Data Science Engineer Visa Sponsorship Jobs in Massachusetts
Data science engineer jobs in Massachusetts are concentrated in Boston, Cambridge, and the Route 128 corridor, where employers like Amazon, IBM, and a dense network of biotech and fintech firms actively hire for these roles. The state's proximity to MIT, Harvard, and Northeastern creates a strong pipeline that many of these companies sponsor through H-1B visa and other work visa categories.
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Get Access To All JobsINTRODUCTION
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Senior Software Engineer - Agent Platform
At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We’ve built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business.
As a Senior Software Engineer, Agent Platform, you’ll play a key role in designing and scaling the backend systems that power our AI products and agent solutions. This backend-heavy role gives you opportunities to influence architecture, async processing, and distributed systems. You’ll collaborate closely with product managers, ML engineers, and data scientists to deliver real-world impact at scale.
This role is hybrid and based in Boston.
How you'll make a difference:
- Design and build backend systems to scale AI solutions for 167K+ customers.
- Contribute to our agentic architecture to support performant AI agents.
- Build tools to tune LLM-based features, deploy agents, MCP and RAG in production, and evaluate performance using tools like Arize, OpenAI, Bedrock, LangChain, vLLM and Ray.
- Develop reliable, scalable data pipelines and APIs for AI systems.
- Foster a culture of ownership, experimentation, and customer-first thinking.
Who You Are:
We encourage candidates to apply even if they do not meet all the qualifications listed. AI Ops is a rapidly evolving space and we are all constantly learning!
- 5+ years of experience as a backend software engineer, building scalable, distributed systems.
- Strong experience working in production environments and launching ML/AI projects.
- Hands-on experience with generative AI and agentic AI applications in production.
- Proficient in Python (or similar).
- Comfortable collaborating with cross-functional technical partners.
- Curious, proactive, and eager to learn.
Nice to Have:
- Experience with big data tools (e.g., Apache Spark, Ray).
- Familiarity with cloud infrastructure (AWS, Terraform, Kubernetes).
- Knowledge of ML frameworks (Huggingface, PyTorch, TensorFlow, Keras).
COMPENSATION
- Base Pay Range For US Locations: $148,000—$222,000 USD
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.
By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).
INTRODUCTION
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Senior Software Engineer - Agent Platform
At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We’ve built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business.
As a Senior Software Engineer, Agent Platform, you’ll play a key role in designing and scaling the backend systems that power our AI products and agent solutions. This backend-heavy role gives you opportunities to influence architecture, async processing, and distributed systems. You’ll collaborate closely with product managers, ML engineers, and data scientists to deliver real-world impact at scale.
This role is hybrid and based in Boston.
How you'll make a difference:
- Design and build backend systems to scale AI solutions for 167K+ customers.
- Contribute to our agentic architecture to support performant AI agents.
- Build tools to tune LLM-based features, deploy agents, MCP and RAG in production, and evaluate performance using tools like Arize, OpenAI, Bedrock, LangChain, vLLM and Ray.
- Develop reliable, scalable data pipelines and APIs for AI systems.
- Foster a culture of ownership, experimentation, and customer-first thinking.
Who You Are:
We encourage candidates to apply even if they do not meet all the qualifications listed. AI Ops is a rapidly evolving space and we are all constantly learning!
- 5+ years of experience as a backend software engineer, building scalable, distributed systems.
- Strong experience working in production environments and launching ML/AI projects.
- Hands-on experience with generative AI and agentic AI applications in production.
- Proficient in Python (or similar).
- Comfortable collaborating with cross-functional technical partners.
- Curious, proactive, and eager to learn.
Nice to Have:
- Experience with big data tools (e.g., Apache Spark, Ray).
- Familiarity with cloud infrastructure (AWS, Terraform, Kubernetes).
- Knowledge of ML frameworks (Huggingface, PyTorch, TensorFlow, Keras).
COMPENSATION
- Base Pay Range For US Locations: $148,000—$222,000 USD
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.
By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).
Data Science Engineer Job Roles in Massachusetts
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Search Data Science Engineer Jobs in MassachusettsData Science Engineer Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for data science engineers in Massachusetts?
Large technology and life sciences employers are among the most active sponsors in Massachusetts. Companies like Amazon, IBM, Biogen, Wayfair, and MathWorks have consistent H-1B filing histories for data science and machine learning roles. Boston-area financial services firms, including Fidelity Investments and State Street, also sponsor data science engineers with regularity. Sponsorship activity is heaviest among companies with established legal and HR infrastructure to manage the process.
Which visa types are most common for data science engineer roles in Massachusetts?
The H-1B is the most common visa category for data science engineer roles in Massachusetts, as the position typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates already in the U.S. on F-1 OPT or STEM OPT extension are frequently hired before transitioning to H-1B sponsorship. The O-1A is an option for candidates with demonstrated distinction in their field, though it requires substantial documentation.
Which cities in Massachusetts have the most data science engineer sponsorship jobs?
Boston and Cambridge account for the largest share of data science engineer sponsorship jobs in Massachusetts, driven by the concentration of technology companies, financial institutions, and life sciences employers in those cities. Waltham and Burlington along the Route 128 corridor are also significant hubs, hosting mid-size and enterprise technology firms. Worcester and Lowell have smaller but growing data and analytics hiring activity, often tied to healthcare systems and regional technology employers.
How to find data science engineer visa sponsorship jobs in Massachusetts?
Migrate Mate is built specifically for international job seekers and filters data science engineer roles in Massachusetts by visa sponsorship. Rather than sorting through postings that don't address sponsorship, Migrate Mate surfaces employers with a documented history of sponsoring work visas for technical roles. Filtering by state and job category helps narrow results to Massachusetts-based positions that are realistically accessible to candidates who need H-1B or other visa support.
Are there state-specific factors that affect data science engineer visa sponsorship in Massachusetts?
Massachusetts employers filing H-1B petitions must meet Department of Labor prevailing wage requirements based on the specific job location, and Boston and Cambridge wages reflect a high-cost metropolitan area. The state's deep university ecosystem means many employers are familiar with OPT-to-H-1B transitions and have existing immigration counsel in place. Life sciences and fintech companies in particular tend to have structured sponsorship processes, which can make the experience more consistent than smaller or less experienced employers.
What is the prevailing wage for sponsored data science engineer jobs in Massachusetts?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.