Massachusetts

Developer Jobs in Massachusetts

106 jobs found

Include remote jobs

13d ago

Machine Learning Engineer

John Hancock Life Insurance Company (U.S.A.) Boston, MA

Boston, MA

13d ago

$90k - $167k/yr Full time Backend Developer APIs Artificial Intelligence

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Job Description

Build and run production machine learning and data systems in a hybrid Boston role.

Responsibilities

Develop, build, and maintain scalable data pipelines for underwriting, analytics, and machine learning systems
Create and deploy backend services and microservices for data ingestion, retrieval, and ML inference workflows
Deploy, monitor, and maintain machine learning pipelines and backend services in production environments
Perform root-cause analysis for data, model, and pipeline issues, and implement corrective solutions
Partner with data scientists, underwriters, and engineering teams to turn business requirements into technical solutions
Support production releases and large-scale batch processing for underwriting workflows

Requirements

Master’s degree or foreign equivalent in Data Science, Information Studies, Information Science, Computer Science, Machine Learning, or a closely related field
3 years of Python programming experience for backend systems, automation, or machine learning workloads
3 years of experience with SQL or NoSQL databases, including PostgreSQL or MongoDB, for data modeling, querying, or pipeline integration
3 years of experience developing or deploying machine learning models using PyTorch or TensorFlow
3 years of experience building or maintaining backend APIs or microservices using FastAPI or Flask
2 years of experience deploying ML workflows or backend services using AWS or Azure
2 years of experience using containerization and orchestration tools including Docker and Kubernetes
2 years of experience using GitHub Actions or TeamCity for Continuous Integration and Continuous Deployment (CI/CD)
2 years of experience designing distributed or scalable systems, including microservices, load balancing, or distributed processing

Technology Stack

Python
SQL, NoSQL
PostgreSQL, MongoDB
PyTorch, TensorFlow
FastAPI, Flask
AWS, Azure
Docker, Kubernetes
GitHub Actions, TeamCity

Work Arrangement

Hybrid (Boston, MA): 3 days in office, 2 days at home

Compensation

Salary range: USD 90,160 - 167,440 per year
Listed salary: $162,198 per year

Benefits

Incentive programs with incentive compensation tied to business and individual performance (eligible employees)
Health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans
Retirement savings plans including pension/401(k) savings plans and a global share ownership plan with employer matching contributions
Financial education and counseling resources
Paid time off program (U.S.): up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, plus statutory leaves of absence

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14d ago

Software Developer - Android

Vertifi Software LLC Burlington, MA

Burlington, MA

14d ago

$90k+/yr Full time .NET Android C Sharp

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Job Description

Vertifi Software LLC is seeking an experienced Software Developer focused on Android. The role centers on designing, developing, testing, deploying, and maintaining Android applications, with the possibility of expanding to other platforms over time.

Role Overview

You will work with a small team across the full development lifecycle. While Android is the priority platform, the position may also involve iOS and Windows work as needs evolve. Responsibilities include improving and maintaining applications across the product suite and participating in technical discussions related to architecture and code quality.

Responsibilities

Design, develop, test, and deploy Android applications, with opportunity to contribute across iOS and Windows as work requirements change
Collaborate with a small team across the full development lifecycle
Enhance and maintain existing applications across the product suite
Contribute to architecture and code quality discussions

Required Qualifications

3+ years of professional software development experience
Professional Android development experience, including shipped consumer-facing apps or SDKs in production
Strong object-oriented programming fundamentals
Comfort learning new languages and platforms as project needs demand
Strong problem-solving skills and clear communication
Bachelor’s degree in Computer Science or related field, or equivalent professional experience
Unrestricted authorization to work in the U.S.

Technologies

The role involves working with Android and may include additional platform work using iOS and Windows. Technologies listed include:

Android, iOS, Windows
Swift, Kotlin, C#, HTML, JavaScript, Java

Preferred / Ideal Background

Experience with iOS development
Familiarity with one or more core languages: Swift, Kotlin, or C#
Familiarity with web technologies: HTML and JavaScript

Compensation

Salary: USD 90,000 per year (from $90,000.00 per year), commensurate with experience.

