Software Development Engineer – SageMaker Machine Learning Algorithms

New York, New York, USA

Full Time
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Posted 2 weeks ago

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

Basic Qualifications


· 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.

Preferred Qualifications

· 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




Job tags: AI Data Mining Deep Learning Engineering Java Machine Learning MXNet NumPy Python Research TensorFlow