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Machine Learning Engineer Opt Jobs in Auburn, MA

AI Annotator Intern

Sudbury, MA · On-site

$15.75 - $21/hr

Work in close collaboration with Gentuity's software and machine learning teams, system engineers and external clinical collaborators. Requirements Interest in artificial intelligence, image ...

AI Annotator Intern

Sudbury, MA · On-site

$15.75 - $21/hr

Work in close collaboration with Gentuity's software and machine learning teams, system engineers and external clinical collaborators. Requirements: Interest in artificial intelligence, image ...

AI Annotator Intern

Sudbury, MA · On-site

$15.75 - $21/hr

Work in close collaboration with Gentuity's software and machine learning teams, system engineers and external clinical collaborators. Requirements Interest in artificial intelligence, image ...

We're music fanatics and audio engineers. We're explorers and inventors and dreamers. And we're ... Data science, machine learning, and analytics are a crucial part of this mission. These ...

Sr. Data Scientist

Framingham, MA · On-site

$120K - $165K/yr

We're music fanatics and audio engineers. We're explorers and inventors and dreamers. And we're ... Data science, machine learning, and analytics are a crucial part of this mission. These ...

Substantial training in and knowledge of machine learning techniques and strong programming skills. * Effective communication in English, both orally and in writing, and ability to interact with ...

Senior Software Engineer

Sudbury, MA · On-site

$128K - $168K/yr

... Machine Learning for Image or Data Processing (TensorFlow or similar packages) DICOM / PACS ... Engineering Experience with building embedded software in medical, scientific, and/or analytical ...

Principal Software Engineer

Sudbury, MA · On-site

$141K - $189K/yr

... Machine Learning for Image or Data Processing (TensorFlow or similar packages) DICOM / PACS ... Engineering Experience with building embedded software in medical, scientific, and/or analytical ...

Principal Software Engineer

Sudbury, MA · On-site

$141K - $189K/yr

... Machine Learning for Image or Data Processing (TensorFlow or similar packages) · DICOM / PACS ... Engineering · Experience with building embedded software in medical, scientific, and/or analytical ...

Data Engineer III (Platform)

Webster, MA · On-site

$118K - $142K/yr

MAPFRE USA is looking for a self-motivated team player to join their Data Engineering team as a ... Preferred : • Artificial intelligence, machine learning, and deep learning are a plus. Company

Senior Software Engineer

Sudbury, MA · On-site

$128K - $168K/yr

... Machine Learning for Image or Data Processing (TensorFlow or similar packages) · DICOM / PACS ... Engineering · Experience with building embedded software in medical, scientific, and/or analytical ...

Senior Software Engineer

Sudbury, MA · On-site

$140K - $175K/yr

... Machine Learning for Image or Data Processing (TensorFlow or similar packages) • DICOM / PACS ... Engineering • Experience with building embedded software in medical, scientific, and/or ...

Principal Software Engineer

Sudbury, MA · On-site

$190K - $210K/yr

... Machine Learning for Image or Data Processing (TensorFlow or similar packages) • DICOM / PACS ... Engineering • Experience with building embedded software in medical, scientific, and/or ...

Showing results 21-40

Machine Learning Engineer Opt information

See Auburn, MA salary details

$31.5K

$128.7K

$193.4K

How much do machine learning engineer opt jobs pay per year?

As of Aug 13, 2026, the average yearly pay for machine learning engineer opt in Auburn, MA is $128,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,400.00 and $154,900.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

What cities near Auburn, MA are hiring for Machine Learning Engineer Opt jobs?

Cities near Auburn, MA with the most Machine Learning Engineer Opt job openings:

Senior Robotics SW Engineer , Velocity

Amazon

Westborough, MA

$126K - $166K/yr

Full-time

Re-posted 22 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,084 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

RDPI's Velocity software team develops the autonomy software that powers Velocity. We are looking for a Senior Software Engineer to join our perception and localization team. You will be part of an exceptional group of engineers building the platform and architecture for our perception, motion planning and control software.

In addition, you will collaborate with engineers cross the team to develop and enhance our robotic capabilities.
Key job responsibilities
Specific areas of focus may include (but are not limited too):
- Evaluating and integrating new sensors into the autonomy software stack.
- Developing sensor fusion techniques for obstacle detection and localization.
- Developing machine-learning capabilities and infrastructure for robotic perception and localization.
- Optimizing runtime performance of autonomy algorithms by exploiting underlying hardware acceleration capabilities.
- Building frameworks for large-scale replay and analysis of events in pre-recorded sensor data.
- Building frameworks to monitor and manage resource utilization on embedded compute platform.
- Building visualization tools for analyzing and debugging robot behavior.


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