Machine Learning Engineer, AWS Lablet in Tübingen

Job summary
AWS is looking for you – a Software Development Engineer passionate about democratizing machine learning (ML) and empowering the world to do more with it.

The AWS Causal Representation Learning Lab is located at the Tübingen site in Germany. Our goal is to develop the next generation of AI algorithms by learning and exploiting causal invariances extracted from non-i.i.d. visual data. Going beyond mere correlations, we quantify the causes of observations and provide robust predictions. Our mission is to provide credible and reliable AI models that do not fail unexpectedly under distribution shifts. The successful applicant will have previous research experience in machine learning.

On-Call Responsibility
This position involves on-call responsibilities. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant.

Mentorship & Career Growth
Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews.
We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Inclusive Team Culture
Our team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Yes we do get to build a really cool service, but we also think a big reason for that is the inclusive and welcoming culture we try to cultivate every day.
We’re looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers; someone who will help us amplify the positive & inclusive team culture we’ve been building.


Key job responsibilities
Every day will bring new and exciting challenges on the job while you:

* use the full AWS technology stack and different programming languages and language ecosystems, such as Python, Kotlin, Go, or other modern languages to build new solutions to solve customer problems
* build new features and maintain existing features in different engagements reaching from production services to open source projects
* insist on highest standards when writing unit tests, integration tests, and end-to-end tests to enable fully automated CI/CD pipelines
* build prototypes for the next service we want to launch in AWS
* talk to potential new customers and to existing customers and invent on their behalf
* collaborate with our scientists and other engineers on hard and cutting-edge scientific problems and find out how these can work with Amazon's massive scale.