Software Engineering Jobs in Somerville

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We’re professionals working in finance, technology, engineering, marketing, and more.

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Seasonal Warehouse Worker UPS Quick Apply Applying for this role online is quick and easy – and you could even schedule your first day of work within 10 minutes! The steps are...

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Seasonal Warehouse Worker UPS Quick Apply Applying for this role online is quick and easy – and you could even schedule your first day of work within 10 minutes! The steps are...

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Minimum of 5 years professional software programming experience in development, integration, or test using C++, Java or similar object-oriented software language. The mission of the software team in Marlborough, MA is to provide world-class software for our customers. Participate in collaborative, i

Requirements

• PA

Description

Participate in collaborative, integrated product teams, employ agile software development techniques and resources to develop, test, and integrate complex software and systems solutions for aerospace and defense applications. Assist and participate in the requirements, design, development and testin

Requirements

• PA

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Applying for this role online is quick and easy – and you could even schedule your first day of work within 10 minutes!.Provide some basic information to start the application process.Watch a short video to see what the job is like.Complete our online application process.Receive your job offer and

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# (Jr) Machine Learning (ML) DeveloperLaminar (Formerly H2Ok Innovations)Somerville, MA (Hybrid)Full-time$89,000 – $141,000 / yearAI tools:PyTorchJAXTensorFlowUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageThis early-career developer will build and refine machine learning models used to optimize industrial fluid and process manufacturing. The work spans sensor-data pipelines, model experiments, reliability monitoring, and production ML tooling, in collaboration with ML and data scientists.* Permanent* Hybrid* Recent graduate### Skills and expertisePythonPyTorchJAXTensorFlowNumPyPolarsPandasscikit-learn### Key responsibilities* Build machine learning models for industrial process optimization using Laminar’s sensor data.* Design experiments and evaluate models for accuracy, generalizability, and robustness.* Develop sensor-data pipelines, model monitoring, and ML infrastructure with the team.## How this job comparesCompared with 37 open junior machine learning jobs on October 10, 2026.Pay: This job pays $89K to $141K a year. The 12 open junior machine learning jobs that publish US pay start at $128K on average, so this job starts about 31% lower.Similar open jobs: We Love AI Jobs lists 37 open junior machine learning jobs at 26 companies.Remote work: This job is hybrid. 0 of the 37 junior machine learning jobs (0%) are remote.AI in this role: High. AI is the core of the work: building, training or deploying AI systems. Developing and evaluating machine learning models is the core of the role. The models use spectral and multimodal sensor data to support real-time understanding and optimization of manufacturing processes.## Full descriptionMachines learned to understand language. We’re teaching them to understand matter.Forty percent of global manufacturing happens through physical and chemical processes inside pipes, tanks, and reactors. Despite decades of industrial automation, much of what happens inside them remains remarkably invisible. Manufacturing is the most ubiquitous and foundational sector in global economy, yet the way factories are fundamentally run have used the same control philosophies, manual operations, and legacy software for the past 60 years.Laminar deploys state-of-the-art patented sensors and edge hardware directly into live production environments, generating data that didn’t previously exist to build foundation models deployed in factory floors that understand chemistry, composition, quality, and material state in real time. We use that understanding to run autonomy and rethink how things are made.The last generation of industrial automation taught machines to execute instructions reliably. The next will teach them to understand the processes they control and run autonomously, adaptively, and agentically: higher quality, safety, more efficiently, sustainably, and productively.That future is already taking shape. Today, Laminar works with 7 of the world’s 10 largest food and beverage manufacturers and operates across hundreds of factories globally across six continents. Our systems have materially reduced waste, cut manufacturing downtime, saved water, chemicals, energy, and helped prevent safety and quality failures. Our technology has gained international recognition, from being selected as a 2026 World Economic Forum Technology Pioneer, Gold 2026 Edison Award, Unilever Startup of the Year, to Innovator Awards by both Coca-Cola and AB InBev, and more.We are backed by tier-one investors in physical AI to make intelligent, self-improving production the new standard for industry.Join us to build what makes matter intelligible, and the intelligible controllable.The RoleAs our company grows and scales, we are excited for a ML Developer to join the team! We are looking for ambitious, hard-working recent graduates who want to be at the forefront of bringing AI to fluid &amp; process manufacturing. As a ML Developer, you will own the development and refinement of Laminar’s machine learning models – the heart of our process optimization technology. Your work will affect all of Laminar’s key process optimization models across domains including (but not limited to): CIP (clean-in-place), product changeovers, material identification, and emerging use-cases.You’ll work closely with ML/Data Scientists to bring cutting-edge models all the way from prototype to production. This entails scaling up model training methodologies, crafting experiments, and running ablation studies across a wide and diverse range of domains, all with the goals of increasing model accuracy and reliability. Your work will be instrumental to hyper-scaling Laminar’s solutions and unlocking key markets through enabling new use-cases.What You Will Do• Build machine learning models that usher in the next generation of data-driven, fluid-based industrial processes powered by Laminar's proprietary spectral sensors and software platform• Design and run experiments to evaluate and select machine learning models that are generalizable, accurate, and robust to day-to-day process variability• Work with spectral and multi-modal sensor data, building preprocessing and feature extraction pipelines that can derive insights from noisy, real-world sensors• Support model reliability by developing monitoring (and correction systems, when applicable) for model drift, sensor drift, and process anomalies• Develop performant ML infrastructure and tooling in collaboration with ML/Data Scientists and software team members• Work across problem domains including chemometrics, hybrid modeling, and self-supervised learning. Modeling tasks include distribution modeling, drift and anomaly detections, similarity analyses, and continuous calibrationAbout You• Proficient in at least one Python ML framework (PyTorch, JAX, TensorFlow)• Fluent with Python packages for numeric computing and data workflows (e.g. NumPy, Polars, Pandas, scikit-learn)• An engineer who favors clean, testable code and has a proven track record of delivering high-quality work on a timeline• An executor who thrives with direction and can independently complete technical project objectives• Someone detail-oriented who has a natural curiosity about data. You are enthusiastic to test out hypotheses, understand in detail how our models work, and run physical experiments to improve our modeling capabilities.<br />#J-18808-Ljbffr