Benefits

Hybrid work schedule with 3 days in office per week
Competitive salary ($90,000 per year, commensurate with experience)
Medical, dental, GL & LTD coverage
401(k) with employer match
11 paid holidays plus sick and vacation days
On-site cafeteria and fitness center
401(k), dental insurance, health insurance, life insurance

Work Location

Hybrid remote in Burlington, MA 01803.

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15d ago

Machine Learning Engineer

XPO Boston, MA

Boston, MA

15d ago

$100k - $120k/yr Full time Artificial Intelligence Automation Bigquery

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Job Description

In this hybrid role in Boston, MA, XPO is hiring a Machine Learning Engineer to build and maintain the systems that make ML programs reliable in real production settings. You will focus on data preparation and validation tooling, ML infrastructure for training and deployment, and MLOps capabilities such as CI/CD, monitoring, and feedback loops.

This position supports the full path from experimentation to deployment by partnering with applied and data scientists and coordinating with data engineering to ensure dependable, accessible data pipelines.

What you’ll work on

Build and maintain data preparation and validation tooling to ensure high-quality inputs for ML and optimization models
Design and implement ML infrastructure for model training, evaluation, and deployment
Create and maintain CI/CD pipelines for machine learning models, including automated testing and validation
Implement model monitoring, drift detection, and feedback loops to track performance in production
Partner with applied and data scientists to productionize models and streamline the path from experimentation to deployment
Collaborate with data engineering teams to ensure reliable, accessible data pipelines
Contribute to shared MLOps tooling and best practices across the AI/ML organization

Minimum qualifications

Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent related work or military experience)
1 year of experience in software or machine learning engineering, including hands-on experience building data pipelines, ML infrastructure, or MLOps tooling
Experience developing data preparation, validation, or quality-checking tooling for machine learning pipelines
Proficiency in Python and SQL
Experience with cloud data or ML platforms, such as AWS, GCP, or BigQuery
Strong collaboration skills working with data science/applied science teams and data engineering teams
Master’s degree in Computer Science or related field
3+ years of experience building ML infrastructure for training, evaluation, and deployment at scale
Experience building and maintaining CI/CD pipelines for machine learning models
Experience with model serving and inference infrastructure (batch and real-time)
Experience implementing model monitoring, drift detection, and feedback-loop tooling
Experience with containerization and orchestration (Docker, Kubernetes)
Experience partnering with data engineering teams on data pipeline reliability and access

Technologies

Python
SQL
AWS
GCP
BigQuery
Docker
Kubernetes

Compensation and benefits

Annual salary range: $100,000 to $120,000 (actual compensation may vary based on experience and skill set)
Full health insurance benefits available on day one
Life and disability insurance
Earn up to 15 days of PTO over your first year
9 paid company holidays
401(k) option with company match
Education assistance
Opportunity to participate in a company incentive plan
This is an incentive-based position, which may include bonuses, incentive or commission plans

Location

Boston, MA (hybrid)

Education

Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent related work or military experience).

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18d ago

Principal Data Engineer

Motion Recruitment Boston, MA

Boston, MA

18d ago

Full time Cloud Cloud Data Platform Data

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Job Description

Motion Recruitment is hiring a Principal Data Analytics Engineer to help evolve a cloud-native data platform supporting a financial technology analytics ecosystem. This hybrid role in Boston’s Back Bay blends hands-on engineering with ownership of platform architecture, data modeling, and cross-functional technical direction.

In this position, you will shape the technical roadmap while also contributing directly to scalable pipelines, analytics engineering practices, and production-grade performance. The role includes a split across platform engineering, analytics and business logic work, and technical leadership across teams and stakeholders.

Role Focus

40% Data platform architecture and engineering
30% Data modeling, analytics engineering, and business logic
20% Technical leadership and cross-functional strategy
10% Platform innovation and performance optimization
60% Hands-on engineering
25% Technical leadership and architecture
15% Cross-functional collaboration and stakeholder engagement

Responsibilities

Design and engineer a scalable cloud-native data platform architecture for analytics workloads
Develop data modeling and analytics logic, including implementation of business logic
Provide technical direction through leadership, architecture decisions, and cross-functional planning
Drive platform innovation, reliability improvements, and performance optimization
Collaborate with stakeholders to influence technical and business outcomes

