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Applied Science Management Jobs (NOW HIRING)

As an Applied Science Manager in the Foundation Model team, you will build and lead a team that ... Basic Qualifications * 3+ years of scientists or machine learning engineers management experience

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We are seeking an Applied Science Manager to lead a new business unit on the GameLift team focused ... management while maintaining a high hiring bar Drive end-to-end AI deployment from research ...

We are seeking an Applied Science Manager to lead a new business unit on the GameLift team focused ... management while maintaining a high hiring bar Drive end-to-end AI deployment from research ...

We are seeking an Applied Science Manager to lead a new business unit on the GameLift team focused ... BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience ...

The Role As an Applied Science Manager, you will lead a high-caliber team of scientists and ... Team Management & Delivery: Build and scale a world-class science team by mentoring talent and ...

As an Applied Science Manager in the Foundation Model team, you will build and lead a team that develops and improves machine learning systems that help robots perceive, reason, and act in real-world ...

As an Applied Science Manager in the Foundation Model team, you will build and lead a team that develops and improves machine learning systems that help robots perceive, reason, and act in real-world ...

The Role As an Applied Science Manager, you will lead a high-caliber team of scientists and ... Team Management & Delivery: Build and scale a world-class science team by mentoring talent and ...

The Role As an Applied Science Manager, you will lead a high-caliber team of scientists and ... Team Management & Delivery: Build and scale a world-class science team by mentoring talent and ...

As an Applied Science Manager in the Foundation Model team, you will build and lead a team that ... BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience ...

You'll manage a team of applied scientists, clinical researchers, and product managers, and will work closely with data and ML Ops engineering. The closest analog outside healthcare is the head of a ...

Applied Science Manager, Stores-Ads Science

Seattle, WA ยท On-site

$43K - $59K/yr

BASIC QUALIFICATIONS - 4+ years of applied research experience - 3+ years of scientists or machine learning engineers management experience - 3+ years of building machine learning models for business ...

You'll manage a team of applied scientists, clinical researchers, and product managers, and will work closely with data and ML Ops engineering. The closest analog outside healthcare is the head of a ...

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Applied Science Management information

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$48.4K

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How much do applied science management jobs pay per year?

As of Sep 14, 2026, the average yearly pay for applied science management in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

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For Applied Science Management jobs, the most frequently searched job titles are:

Infographic showing various Applied Science Management job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $48,391 per year, or $23.3 per hour.

Applied Science Manager

North Reading, MA โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


Job description

Description
robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models.

At Amazon Industrial Robotics we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence.

We are pioneering the development of robotics foundation models that:

  • Enable unprecedented generalization across diverse tasks
  • Enable unprecedented robustness and reliability, industry-ready
  • Integrate multi-modal learning capabilities (visual, tactile, linguistic)
  • Accelerate skill acquisition through demonstration learning
  • Enhance robotic perception and environmental understanding
  • Streamline development processes through reusable capabilities

The ideal candidate will contribute to research that bridges the gap between theoretical advancement and practical implementation in robotics. You will be part of a team that's revolutionizing how robots learn, adapt, and interact with their environment.

Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration.

As an Applied Science Manager in the Foundation Model team, you will build and lead a team that develops and improves machine learning systems that help robots perceive, reason, and act in real-world environments. You will set the technical direction for leveraging state-of-the-art models (open source and internal research), evaluating them on representative tasks, and adapt/optimizing them to meet robustness, safety, and performance needs. You will drive the capability roadmap and the evaluation strategy that defines โ€œwhat the robot brain can do,โ€ and you will sponsor targeted innovation when gaps remain. Youโ€™ll collaborate closely with research, controls, hardware, and product teams, and ensure the teamโ€™s outputs can be further customized and deployed by downstream teams on specific robot embodiments.

Basic Qualifications
  • 3+ years of scientists or machine learning engineers management experience
  • Knowledge of ML, NLP, Information Retrieval and Analytics
Preferred Qualifications
  • Experience building machine learning models or developing algorithms for business application
  • Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region youโ€™re applying in isnโ€™t listed, please contact your Recruiting Partner.

Amazon also offers comprehensive benefits including

  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.

USA, MA, North Reading - 183,800.00 - 248,700.00 USD annually

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