Data Scientist - Computer Vision, Data & Machine Learning (DML) jobs in United States
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Amazon · 22 hours ago

Data Scientist - Computer Vision, Data & Machine Learning (DML)

Amazon Web Services, Inc. is seeking a Data Scientist specializing in Computer Vision and Machine Learning. The role involves developing computer vision models on overhead imagery for government customers, collaborating with a team of data scientists and engineers, and managing the entire machine learning development lifecycle.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

Responsibilities

Run data conversion pipelines to transform customer data into the structure needed by models for training
Perform EDA on the customer data
Train deep neural network models on overhead imagery
Develop and implement hyper-parameter optimization strategies
Test and Evaluate models and analyze results
Package and deliver models to the customer
Incorporate model R&D from low-side researchers
Implement new features to the model development code base
Collaborate with the rest of the team on long term strategy and short-medium term implementation
Contribute to presentations to the customer regarding the team’s work

Qualification

PythonMachine LearningAWS ServicesData Querying LanguagesLinuxPyTorchGit WorkflowsStatistical SoftwareCommunication SkillsTeam Collaboration

Required

3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
Bachelor's degree or above in computer science, machine learning, engineering, or related fields
Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
Current, active US Government Security Clearance of Top Secret or above

Preferred

Master's degree or above in computer science, machine learning, engineering, or related fields
Knowledge of machine learning concepts and their application to reasoning and problem-solving
Experience working on multi-team, cross-disciplinary projects
Experience effectively communicating complex concepts through written and verbal communication
Experience in Linux, PyTorch, and Git workflows for MLOps

Benefits

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

Company

Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

Funding

Current Stage
Public Company
Total Funding
$8.11B
Key Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO

Leadership Team

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Douglas J. Herrington
CEO, Worldwide Amazon Stores
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Werner Vogels
VP & CTO
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Company data provided by crunchbase