Amazon
1 day ago
Machine Learning Engineer II, Special Projects
US, WA, Seattle
Job Description
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the limits. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you.
As a Machine Learning Engineer on our team, you will leverage your deep technical expertise to build reliable, scalable, and highly performant AI systems. You will collaborate closely with Applied Scientists on modeling experiments and prototypes. We’re looking for someone who wants to can make a positive impact on humanity, has a track record of innovating and building successfully, and loves solving hard problems!
Key job responsibilities
The ideal candidate for this role has a demonstrable track record of delivering successfully in a hyper-growth ML/AI environment by leveraging their deep technical expertise and adapting deftly to rapidly evolving priorities.
In this role, you will:
- Development and maintain key platforms needed for building, evaluating and deploying models for real-world applications.
- Design and implement scalable data processing pipelines and infrastructure to support ML model training workflows
- Develop tools for data preprocessing, feature engineering, and efficient resource utilization for large-scale AI training jobs
- Create monitoring systems, debugging tools, and performance optimization solutions for ML infrastructure
- Collaborate with AI/ML engineers to integrate ML frameworks with production systems and implement version control for both code and model artifacts
- Learn state of the art technologies and algorithms in the field of Generative AI to participate in our journey to build the best models.
A day in the life
Our main data consumers and producers are science teams. You will work closely with scientists from various domains to clarify requirements, design new systems, upgrade existing services and provide operational support to mitigate issues. You work will largely comprise of working with data services and pipelines.
About the team
We represent Amazon's ambitious vision to solve the world's most pressing challenges. We operate with the agility of a startup while backed by Amazon's resources and operational excellence. We're looking for builders who are excited about working on ambitious, undefined problems and are comfortable with ambiguity. Our team is for engineers who enjoy teamwork, cross-functional collaboration and building new things. You need to be a fast learner able to independently disambiguate requirements and deliver value to customers. We are offering fast-pace, Agile environment with little bureaucracy and small operational load.
As a Machine Learning Engineer on our team, you will leverage your deep technical expertise to build reliable, scalable, and highly performant AI systems. You will collaborate closely with Applied Scientists on modeling experiments and prototypes. We’re looking for someone who wants to can make a positive impact on humanity, has a track record of innovating and building successfully, and loves solving hard problems!
Key job responsibilities
The ideal candidate for this role has a demonstrable track record of delivering successfully in a hyper-growth ML/AI environment by leveraging their deep technical expertise and adapting deftly to rapidly evolving priorities.
In this role, you will:
- Development and maintain key platforms needed for building, evaluating and deploying models for real-world applications.
- Design and implement scalable data processing pipelines and infrastructure to support ML model training workflows
- Develop tools for data preprocessing, feature engineering, and efficient resource utilization for large-scale AI training jobs
- Create monitoring systems, debugging tools, and performance optimization solutions for ML infrastructure
- Collaborate with AI/ML engineers to integrate ML frameworks with production systems and implement version control for both code and model artifacts
- Learn state of the art technologies and algorithms in the field of Generative AI to participate in our journey to build the best models.
A day in the life
Our main data consumers and producers are science teams. You will work closely with scientists from various domains to clarify requirements, design new systems, upgrade existing services and provide operational support to mitigate issues. You work will largely comprise of working with data services and pipelines.
About the team
We represent Amazon's ambitious vision to solve the world's most pressing challenges. We operate with the agility of a startup while backed by Amazon's resources and operational excellence. We're looking for builders who are excited about working on ambitious, undefined problems and are comfortable with ambiguity. Our team is for engineers who enjoy teamwork, cross-functional collaboration and building new things. You need to be a fast learner able to independently disambiguate requirements and deliver value to customers. We are offering fast-pace, Agile environment with little bureaucracy and small operational load.
Amazon
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