- $84,860.00 -170,900.00/year*
172 W 104th St
Come and be part of the SageMaker Algorithms team and work on cutting edge machine learning algorithms for the Amazon SageMaker platform!
With Machine Learning, businesses now ask our machines to do more than repetitive, strictly-defined tasks. We are taking it one step further and have begun to ask them to not only learn on their own but to also interpret data and report to the customer before they even knew they needed it. It's a step in history for you to be a part of. You will be building a platform that incorporates best practices and runs advanced algorithms at production scale and reliability.
We are a team of applied scientists and machine learning engineers who experiment, research, and turn machine/deep learning and AI research into great products for our customers.
You will work in a fast-paced environment and do everything from determining priorities, designing features, re-architecting as necessary, automating testing, and mentoring others. The best candidates show true end-to-end ownership. In this role, you will be responsible for building algorithms, tooling, frameworks, and operational processes using technologies like MxNet, Python, C++, CUDA, Docker, etc.
Amazon is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
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.
Familiarity with working with well-known machine learning frameworks and libraries
Enthusiasm for building machine learning algorithms and tools to bring machine learning to the masses
Knowledgeable in Computer Science fundamentals, object-oriented design, data structures, and algorithms.
Strong problem solving skills with an appetite to tackle hard problems
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, multi-tenet systems with clear state-full/state-less boundaries.?
Experience with machine learning, deep learning, data mining, and/or statistical analysis tools.
Proficiency designing SDKs, frameworks, and working with data science frameworks such as Numpy, MxNet, Tensorflow, etc.
Passion and experience for mechanical sympathy and performance engineering - in particular using GPGPUs.
Amazon is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation/ Age
Associated topics: .net, application, backend, c c++, c#, develop, python, sde, software developer, software engineer
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.
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