Requirements

8+ years of experience in data engineering, analytics engineering, or data platform development
Expert-level proficiency in Python and SQL
Experience designing scalable ETL/ELT pipelines and cloud-native data architectures
Strong experience with dbt, Apache Airflow, Apache Spark, or equivalent modern data frameworks
Experience with Google Cloud Platform and related services such as BigQuery, Dataproc, Cloud Run, or similar cloud technologies
Deep understanding of data modeling, business logic implementation, and relational database design
Experience building highly reliable, production-scale data platforms
Strong software engineering fundamentals with emphasis on performance, scalability, and maintainability
Excellent communication skills, including experience influencing technical and business stakeholders
Experience mentoring engineers and driving engineering best practices across teams

Technologies

Python
SQL
dbt
Apache Airflow
Apache Spark
Google Cloud Platform
BigQuery
Dataproc
Cloud Run

Benefits

Medical Insurance
Dental Benefits
Vision Benefits
401(k)
Unlimited Paid Time Off (PTO)
Monthly Fitness Stipend & Annual Wellness Fund
Paid Parental Leave
Professional Development & Conference Opportunities

Desired Skills & Experience

Experience architecting enterprise-scale analytics platforms
Background in financial services such as lending, capital markets, or structured finance
Experience working with AI-assisted development tools and modern data automation frameworks
Experience partnering directly with customers and executive stakeholders
Familiarity with distributed computing, data governance, and large-scale data quality initiatives
Experience leading technical strategy across cross-functional engineering organizations

The Offer

Competitive base salary with bonus and equity potential.

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18d ago

Senior Machine Learning Engineer

Motion Recruitment Boston, MA

Boston, MA

18d ago

Full time Senior Agentic Ai Ai Agent

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Job Description

Motion Recruitment is hiring a Senior Machine Learning Engineer for a Boston, MA hybrid team. In this hands-on role, you will help shape scalable AI platforms and advanced agent-based systems, with an emphasis on production-ready autonomous workflows and LLM-driven capabilities for enterprise products.

You will work across the full lifecycle of AI development, from architecture and distributed machine learning services to building agentic applications and semantic retrieval pipelines that support dependable generation.

Role summary

Highly hands-on engineering position focused on creating, productionizing, and maintaining sophisticated AI and ML capabilities for enterprise research applications
Design and enhance distributed machine learning services and scalable platform components
Build agentic applications, semantic retrieval pipelines, and supporting orchestration frameworks
Develop and improve LLM applications and retrieval-augmented generation (RAG) capabilities for enterprise use

What you will do

Create, productionize, and maintain AI/ML capabilities for enterprise research applications
Architect and enhance distributed machine learning services and scalable platform components
Build agentic applications, semantic retrieval pipelines, and orchestration frameworks
Partner with software, platform, and security teams to deliver AI systems that are dependable, secure, and high-performing

Requirements

Deep knowledge of machine learning systems and autonomous agent design
Hands-on experience creating LLM applications and RAG solutions
Practical experience with vector search technologies and vector data stores
Familiarity with production ML operations, monitoring, and deployment practices
Strong Python development skills
Working knowledge of AWS infrastructure and Kubernetes environments

Technologies

Python
AWS
Kubernetes
Vector search technologies
Vector data stores
LLM applications
Retrieval-augmented generation (RAG)
Large language model applications

Education

Bachelor’s degree or higher in computer science, engineering, data science, or a related discipline

Experience

Minimum experience: 8 years
Preferred: Experience delivering software for legal technology, compliance, financial services, or another regulated domain
Preferred: At least 12 years of software engineering experience, or 8 or more years combined with a PhD

Benefits

Comprehensive medical coverage
Dental insurance
Vision insurance
Paid vacation and personal time
401(k) retirement plan with employer match, where offered
Performance-based bonus eligibility

Work authorization

Candidates must be authorized to work full-time in the United States both now and in the future

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18d ago

Senior Machine Learning Engineer

Motion Recruitment Boston, MA

Boston, MA

18d ago

Full time Agentic Ai Ai Agent Ai Ml

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Job Description

This hybrid Senior Machine Learning Engineer position supports generative AI applications aimed at research-heavy professional workflows. The role focuses on turning advanced model work into reliable services, retrieval components, and coordinated agent systems, with an emphasis on deployment, scale, observability, and responsible use.