Requirements

• RN
• DO
• NP
• PA

Benefits

• Remote work
• Training

Description

<p>Laminar invites an early-career ML Developer to build and refine machine learning models for industrial optimization using proprietary spectral sensors and real-time data. You will collaborate with ML/Data Scientists to bring models from prototype to production, while enhancing preprocessing pipelines and ML tooling in a hybrid work environment.</p><p>The role emphasizes experimenting, evaluating model robustness, and improving reliability across domains such as CIP, material identification, and</p><br />#J-18808-Ljbffr

Requirements

• RN
• DO
• MPH

Description

Seasonal Warehouse Worker UPS Quick Apply Applying for this role online is quick and easy – and you could even schedule your first day of work within 10 minutes! The steps are...

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Want to help pets live their best lives? We're proud to be where the pets go and where the pet people go. If you want to make a real difference, create an exciting career path, feel welcome to be your whole self and nurture your wellbeing, Petco...

Requirements

• PA

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Seasonal Warehouse Worker UPS Quick Apply Applying for this role online is quick and easy – and you could even schedule your first day of work within 10 minutes! The steps are...

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Want to help pets live their best lives? We're proud to be where the pets go and where the pet people go. If you want to make a real difference, create an exciting career path, feel welcome to be your whole self and nurture your wellbeing, Petco...

Requirements

• PA

Description

Ready to take the next step in your Software Developer career? Check out available jobs in Somerville and apply today. Don't miss out on great opportunities near you.

