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Machine Learning Engineer Software Engineer Jobs in Massachusetts

As a ML engineer with the Alexa AI team, you will be responsible for machine learning platform ... About the team Central Analytics and Research Science (CARS) is an analytics, software, and science ...

As a ML engineer with the Alexa AI team, you will be responsible for machine learning platform ... About the team Central Analytics and Research Science (CARS) is an analytics, software, and science ...

Machine Learning Engineer

Cambridge, MA · On-site

$125K - $150K/yr

We seek a dynamic and passionate engineer with strong software fundamentals and a keen interest in ... Develop and deploy machine learning models for optimal performance and scalability. * Productivity ...

Sr. Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Collaborate as part of a cross-functional Agile team to create and enhance software that enables ...

Machine Learning Engineer

Cambridge, MA · On-site

$135K - $200K/yr

We seek a dynamic and passionate engineer with strong software fundamentals and a keen interest in ... Develop and deploy machine learning models for optimal performance and scalability. * Productivity ...

Senior Machine Learning Engineer, Health

Boston, MA · On-site

$113K - $155K/yr

As a Senior Machine Learning Engineer on our Health team, you will design, build, and productionize ... Preferred : • Experience developing ML-enabled software in a regulated or quality-managed ...

Senior Machine Learning Engineer

Boston, MA · On-site

$133K - $175K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale ... Strong software engineering fundamentals - object-oriented design, testing, and version control.

Xometry is looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a ... Solid grounding in software engineering fundamentals, data structures, and algorithms.

Senior Machine Learning Engineer

Boston, MA · On-site

$133K - $175K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale ... Strong software engineering fundamentals - object-oriented design, testing, and version control.

Xometry is looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a ... Solid grounding in software engineering fundamentals, data structures, and algorithms.

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of ... Familiarity with Git and collaborative software development practices. Nice to Have: * CUDA kernel ...

Senior Machine Learning Engineer Job Duties: Design and implement image processing solutions to enhance operational workflows and fraud detection. Duties include: * Design, develop, and maintain AI ...

As a ML engineer with the Alexa AI team, you will be responsible for machine learning platform ... About the team Central Analytics and Research Science (CARS) is an analytics, software, and science ...

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Machine Learning Engineer Software Engineer information

What is the difference between Machine Learning Engineer Software Engineer vs Data Scientist?

AspectMachine Learning EngineerSoftware Engineer
Required CredentialsBachelor's/Master's in CS, specialized ML coursesBachelor's in CS or related field
Work EnvironmentDevelops ML models, algorithms, data pipelinesBuilds software applications, systems, APIs
Industry UsageAI/ML projects, data-driven solutionsWeb, mobile, enterprise software

Machine Learning Engineers focus on designing and deploying ML models, requiring expertise in algorithms and data handling. Software Engineers develop broader software applications, emphasizing coding and system architecture. While both roles require programming skills, ML Engineers specialize in AI/ML tasks, whereas Software Engineers work across various software domains.

How do Machine Learning Engineer Software Engineers typically collaborate with data scientists and software development teams?

Machine Learning Engineer Software Engineers often serve as a bridge between data scientists and software development teams. They work closely with data scientists to understand and implement machine learning models, ensuring that the models are production-ready and scalable. Additionally, they collaborate with software engineers to integrate these models into existing applications, monitor their performance, and address any engineering challenges. This cross-functional collaboration is essential for delivering robust, end-to-end AI solutions that add real value to the business.
What job categories do people searching Machine Learning Engineer Software Engineer jobs in Massachusetts look for? The top searched job categories for Machine Learning Engineer Software Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Machine Learning Engineer Software Engineer jobs? Cities in Massachusetts with the most Machine Learning Engineer Software Engineer job openings:
Machine Learning Engineer, Alexa AI

Machine Learning Engineer, Alexa AI

Amazon

Boston, MA • On-site

Full-time

Posted 8 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,936 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background, to build capabilities such as fine tuning, distillation, and LLM Inference.
As a ML engineer with the Alexa AI team, you will be responsible for machine learning platform focus on LLM training, production deployment, and optimizations to advance the state of LLMs. You will collaborate closely with Applied Scientists and other MLEs, leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development of Generative Artificial Intelligence solutions.
Key job responsibilities
The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements

Creating reliable, scalable, and high performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment.
Responsibilities-
- Will work with other team engineers to investigate design approaches, prototype new technology and evaluate technical feasibility.
- Work closely with Applied scientists to process data, scale machine learning models
- Will work in an Agile/Scrum environment to deliver high quality software.
About the team
Central Analytics and Research Science (CARS) is an analytics, software, and science team within Amazon's Alexa AI organization. Our mission is to provide scalable and reliable evaluation of the state-of-the-art Conversational AI on how customers perceive the assistants they interact with - from the metrics themselves to software applications to deep dive on those metrics - allowing assistant developers to improve their services


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US