Sr. Machine Learning Engineer, Amazon Q in QuickSight

Amazon; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a Sr. Machine Learning Engineer to join their innovative team focused on applied machine learning and natural language processing. In this role, you will tackle complex, high-impact projects that help customers make data-driven decisions. You will design and build prototypes, run experiments, and deploy models to production, all while collaborating in a supportive environment that values mentorship and career growth. This is a fantastic opportunity to contribute to cutting-edge developments in generative business intelligence and shape the future of data interaction.

Qualifications

• 5+ years of experience in software development and programming.
• Experience in leading design and architecture of systems.

Responsibilities

• Develop ML algorithms to meet business objectives.
• Run experiments to assess model performance and improvements.
• Deploy models to production systems and monitor them.

Skills

Machine Learning

Natural Language Processing

Software Development

Programming

Mentoring

Design Patterns

Prototyping

Education

Bachelor's degree in Computer Science

Tools

Python

Java

Git

Job description

Sr. Machine Learning Engineer, Amazon Q in QuickSight

Job ID: 2941999 | Amazon.com Services LLC

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 Machine Learning Engineer, you will be working on 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!

A day in the life:

1. Understand business objectives, product requirements and develop ML algorithms that achieve them.
2. Build Prototypes, POC to determine feasibility.
3. Run experiments to assess performance and improvements.
4. Provide ideas and alternatives to drive a product/feature.
5. Define data and feature validation strategies.
6. Deploy models to production systems and operate them including monitoring and troubleshooting.

About the team: 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. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.

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.

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information.