Are you interested in building AWS AI services that use computer vision and applied machine learning to develop new external facing services that are solving hard AI problems?
Amazon Rekognition Team within AWS AI is expanding to New York City! ()
We are looking for Software Development Engineers who have the passion to tackle tough problems by bringing cutting edge deep learning technologies to customer facing computer vision products at Amazon Web Services (AWS)!
As a Lead Software Development Engineer on the Amazon Rekognition Team, you will design and develop fast, efficient and highly scalable deep learning algorithms that are applied to challenging deep learning-based image and video recognition problems.
AWS AI/Rekognition APIs enables you to quickly add sophisticated visual search, image classification, face recognition and much more to your applications. You will work with senior scientists and engineers within Amazon AI and develop high quality software that is robust and reliable.
As part of the AWS AI Team, you will get to:
Decide what features to build and performance improvements.
Drive software engineering best practices.
Design distributed and scalable systems.
Provide technical leadership and contribute to the definition, development, integration, test, documentation, and support new AI Services
Instill best practices for software development and documentation, making sure designs meet requirements, and delivering high quality software on tight schedules.
Amazon is an Equal Opportunity Employer - Minority/Women/Disability/Veteran/Gender Identity/Sexual Orientation/Age.
2+ years of non-internship professional software development experience
Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
Bachelor's Degree or above in Computer Science or related field
Strong Computer Science fundamentals, including object-oriented design, data structures, algorithm design, and complexity analysis
Strong problem solving skills
Knowledge of professional software engineering and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Experience building software systems that have been successfully delivered to customers
Master's degree in Computer Science or related field with 2+ years of relevant experience.
Experience with machine learning, deep learning, data mining, and/or statistical analysis tools.
Experience taking projects from scoping requirements through V1 launch and V2 iterations.
Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
Experience with highly distributed systems.
Experience designing high performance software and algorithms for resource constrained IoT and mobile environments.
Proficiency training large scale models in, at least, one modern deep learning engine such as MXNet, Tensorflow, Caffe/Caffe2, Keras, PyTorch/Torch and Theano.
Experience in GPU, FPGA, DSP acceleration and performance tuning.
Experience in production-scale software development with MLDL//AI and computer vision.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.