Applied Scientist II, AR Sortation
Applied Scientist II, AR Sortation
Posted on :
05-07-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
05-07-2025
Job Description
Are you inspired by invention Is problem-solving through teamwork in your DNA Do you like the idea of seeing how your work impacts the bigger picture
If you answered yes to any of these questions youll fit right in at Amazon Robotics.
We are a smart team of doers who work passionately to apply innovative advances in robotics and software to solve real-world challenges that transform our customers experiences. We invent new improvements every day and we provide the tools and support you need to invent with us in ways that are rewarding fulfilling and fun.
As a Applied Scientist II with a focus on Machine Learning in the AR Sortation Planning team you will play a foundational role in establishing and growing our ML practice to power intelligent robotic workcells. You will design and deploy ML models that optimize sortation efficiency enhance safety and ergonomics and enable adaptive decision-making in robotic workflows. Youll collaborate with robotics controls and simulation teams to integrate perception and prediction models into both real-world and simulated systems. Your work will directly impact how our robotic systems operate at scaledelivering measurable improvements in performance safety and associate satisfaction.
Key job responsibilities
- Apply analytical and statistical techniques to create scalable solutions for complex business problems.
- Analyze and extract relevant information from large datasets to automate and optimize key operational processes.
- Design develop and evaluate machine learning models and algorithms.
- Establish scalable efficient and automated pipelines for large-scale data analysis model development validation and deployment.
- Research and implement novel machine learning and statistical methods.
- Collaborate closely with softwaresolutions and data engineering teams to integrate successful models into production systems at scale.
- Provide technical leadership and mentorship to other scientists on the team.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular full-time employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
About the team
We have a talented innovative and diverse team that works on innovative software driving human and robotic workflows UI interfaces AWS services at middle-mile Sortation centers within the Amazon Transportation Services network. We build algorithms to optimize sortation rates improve safety and ergonomics delight our associates build simulations for our new robotic solutions all while operating at Amazon scale.
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- 5 years of professional experience in software engineering or applied ML.
- Strong programming skills in Python and/or Java and proficiency with ML libraries such as PyTorch TensorFlow or Scikit-learn.
- Solid understanding of machine learning algorithms model evaluation and data-driven optimization.
- Experience building and deploying ML models in production environments.
- Comfort working in a fast-paced high-impact team environment with end-to-end ownership.
- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
If you answered yes to any of these questions youll fit right in at Amazon Robotics.
We are a smart team of doers who work passionately to apply innovative advances in robotics and software to solve real-world challenges that transform our customers experiences. We invent new improvements every day and we provide the tools and support you need to invent with us in ways that are rewarding fulfilling and fun.
As a Applied Scientist II with a focus on Machine Learning in the AR Sortation Planning team you will play a foundational role in establishing and growing our ML practice to power intelligent robotic workcells. You will design and deploy ML models that optimize sortation efficiency enhance safety and ergonomics and enable adaptive decision-making in robotic workflows. Youll collaborate with robotics controls and simulation teams to integrate perception and prediction models into both real-world and simulated systems. Your work will directly impact how our robotic systems operate at scaledelivering measurable improvements in performance safety and associate satisfaction.
Key job responsibilities
- Apply analytical and statistical techniques to create scalable solutions for complex business problems.
- Analyze and extract relevant information from large datasets to automate and optimize key operational processes.
- Design develop and evaluate machine learning models and algorithms.
- Establish scalable efficient and automated pipelines for large-scale data analysis model development validation and deployment.
- Research and implement novel machine learning and statistical methods.
- Collaborate closely with softwaresolutions and data engineering teams to integrate successful models into production systems at scale.
- Provide technical leadership and mentorship to other scientists on the team.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular full-time employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
About the team
We have a talented innovative and diverse team that works on innovative software driving human and robotic workflows UI interfaces AWS services at middle-mile Sortation centers within the Amazon Transportation Services network. We build algorithms to optimize sortation rates improve safety and ergonomics delight our associates build simulations for our new robotic solutions all while operating at Amazon scale.
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- 5 years of professional experience in software engineering or applied ML.
- Strong programming skills in Python and/or Java and proficiency with ML libraries such as PyTorch TensorFlow or Scikit-learn.
- Solid understanding of machine learning algorithms model evaluation and data-driven optimization.
- Experience building and deploying ML models in production environments.
- Comfort working in a fast-paced high-impact team environment with end-to-end ownership.
- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
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