Machine Learning Engineer II, AWS AI/ML Services

  • Amazon,
  • Santa Clara, CA
  • 11 hours ago
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Full Time

Job Description


Job summary
Interested in Machine Learning (ML) and Artificial Intelligence (AI)? Our team's mission is to make machine learning easy, stronger, and universal across data driven products and businesses. Our vision is to bring the best of humans and ML/AI algorithms to improve the entire machine learning model development lifecycle (the loop). We specialize in developing managed Human-in-loop ML/AI services (HIL) such as SageMaker Ground Truth for model training, Amazon Augmented AI for model inference, and Mechanical Turk for crowd intelligence. Our strategy is to bring the best of ML based automation to tasks such as ground truth generation via active learning and online learning approaches. Similarly, we provide powerful (human+machine) solutions for improving the efficiency of human processes via Augmented Artificial Intelligence.

We are seeking an experienced machine learning engineer for the Human-in-loop ML/AI Services team. This is a role that combines science leadership, organizational ability, technical strength, product focus and business understanding. It will be your job to prototype and scale ML models and systems for training and inference for human-in-loop problems and work closely with the engineering team to ship them to our customers. You are also expected to advise the HIL leadership team, mentor engineers on the HIL Science team, and be a role model for Amazon Leadership Principles.

Strong technical skill and experience with machine learning systems is required. Our customers are strongly technical and the solutions we build for them are strongly coupled to technical feasibility.

If you are ready for the challenge, come and help us design the future.

This opportunity requires excellent technical, problem-solving, and communication skills. Ideal candidates have experience with agile methodologies of development, have a high team work mentality coupled with a strong bias for action yet always insisting on highest standards. That said, everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that feels more like a startup than a big company.


  • 1+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems.
  • 2+ years of non-internship professional software development experience
  • Programming experience with at least one software programming language.

  • Programming experience with at least one modern language such as Python, Typescript/Javascript, Java, C++, or C# including object-oriented design
  • Bachelor's degree in Computer Science, Electrical Engineering, or related disciplines (Master's for scientists)
  • 4+ years of professional software development experience
  • 3+ years of programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
  • 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
  • Coding proficiency in at least one modern deep learning framework (PyTorch, Tensorflow, MXNet)
  • Current knowledge of deep learning concepts (e.g. transformer models, data parallelism, model parallelism, etc.)


  • Master or PhD's degree in Computer Science, Electrical Engineering or related disciplines.
  • Experience with hardware accelerators (e.g. GPU)
  • Experience with AWS services, and large-scale data processing frameworks like Spark etc.
  • Work experience in software engineering, machine learning or similar
  • Proven experience with machine learning and deep learning
• Experienced in optimizing deep learning training and inference

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. For individuals with disabilities who would like to request an accommodation, please visit

Company Information

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

Dice Id : amazon15
Position Id : 2133736
Originally Posted : 3 months ago

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