design, code, and results to ensure rigor, reproducibility, and alignment with research goals.
  • Help onboard new researchers and accelerate their effectiveness in robot learning and experimental workflows.
  • Design, train, and deploy robust policies for locomotion, manipulation, and dynamic interactions with the environment.
  • Develop core reinforcement learning infrastructure, including scalable training pipelines and evaluation frameworks.
  • Design and implement new simulation environments and tasks to support training and deployment of control policies.
  • Develop, design, and test imitation learning methods.
  • Collaborate with Robotics Software and AI engineering teams to develop policies which can be transferred to production.
About You
  • 7+ years of total experience in software engineering and/or AI/robotics.
  • 3+ years of hands-on experience developing and deploying learning-from-demonstration, reinforcement learning, imitation learning, foundation models, or related robot learning systems in real-world or simulated robotics environments
  • Proven ability to mentor and develop junior engineers or researchers, raising the technical bar of a team.
  • Track record of leading complex technical initiatives and influencing technical direction from research through deployment.
  • Strong ability to translate ambiguous research problems into structured, executable work for a team.
  • Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.
  • Experience with modern learning-from-demonstration tools such as DiffusionPolicy.
  • Experience with robot data collection, training, and testing on hardware for manipulation tasks.
  • MS in Robotics, Computer Science, or a related field.
Bonus Points
  • PhD in Robotics, Computer Science, or a related field.
  • Publications in top ML or robotics conferences (e.g. NeurIPS, ICML, CoRL, RSS, ICRA).
  • Familiarity with robot simulation environments (e.g. Mujoco, Isaac Sim) and sim-to-real transfer techniques.
  • Experience with modern reinforcement learning techniques for locomotion, manipulation, and whole-body control
  • Experience with writing performant, high quality software in C++

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
$216,000-$338,000 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.
Apply Now: https://grnh.se/b444bbd04us

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