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Manipulation Jobs (NOW HIRING)

Manipulation Robotics Embedded SDE

North Reading, MA ยท On-site

$136K - $180K/yr

Join the brightest minds in robotics developing the next generation of manipulation robots. This fast-moving team is creating a game changing new product for accelerating robotics. it has a strong ...

Join the brightest minds in robotics developing the next generation of manipulation robots. This fast-moving team is creating a game changing new product for accelerating robotics. it has a strong ...

Manipulation Robotics Embedded SDE

Reading, MA ยท On-site

$138K - $182K/yr

Join the brightest minds in robotics developing the next generation of manipulation robots! This fast-moving team is creating a game changing new product for accelerating robotics. it has a strong ...

Showing results 41-60

Manipulation information

See salary details

$19.5K

$88.4K

$173.5K

How much do manipulation jobs pay per year?

As of Aug 8, 2026, the average yearly pay for manipulation in the United States is $88,448.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,500.00 and $151,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in industrial materials manipulation roles, and how can they overcome them?

Professionals in industrial materials manipulation, such as machinists or materials handlers, often encounter challenges like maintaining precision during repetitive tasks, ensuring safety while handling heavy equipment, and adapting to new technologies or automation. Overcoming these challenges typically involves ongoing training, adherence to strict safety protocols, and collaboration with engineers and quality control teams. Staying current with industry standards and embracing continuous improvement practices can also help professionals excel in these roles.

What are the key skills and qualifications needed to thrive as a manipulation specialist?

To excel as a Manipulation Specialist (e.g., Manual Therapist or Physical Manipulation Practitioner), you need a deep understanding of human anatomy, musculoskeletal assessment, and hands-on therapy techniques, typically supported by a relevant health science degree and licensure. Mastery of tools such as goniometers, therapeutic ultrasound, and patient management systems is often required, along with certifications like Certified Manual Therapist (CMT). Excellent interpersonal skills, empathy, and clear communication help build trust with patients and facilitate effective treatment plans. These skills ensure safe, effective care and optimal recovery outcomes for patients seeking physical rehabilitation.

What is the difference between Manipulation vs Massage Therapist?

AspectManipulationMassage Therapist
CredentialsOften requires certification in chiropractic or physical therapy techniquesRequires massage therapy certification or license
Work EnvironmentClinics, chiropractic offices, physical therapy centersSpas, wellness centers, clinics
Industry UsageUsed in healthcare for joint and soft tissue treatmentUsed in wellness and relaxation services
Common Search IntentUnderstanding therapeutic joint or soft tissue manipulationSeeking relaxation or therapeutic massage services

Manipulation involves specific techniques to adjust joints or soft tissues, often performed by licensed healthcare professionals. Massage therapists focus on soft tissue manipulation to promote relaxation and healing. While both involve manual techniques, their credentials, settings, and purposes differ significantly.

What is a manipulation job?

Manipulation jobs typically refer to roles that involve handling, moving, or altering objects, materials, or data. These jobs can be found in various industries such as manufacturing, logistics, laboratory research, and robotics, where precise physical or digital manipulation is required. The tasks may include assembling products, operating machinery, adjusting settings, or processing information. The specific skills and tools required depend on the industry and the nature of the items or data being manipulated.
More about Manipulation jobs
Infographic showing various Manipulation job openings in the United States as of August 2026, with employment types broken down into 64% Full Time, 23% Part Time, and 13% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $88,448 per year, or $42.5 per hour.

Machine Learning Engineer - Robot Manipulation

Maven Robotics

San Francisco, CA โ€ข On-site

Full-time

Re-posted 7 days ago


Job description

Company Overview
Maven Robotics is building the world's leading general-purpose AI robots.
We are currently operating in stealth and are growing the world's best team in AI robotics. We are looking for self-starters that are the world's best in their field, who can innovate from a deep understanding of the fundamentals, and who share our values of unwavering truth seeking and integrity, humility, curiosity, and relentless determination.
Role Description
We are looking to recruit an exceptional Machine Learning Engineer - Robot Manipulation to design, implement, test, and deploy robot manipulation algorithms that enable assembly and material movement tasks.
In this role you will:
  • Design and implement machine learning algorithms, with a focus on reinforcement learning (RL) and imitation learning (IL), to enable robotic manipulators to perform complex tasks in dynamic environments.
  • Translate high-level objectives into machine learning problems and deploy robust, scalable models to real-world robotic systems.
  • Integrate your ML solutions into existing robotics workflows, ensuring that models are performant in both simulated and real-world settings.
  • Drive innovation by incorporating the latest research in machine learning into practical applications that push the boundaries of robotic manipulation.
  • Take ownership of critical ML projects, seeing them through from conception to successful deployment.
  • Collaborate across disciplines to ensure seamless integration of ML models and provide technical mentorship to junior engineers.
Qualifications
Must-have:
  • MS or PhD in machine learning, computer science, robotics, or a related field.
  • Strong practical experience in training and deploying machine learning models for real-world applications.
  • Deep understanding of reinforcement learning (RL) and imitation learning (IL) and their application to robotics.
  • Proficiency in programming languages and tools commonly used in machine learning (e.g., Python, PyTorch).
  • Experience with data collection, preprocessing, and management in the context of training ML models.
  • Self-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions.
  • Enthusiasm for working in a fast paced startup environment and eagerness to support the team on a variety of topics.

Nice-to-have:
  • Familiarity with robotic simulation environments (e.g., Gazebo, MuJoCo) and experience in sim-to-real transfer.
  • Experience in:
    • Designing and implementing reward functions for complex manipulation tasks.
    • Developing models that can handle noisy, incomplete, or sparse data.
    • Deployment of ML models to edge devices for real-time inference.
    • Accelerating ML training processes using GPU, TPU, or other HW accelerators.
    • Using reinforcement learning frameworks, e.g. Stable Baselines, RLlib, or similar.
  • General knowledge of robotics principles, including kinematics, dynamics, and control.
  • Publications or contributions to the machine learning community, particularly in areas related to robotics or reinforcement learning.