Sr. Machine Learning Engineer, Amazon QuickSight
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.
Interested in applied ML using latest developments in Large Language Models and Natural Language Processing? We are a team creating innovations and working on continuous waves of new products to help our customers in this space. Ask a question on your data and you get an answer in seconds? That's the magic of Q! Amazon Q in QuickSight is a machine learning powered NLQ capability that allows business users to ask any question in natural language about their data and get the answer in seconds. Help us build the next evolution of Generative BI using latest Large Language Models (LLMs) and applied Machine Learning.
As a Senior Machine Learning Engineer, you will be leading projects that are both ambiguous, interesting and involve a high impact to our customers. You will use machine learning to solve real-life problems our customers face and enable them to make data-driven decisions. You will also envision solutions that help our customers understand how Q answers their questions while also creating new avenues for them to further explore their data. The opportunities are endless!
If this is you, we are looking forward to having you join our team and design, build innovative products and help lead a team that is working towards fundamental changes in the industry!
Amazon QuickSight is a fast, cloud-powered BI service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data. QuickSight is revolutionizing Business Intelligence by empowering anyone to use the power of machine learning and Amazon AI to enhance their understanding of data.
Key job responsibilities
- Understand business objectives, product requirements and develop ML algorithms that achieve them.
- Build Prototypes, POC to determine feasibility.
- Run experiments to assess performance and improvements.
- Provide ideas and alternatives to drive a product/feature.
- Define data and feature validation strategies.
- Deploy models to production systems and operate them including monitoring and troubleshooting.
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience.
- 5+ years of programming with at least one software programming language experience.
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
- Experience as a mentor, tech lead or leading an engineering team.
PREFERRED QUALIFICATIONS
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
- Bachelor's degree in computer science or equivalent.
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence.
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.
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