Search jobs > Boston, MA > Internship > Sr machine learning

Sr. Machine Learning Engineer, AFX - GenAI

Amazon
Boston, Massachusetts, US
Full-time

Sr. Machine Learning Engineer, AFX - GenAI

Job ID : 2734176 Amazon Web Services, Inc.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.

The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success.

DESCRIPTION

A high number of candidates may make applications for this position, so make sure to send your CV and application through as soon as possible.

Senior Machine Learning Engineer - AWS Field Experiences (AFX)

Are you passionate about inventing next-generation software powered by generative AI? Do you want to expand your expertise in ML and deep learning while working with cutting-edge concepts and tools?

AWS Field Experiences (AFX) team is looking for you!

As a Senior Machine Learning Engineer at AFX, you will be at the forefront of building AI-driven software tools that empower our field teams to win opportunities and generate revenue for AWS.

You will work with a team of passionate scientists and engineers to design, develop, and improve generative AI and traditional ML models that drive multiple software products.

Key Responsibilities :

  • Innovate system architectures that use Large Language Models (LLMs) and other forms of generative AI as building blocks.
  • Leverage diverse data sources to maximize business impact through ML and AI methods.
  • Design and develop end-to-end, robust, and scalable pipelines for data preparation, model training, deployment, and monitoring.
  • Collaborate with scientists, engineers, and product partners to deliver intelligent, feature-rich software products.
  • Mentor and educate our colleagues and customers about how AI technology works, and the ways it may change how knowledge work is done.

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.

Posted : July 12, 2024 (Updated about 18 hours ago)

Share this job

Important FAQs for current Government employees : FAQs for US Government Employees

J-18808-Ljbffr

1 day ago
Related jobs
Promoted
Apple
Cambridge, Massachusetts

The role further offers a learning platform to dig into the latest research about on-device machine learning, an exciting ML front-tier ! Possible example areas include model visualization, efficient inference, model compression, ML compilers, and/or federated learning. At Apple, the AIML - On-Devic...

Promoted
Wolters Kluwer
Waltham, Massachusetts

Develop predictive models using supervised and unsupervised machine learning/deep learning. AI technologies: NLP, Deep Learning, Machine Learning. Graduate degree (MS or PhD) in Computer Science or relevant field with a focus on NLP or Machine Learning. Collaborate across DXG and Wolters Kluwer with...

Promoted
TechStarsGroup
Boston, Massachusetts

As a senior ML engineer you'll assume a leading role in an agile team of ML and software engineering practitioners who collaborate closely with our product and clinical scientist teams. ML-flavored software engineering (not counting internships or school work). Mathematics or Electrical Engineer...

Promoted
C10 Labs
Cambridge, Massachusetts

C10 Labs is looking to add a Machine Learning Engineer to our growing team. This person will have a strong background in machine learning algorithms, data analysis, and software development and enjoy rapid prototyping and launching code. You will play a pivotal role in defining how we design, implem...

Promoted
Wolters Kluwer
Waltham, Massachusetts

Develop predictive models using supervised and unsupervised machine learning/deep learning. AI technologies: NLP, Deep Learning, Machine Learning. Graduate degree (MS or PhD) in Computer Science or relevant field with a focus on NLP or Machine Learning. Collaborate across DXG and Wolters Kluwer with...

Promoted
Xometry
Boston, Massachusetts

At Xometry, you will play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry’s platform. Principal Machine Learning Engineer. The right person will help move our machine learnin...

Promoted
Autodesk
Boston, Massachusetts

As a Machine Learning Engineer at Autodesk Research, you will work side-by-side with world-class researchers and engineers to build new ML-powered product features to help our customers imagine, design, and make a better world. Experience with version control, reproducibility, and deploying machine ...

Promoted
Robotics Prcocess Automation, LLC
Boston, Massachusetts

Job Title: Research Engineer, Machine Learning. Avigilon’s Boston Development team is looking for a versatile and talented Research Engineer to work in a multidisciplinary team of Engineers and Research Engineers with the goal of building the next generation of artificial intelligence solutions for ...

Home Depot
MASSACHUSETTS, US

Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizati...

National Grid
Waltham, Massachusetts

Design, provision and maintain the cloud infrastructure needed to support Data Engineering, Data Science, Machine Learning Engineers, and Machine Learning Operations. As an Associate Machine Learning Engineer on the National Grid Data Science team, you will develop data pipelines, take data science ...