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Remote Machine Learning Robotics Jobs in Villanova, PA

Additionally, FORT's Safe Remote Control enables operators to manage heavy machinery remotely ... FORT Robotics is hiring an Account Executive to lead sales efforts across the United States. As a ...

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Remote (Preference for Northeast/Mid-Atlantic; monthly travel to Plymouth Meeting, PA as needed ... Develop predictive models, scoring frameworks, and machine learning solutions that enhance business ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

Our team offerings leverage advanced analytics, machine learning algorithms, and technology platforms for a variety of healthcare applications including finding undiagnosed patients with rare ...

Our team offerings leverage advanced analytics, machine learning algorithms, and technology platforms for a variety of healthcare applications including finding undiagnosed patients with rare ...

Our team offerings leverage advanced analytics, machine learning algorithms, and technology platforms for a variety of healthcare applications including finding undiagnosed patients with rare ...

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Remote Machine Learning Robotics information

See Villanova, PA salary details

$29.7K

$58.2K

$90.9K

How much do remote machine learning robotics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote machine learning robotics in Villanova, PA is $58,248.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,800.00 and $68,500.00 per year, depending on experience, location, and employer.

What is a remote machine learning robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

What are the key skills and qualifications needed to thrive as a remote machine learning robotics engineer?

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

What is the difference between Remote Machine Learning Robotics vs Remote Data Scientist?

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

What cities near Villanova, PA are hiring for Remote Machine Learning Robotics jobs?

Cities near Villanova, PA with the most Remote Machine Learning Robotics job openings:

Infographic showing various Remote Machine Learning Robotics job openings in Villanova, PA as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $58,248 per year, or $28 per hour.

Senior Distinguished Scientist, Robotics & Autonomous Discovery

Johnson & Johnson

Spring House, PA • On-site, Remote

$87K - $119K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Johnson & Johnson rating

8.3

Company rating: 8.3 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

25th of 86 rated pharmaceutical


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Remote (US), Spring House, Pennsylvania, United States of America

Job Description:

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine R&D is seeking a Senior Distinguished Scientist, Robotics & Autonomous Discovery to help define, build, and deploy the automation platforms that enable autonomous and AI-enabled drug discovery. The primary location for this role is Spring House, PA. Remote work options in the US may be considered on a case-by-case basis and if approved by the Company. (An internal pre-identified candidate for consideration has been identified. However, all applications will be considered.)

This senior technical leadership role sits at the intersection of robotics, laboratory automation, instrumentation, software integration, artificial intelligence, and discovery science. The successful candidate will serve as a technical authority and hands-on innovation leader for advanced automation systems that accelerate Design-Make-Test-Analyze (DMTA) cycles across small molecule and biologic discovery.

The role is accountable for translating discovery automation priorities into technical architecture, engineering design, proof-of-principle execution, integration standards, and scalable platform implementation. The leader will partner closely with Discovery, In Silico Discovery, data science, engineering, quality, regulatory, EHS, and external innovation partners to deliver reliable, compliant, and operationally ready automation capabilities.

This is an opportunity to shape a new generation of autonomous discovery capabilities at enterprise scale. The leader in this role will help build robotics and automation platforms that improve the speed, quality, reproducibility, and learning velocity of therapeutic discovery. The work will connect physical laboratory systems with advanced computational and AI methods to create more integrated, data-rich, and scalable discovery workflows.

Key Responsibilities

  • Serve as the senior technical authority for design, development, qualification, and deployment of advanced laboratory automation and self-driving laboratory capabilities within Discovery.
  • Architect integrated automation ecosystems spanning robotic liquid handling, high-throughput synthesis and screening instrumentation, automated sample management, inline analytics, software interfaces, and hardware control systems.
  • Integrate agentic AI, machine learning, and closed-loop control strategies with physical automation hardware to enable autonomous experimental execution and iterative DMTA cycle optimization.
  • Own the technical architecture and platform roadmap for robotics and autonomous discovery, including engineering specifications, integration standards, platform sequencing, implementation readiness, and long-term scalability.
  • Lead automation programs from concept and proof-of-principle validation through industrial-scale implementation, ensuring reliability, compliance, serviceability, and operational adoption.
  • Establish and guide proof-of-principle laboratory efforts to de-risk novel automation technologies, validate integration concepts, and accelerate transition into production discovery workflows.
  • Serve as a senior technical evaluator for external technologies, vendors, academic collaborators, and innovation partners to inform build, buy, and partner decisions.
  • Provide expert troubleshooting and technical leadership for complex automation, equipment, process, and system-integration challenges.
  • Mentor multidisciplinary teams across a matrixed organization and foster a culture of technical excellence, innovation, disciplined execution, and delivery accountability.
  • Represent J&J automation innovation capabilities in external scientific forums, industry consortia, publications, patents, and regulatory or technical engagements as appropriate.

Required Qualifications

  • Ph.D. in Engineering, Materials Science, Polymer Science, Pharmaceutical Sciences, Biological Sciences, Robotics, Mechatronics, Computer Engineering, or a closely related discipline.
  • Minimum of 20 years of progressive industrial experience in technology development, automation, engineering, advanced manufacturing, discovery operations, or related fields.
  • Demonstrated track record leading end-to-end development, qualification, commercialization, and deployment of advanced automation systems in industrial, regulated, discovery, biotechnology, pharmaceutical, healthcare, or related environments.
  • Deep expertise in automation hardware design and integration, including robotic platforms, precision motion systems, mechatronic design, sensor and actuator integration, instrumentation, and system controls.
  • Experience translating scientific and engineering principles into robust, scalable, deployable automation platforms.
  • Proven ability to lead large, matrixed, cross-functional teams through complex, multi-year technology programs with significant organizational impact.
  • Experience with equipment design controls, lifecycle management, process validation, system qualification, or equivalent regulated technology-development practices.
  • Demonstrated ability to own technical architecture, platform roadmaps, integration standards, and implementation sequencing aligned with enterprise priorities.
  • Strong communication and influencing skills with the ability to engage effectively with scientists, engineers, data scientists, external partners, and executive stakeholders.

Preferred Qualifications

  • Experience designing or deploying automation systems in life sciences, biotechnology, pharmaceutical R&D, drug discovery operations, or advanced laboratory environments.
  • Familiarity with self-driving laboratory principles, autonomous experimentation, DMTA cycle optimization, and closed-loop learning systems.
  • Understanding of AI, machine learning, agent-based systems, or autonomous optimization as applied to laboratory automation and scientific workflows.
  • Knowledge of small molecule and/or biologic discovery workflows, including high-throughput experimentation, screening, synthesis, sample logistics, and analytical characterization.
  • Experience with intellectual property development, including invention disclosures, patents, publications, or external scientific representation.
  • Experience with additive manufacturing, digital engineering, advanced manufacturing, or rapid prototyping technologies that enable automation innovation.

The primary location for this role is Spring House, PA. Remote work options in the US may be considered on a case-by-case basis and if approved by the Company. (An internal pre-identified candidate for consideration has been identified. However, all applications will be considered.)

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are under 18 years of age, you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment, as well as get a parent's consent for the background check.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us viahttps://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is $196,000 to $342,700. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).

Employees are eligible for the following time off benefits:
Vacation - up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year
Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year
Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

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Required Skills:

Preferred Skills:

Advanced Analytics, Critical Thinking, Cross-Functional Collaboration, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Design Mindset, Digital Fluency, Interpersonal Influence, Program Management, Strategic Thinking, Technical Credibility

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