Role Focus

You will build and productionize large language model services and supporting capabilities for an enterprise platform. Work includes semantic retrieval and orchestration that connects LLMs, retrieval services, tools, and agent-based processes, enabling users to search, synthesize, and act on complex information.

Responsibilities

Serve as a deeply hands-on individual contributor, delivering AI-driven product features for professional users.
Develop resilient services and platform patterns designed for large-scale, distributed machine learning workloads.
Create orchestration layers that coordinate LLMs, retrieval services, tools, and multi-step agent workflows.
Build and improve large language model services, semantic retrieval components, and coordinated agent systems.
Collaborate with product engineering, data, infrastructure, and cybersecurity teams to support enterprise standards for speed, availability, and protection.

Requirements

Significant experience developing and productionizing machine learning solutions.
Hands-on expertise with large language models, autonomous agents, and multi-step AI workflows.
Strong understanding of retrieval-augmented generation, embeddings, vector indexing, and semantic search.
Knowledge of model release processes, experiment tracking, monitoring, and related MLOps practices.
Professional Python engineering experience.
Experience operating distributed workloads in AWS and Kubernetes.
Experience building products for legal, regulatory, publishing, knowledge-management, or similarly content-intensive environments.
Experience level: 12+ years in software development, or 8+ years of development experience combined with a doctoral degree.
Degree in computer science, artificial intelligence, engineering, or a related technical discipline.
Authorization to work in the United States on a full-time basis now and in the future.

Location and Work Model

This is a hybrid role based in Boston, MA with the position also described as a hybrid role based in Nashua, New Hampshire.

Technologies

Python
AWS
Kubernetes

Compensation and Benefits

Annual performance bonus opportunity.

Benefits Package

Medical plan options
Dental coverage
Vision coverage
Paid vacation and other time-off programs
401(k) retirement savings plan with employer contribution when applicable

Education

Degree in computer science, artificial intelligence, engineering, or a related technical discipline.

Experience Level

Minimum experience: 8 years.

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19d ago

Senior Machine Learning Engineer

Motion Recruitment Worcester, MA

Worcester, MA

19d ago

Full time Senior Ai Ml Artificial Intelligence

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Job Description

Motion Recruitment is hiring a Senior Machine Learning Engineer for a hybrid role in Worcester, Massachusetts. In this position, you will turn applied AI capabilities into secure, scalable features across the applied AI stack, including generative AI/LLM applications, intelligent search, and agent-based systems.

This role is hands-on and end-to-end: you will design, implement, test, and deliver machine learning solutions that support research workflows, summarization, discovery, and knowledge-based decision making, while building distributed services that can operate reliably across a large enterprise product ecosystem.

What you’ll do

Own the technical work as a hands-on engineer, covering design, implementation, testing, and delivery
Build AI-powered capabilities for research, summarization, discovery, and knowledge-based decision making
Architect distributed machine learning services to perform reliably across a large enterprise product ecosystem
Develop and connect retrieval pipelines, model services, agent frameworks, and supporting APIs
Collaborate with application, platform, data, and security teams to meet requirements for performance, resilience, privacy, and scale

Key requirements

Proven success delivering machine learning or AI systems in production environments
Practical experience building applications that use LLMs, AI agents, and tool-driven workflows
Knowledge of RAG patterns, embedding models, vector stores, and relevance-focused retrieval techniques
Familiarity with operational ML practices, including testing, deployment automation, observability, and model governance
Strong Python development skills and solid software engineering fundamentals
Experience building cloud-native solutions with AWS and container orchestration platforms such as Kubernetes

Technology focus

Python, LLMs, RAG patterns, embedding models, vector stores, AWS, Kubernetes

Education

Bachelor’s degree or higher in computer science, machine learning, engineering, or a closely related field.

Benefits Motion Recruitment offers

Eligible for a performance-based bonus program
Comprehensive medical insurance
Dental insurance
Vision insurance
Paid time off and company leave programs
401(k) retirement plan, including an employer match where applicable

Preferred background

Exposure to legal technology, enterprise search, publishing, compliance, or another information-dense product domain
At least 12 years of software development experience, or 8+ years together with a PhD

Hybrid schedule: This position follows a hybrid schedule based in Worcester, Massachusetts. Candidates must be authorized to work full-time in the United States both now and in the future.