Machine Learning Scientist, Syne Tune in Berlin bei Amazon Development Center Germany GmbH

Amazon Development Center Germany GmbH

• PhD degree with specialization machine learning/deep learning, algorithms, mathematics, and related fields.
• Experience with machine learning/deep learning frameworks (TensorFlow, PyTorch, MXNet) and related libraries.
• 3+ years of professional experience in the field.
• Experience working effectively with software engineering teams.
• Excellent written and verbal communication skills.
• Strong publication record at top conferences(NeurIPS, ICML, ICLR, AISTATS) or journals like JMLR.

We are looking for a Senior Applied Scientist who is passionate about building services and tools for developers that leverage artificial intelligence and machine learning. You will be part of a team building Large Language Model (LLM)-based services with the focus on enhancing the developer experience in the Cloud. The team works in close collaboration with other AWS services such as AWS Cloud9, the AWS IDE Toolkit and AWS Bedrock. If you are excited about working in cloud computing and building new AWS services, then we'd love to talk to you.

As a Senior Machine Learning Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.

You take a long-term view of the business objectives, product roadmaps, technologies, and how they should evolve. You drive mindful discussions with customers, engineers, and scientist peers. You bring perspective and provide context for current technology choices, and make recommendations on the right modeling and component design approach to achieve the desired customer experience and business outcome.

Key job responsibilities

• Research and implement novel approaches in the area of active learning, meta-learning, continual learning, automatic machine learning and/or Bayesian decision making.
• Understand the challenges that developers face when building software today, and develop generalizable solutions.
• Collaborate with developers and pave the way towards bringing your solution into production systems. Lead cross team projects and ensure technical blockers are resolved
• Communicate and document your research via publishing papers in external scientific venues.

A day in the life
Work/Life Harmony: Our team gives high value to work-life harmony. Since the Covid19 pandemic we adjusted to remote work and since then have established a hybrid work environment in which team members spend 3 days working in the office.

Mentorship & Career Growth: We're committed to the growth and development of every member of the team. As a Senior Applied Scientist you will play a vital part in growing your peers. You will have the opportunity to contribute to the culture and direction and deliver site-wide initiatives that will improve the life of all of our teams.

About the team
You will work on the Amazon Web Services (AWS) Next Gen Dev Experience (NGDE) team where we use generative AI and foundation models to reimagine the experience of builders on AWS.

You will work closely with Flock, an internal developer toolkit for AWS teams building and operating generative AI features on top of AWS Bedrock. Flock components embed our latest learnings and best practices on how to leverage large LLMs so that AWS teams can build new generative AI features faster, more securely, and with higher quality.

We are open to hiring candidates to work out of one of the following locations:

Berlin, BE, DEU

• Experience in AutoML: hyperparameter optimization, meta learning, automated decision making.
• Experience in modeling natural text with transformer networks, specifically large language models.
• Excellent written and verbal communication skills.
• 5+ years of professional experience in the field.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

m/w/d