Amazon.com Services LLC

Applied Science, subsidiaries

AppliedScientist,MobileManipulationRobotics(I/O)

$80–193k North Reading, Massachusetts, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Applied Scientist, Mobile Manipulation Robotics (I/O) at Amazon.com Services LLC. Skills: Mobile manipulation, Machine learning, Robotics. Design model architectures. Implement model architectures”

Industry & Context.

Applied Science, subsidiaries
Problems you'll solve

Problem solving

What They're Looking For.

Must Have

3+ years building models, PhD or Master's degree, 4+ years CS, CE, ML experience, Experience in patents or publications, Programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel computing, Experience in distributed computing, Experience in high-performance computing

Nice to Have

Unix/Linux experience, Professional software development experience

What You'll Do.

Design model architectures

Implement model architectures

Optimize model performance

Process training data

Prepare training data

Perform data governance

Track data provenance

Perform data quality checks

Create data pipelines

Validate model performance

Create baseline performance

Improve model performance

Write maintainable code

Write well-commented code

Write documented code

Contribute to training infrastructure

Create tools for evaluation

Create tools for testing

Implement necessary APIs

Stay current with research

Assist in literature reviews

Prepare technical reports

Prepare presentations

Contribute to research discussions

Contribute to brainstorming sessions

Work closely with scientists

Work closely with engineers

Work closely with leaders

Participate in knowledge sharing

Support integration efforts

Document best practices

Document methodologies

How You'll Work.

Team & Collaboration

Senior scientists; Engineers; Leaders; Robotics hardware teams

Communication Scope

Technical reports; Presentations

Full Job Description

Amazon Robotics is transforming warehouse automation through edge AI and machine learning applied to real-world robotics challenges. We're seeking a Applied Scientist to advance our mobile manipulation capabilities by developing learning-based approaches that enable robots to navigate and manipulate objects in dynamic fulfillment environments. This role offers the opportunity to apply state-of-the-art research to production systems operating at Amazon's unprecedented scale. Key job responsibilities - Model Development and Training: Designing and implementing the model architectures, training and fine tuning the models using various datasets, and optimize the model performance through iterative experiments - Data Management: Process and prepare training data, including data governance, provenance tracking, data quality checks and creating reusable data pipelines. - Experimentation and Validation: Design and execute experiments to test model capabilities on the simulator and on the embodiment, validate performance across different scenarios, create a baseline and iteratively improve model performance. - Code Development: Write clean, maintainable, well commented and documented code, contribute to training infrastructure, create tools for model evaluation and testing, and implement necessary APIs - Research: Stay current with latest developments in foundation models and robotics, assist in literature reviews and research documentation, prepare technical reports and presentations, and contribute to research discussions and brainstorming sessions. - Collaboration: Work closely with senior scientists, engineers, and leaders across multiple teams, participate in knowledge sharing, support integration efforts with robotics hardware teams, and help document best practices and methodologies. 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 n

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