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Machine Learning Engineer Software Engineer Jobs in New Bedford, MA

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Showing results 21-40

Machine Learning Engineer Software Engineer information

See New Bedford, MA salary details

$64.2K

$149.1K

$207.8K

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

As of Sep 3, 2026, the average yearly pay for machine learning engineer software engineer in New Bedford, MA is $149,146.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,300.00 and $174,900.00 per year, depending on experience, location, and employer.

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 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.

What job categories do people searching Machine Learning Engineer Software Engineer jobs in New Bedford, MA look for?

The top searched job categories for Machine Learning Engineer Software Engineer jobs in New Bedford, MA are:

What cities near New Bedford, MA are hiring for Machine Learning Engineer Software Engineer jobs?

Cities near New Bedford, MA with the most Machine Learning Engineer Software Engineer job openings:

Senior Machine Learning Engineer - Providence - Rag/LLM/Ai

Motion Recruitment Partners, LLC

Providence, RI โ€ข On-site

$105K - $145K/yr

Other

Medical, Dental, Vision, Retirement

Posted 23 days ago


Job description


A well-established enterprise information and analytics organization is adding a Senior Machine Learning Engineer to its Providence team. Working on a hybrid schedule, this person will lead technical efforts that turn emerging AI concepts into durable, large-scale product capabilities.
You will focus on intelligent tools built for research-intensive professional users, with an emphasis on generative AI, semantic search, retrieval frameworks, and multi-step agent workflows. The role blends hands-on development with technical leadership: evaluating new approaches, shaping reusable platform patterns, and establishing standards that help AI solutions operate consistently across a global product portfolio.
Required Skills & Experience
Extensive experience designing and delivering applied machine learning solutions
Proven ability to build systems powered by large language models and AI agents
Strong understanding of retrieval-augmented generation, embeddings, and vector-based search
Experience supporting model delivery through MLOps tooling and production practices
Advanced Python programming ability
Experience deploying cloud-native services with AWS and Kubernetes
Desired Skills & Experience
Prior work in legal technology, knowledge management, publishing, or another information-rich industry
12 or more years of software development experience, or at least 8 years plus a doctorate
Degree in computer science, machine learning, engineering, or a comparable technical field
What You Will Be Doing
Daily Responsibilities
100% hands-on technical contribution
Develop and release AI features that improve how professionals discover, evaluate, and use complex information
Create scalable services and shared infrastructure for distributed machine learning applications
Implement retrieval pipelines, agent orchestration, and supporting components for generative AI products
Coordinate with application, cloud, data, and security teams to meet performance, reliability, and governance requirements
The Offer
Performance bonus eligibility
You will receive the following benefits
Medical insurance options
Dental coverage
Vision coverage
Paid time away from work
401(k) plan with company matching when applicable
This opportunity follows a hybrid work model in Providence, Rhode Island.
Applicants must have unrestricted authorization to work in the United States on a full-time basis now and in the future.