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Description
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 Generative AI Innovation Center team helps AWS customers accelerate the use of Generative AI to solve business and operational challenges and promote innovation in their organization.
In this role you are a passionate, talented, and inventive Machine Learning Engineer with a strong background in ML and AI to help develop solutions by pushing the envelope in Generative AI, Time Series, Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Machine Learning (ML) and Computer Vision (CV).
Key job responsibilities
As a Machine Learning Engineer, you are proficient in developing and deploying advanced ML models to solve diverse challenges and opportunities.
You will be working alongside scientists with terabytes of text, images, and other types of data and develop novel models 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) 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.
The Primary Responsibilities Of This Role Are To
- 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.
About The Team
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale.
The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
Basic Qualifications
- 3+ years of non-internship professional software development experience.
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
- Experience programming with at least one software programming language.
Preferred Qualifications
- Graduate degree (MS or PhD) in computer science, engineering, mathematics or related technical / scientific field.
- Practical experience in solving complex problems in an applied environment.
- Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2.
- Experiences related to machine learning, deep learning, NLP, CV, GNN, or distributed training.
- Experience with Trainium, Inferentia, and AWS Neuron SDK.
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 https : / / www.amazon.jobs / en / disability / us
This position will remain posted until filled. Applicants should apply via our internal or external career site.
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