Senior Applied Scientist, ML Solutions Lab

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Job summary

Machine Learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.

The ML Solutions Lab team within AWS provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and the cloud. As a ML Applied Scientist, you'll partner with technology and business teams to build solutions that surprise and delight our customers. You will be working with terabytes of text, images, and other types of data to solve real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. You will apply classical ML algorithms and cutting-edge Deep Learning (DL) and Reinforcement Learning approaches to areas such as drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization, call center analytics, player pose estimation, event detection, and virtual assistant among others.

We are looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help develop solutions by pushing the envelope in Time Series, Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Machine Learning (ML) and Computer Vision (CV).

Key job responsibilities

• Design, develop, and evaluate innovative ML/DL models to solve diverse challenges and opportunities across industries
• Interact with customers directly to understand their business problems, and help them with defining and implementing scalable ML/DL solutions to solve them
• Work closely with account teams, research scientist teams, and product engineering teams to drive model implementations and new algorithms
• Keep up to date with the latest developments in Machine Learning and apply these to address our customers’ business problems
• This position requires travel of up to 10-15% (pending COVID restrictions)

A day in the life

Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.

Work/Life Balance

Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We Hire and Develop the best so you can expect support in advancing your career ambitions and projects which will help you grow and develop your skills.

About the team

This team will be comprised of Applied Scientists, Data Scientists, and Deep Learning Architects to create cutting edge solutions for clients across EMEA, and will require travel up to 10-15% of the time (pending COVID restrictions). We are currently recruiting for talented individuals in the following cities: London, Paris and Berlin. Discover more at https://www.amazon.jobs/en/teams/amazonai.

BASIC QUALIFICATIONS

• Progress towards or a completed PhD in Computer Science, or related technical, machine learning, math, or scientific field
• Proven experience in building large scale machine learning or deep learning models and/or systems in a production environment
• Experience in using Python, R or Matlab or other statistical/machine learning software languages

PREFERRED QUALIFICATIONS

• Hands on experience building models with deep learning frameworks like MXNet, Tensorflow, Keras, Caffe, PyTorch, or similar
• Experience with machine learning, time series, NLP and CV solutions
• Scientific thinking and the ability to invent a track record of thought leadership and contributions that have advanced the field
• Experience in hiring or mentoring more junior colleagues
• Fluency with other European languages is a plus

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.