Requirements

• DO

Description

This role is located in Somerville, MA - We are a hybrid work environment and are in the office 3+ days/per week.Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip’s cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category.A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, Israel and Japan. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage’s Top Workplaces USA, and one of Built In Boston’s “Best Places to Work” and “Best Midsize Places to Work.”About YouYou've built tools that engineers rely on. You’re deeply familiar with the day-to-day challenges developers face, from local development to automated testing, deployments and CI/CD. You understand the potential that Agentic AI presents towards enhancing these processes and are enthusiastic about getting your hands on the tools, and developing scientific processes to accelerate the work of your fellow engineers.What skills do I need?5+ years of software engineering experience, ideally with a focus on developer tooling, platform engineering, or internal-facing/DevX systemsProven ability to build internal tools that make powerful AI capabilities accessible to engineers, including the judgment to know when to build vs. buy, and when to standardize vs. let teams experimentA natural collaborator who earns trust with engineers quickly, understands real engineering pain points, and co-creates solutions that get adopted rather than shelvedStrong full-stack TypeScript proficiency, deep familiarity with API design and integration (RESTful services, MCP, and similar), and comfort working across a modern engineering tech stackProduction experience with AWS, CI/CD using Github Actions or similar tool, and a genuine understanding of AI safety and security, especially around code execution and access to internal systemsExperience with or strong interest in developer experience fundamentals: reducing friction, measuring engineering productivity, and treating internal tooling like a product with real usersBachelor's degree in Computer Science, Engineering, or equivalent work experienceKey ResponsibilitiesPartner with engineering teams to identify the highest-leverage AI opportunities in the developer workflow: from code generation and review to testing, debugging, and internal tooling.Own foundational architecture and standards for how agents model releases, and internal tools are evaluated, and deployed internally: including reliability, evals, efficiency, and secure tool access patternsBuild and improve the onboarding, documentation, and discovery layer that helps engineers find and adopt the right tools (skills catalogs, guides, internal wikis) rather than reinventing themStay plugged into Developer tooling trends externally to shape internal standards and roadmap decisionsMeaningfully contribute to organizational enablement for engineering, including internal learning programs, office hours, and change management as new tools roll outInstrument and measure adoption and impact of internal AI tooling, and use that data to prioritize what to build nextKey CollaboratorsProduct Engineering Teams AKA Our CustomersInfrastructure &amp; DevOps TeamsQAWorking At TulipWe know even great candidates experience imposter syndrome. Even if you don’t match every requirement, applying gives you the opportunity to be considered.We’re building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:Direct impact on product and cultureCompany equityCompetitive benefits package including Health, Dental, Vision, Short-term Disability, Long-term Disability, Life Insurance, AD&amp;D Insurance, Flexible Spending Account (FSA), Commuter Benefits, Parental Leave, and 401(K)Flexible work schedule and unlimited vacation policyLearning &amp; Development programVirtual and in-office global company events and happy hoursFitness subsidiesAn inclusive, dog-friendly office with diverse and inspiring colleaguesWe are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations.The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range posted, actual compensation will be determined depending on multiple factors including job-related knowledge &amp; skills, experience, business needs, geographical location, market compensation data, and internal equity. Expected compensation ranges for this role may change over time. The salary range for this position is $125,000-$175,000 per year.It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.Please note that we may use AI-based tools to support parts of our hiring process. All data processing is carried out in compliance with local data protection laws, ensuring all personal candidate information is handled securely and ethically.

Requirements

• RN
• DO
• PA

Benefits

• Dental
• Vision
• Vacation

Description

Seasonal Warehouse WorkerApply fast, check the full description by scrolling below to find out the full requirements for this role. UPS Quick ...

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To achieve these goals, software engineers in this organization leverage their technical strengths and teamwork skills via collaboration with Cloud partners and internal Engineering partners. Join our innovative and dynamic Cloud Engineering team at NetApp, where we are dedicated to pushing the boun

Requirements

• RN
• PA

Description

The opportunity Reporting to the VP of Engineering, you'll take ownership of several engineering teams and the platforms they build. Senior Software Engineering Manager - Digital Health | Remote (US). X4 are excited to be partnered with a fast-growing digital health organisation on a key leadership

Requirements

• PA

Description

This position plays a key role in supporting digital product delivery and engineering operations by modernizing engineering practices, improving developer productivity, strengthening operational excellence, and enabling teams to deliver high-quality software at scale. Bachelor’s degree in Computer

Requirements

• RN

Description

Potential<br />backgrounds could include: Director of SRE | Director of Platform<br />Engineering | Director of Infrastructure Engineering | Head of SRE<br />| Head of Platform | Head of Infrastructure | Senior Engineering<br />Manager – SRE | Senior Engineering Manager – Platform | Principal<br />SRE / Platform Enginee

Requirements

• PA