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Senior Full Stack Machine Learning Engineer Jobs in Massachusetts

Sr. Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Senior Full Stack Python Developer - Network Automation Type: Contract - 6+ months Location: Boston or Quincy, MA - 4 days a week onsite Overview Seeking a senior full stack Python developer with ...

As part of our team, you'll work on high-impact projects at the intersection of AI, machine learning, and secure software engineering. We're seeking a Senior Full-Stack Engineer to join our growing ...

As part of our team, you'll work on high-impact projects at the intersection of AI, machine learning, and secure software engineering. We're seeking a Senior Full-Stack Engineer to join our growing ...

Machine Learning Engineer

Somerville, MA · On-site

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Full health, dental, and vision coverage * Flexible PTO with a strong culture of taking it * Weekly ...

Machine Learning Engineer

Somerville, MA · On-site +1

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Full health, dental, and vision coverage * Flexible PTO with a strong culture of taking it * Weekly ...

Machine Learning Engineer

Somerville, MA · On-site +1

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Full health, dental, and vision coverage * Flexible PTO with a strong culture of taking it * Weekly ...

As a Senior Full Stack Engineer, you will be responsible for building robust, scalable features and ... culture of continuous learning. * Support the reliability of our services by implementing ...

Senior Machine Learning Engineer Job Duties: Design and implement image processing solutions to ... full range of statutory leaves of absence. We use data and analytics technologies, such as ...

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Senior Full Stack Machine Learning Engineer information

What is the difference between Senior Full Stack Machine Learning Engineer vs Data Scientist?

AspectSenior Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, integrates backend and frontendAnalyzes data, builds models, visualizes insights
Industry UsageTech, finance, healthcare, where deploying ML models is essentialResearch, analytics, consulting across various sectors

While both roles involve working with data and machine learning, the Senior Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, including frontend and backend integration. In contrast, Data Scientists primarily analyze data and develop models to generate insights. The engineer's role is more application-oriented, whereas the Data Scientist's role is more research and analysis-focused.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Massachusetts? The most popular types of Full Stack Machine Learning Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Senior Full Stack Machine Learning Engineer jobs? Cities in Massachusetts with the most Senior Full Stack Machine Learning Engineer job openings:
Senior Full Stack Engineer - Customer Agent

Senior Full Stack Engineer - Customer Agent

Klaviyo

Boston, MA • On-site

Other

Re-posted 5 days ago


Job description

About the Role

Our team is looking for a Senior Full Stack Engineer to lead key initiatives that will enhance our product offerings and support our company's growth. In this role, you'll play a crucial part in shaping outcomes by developing innovative end-to-end solutions using both front-end and back-end technologies. You'll optimize existing products and create new solutions that redefine what's possible for our customers.

As a Senior Engineer, you'll tackle complex challenges, develop multiple solutions, and evaluate business and technical trade-offs to determine the best path forward. You'll also act as a leader and mentor, and drive key technology decisions. Additionally, you'll be responsible for deploying well-designed, thoroughly tested solutions that ensure reliability and performance.

The Customer Agent team drives Klaviyo's most ambitious innovations-creating and scaling the company's boldest new bets. As a nimble group with a flat structure and fast-moving culture, we prioritize simplicity, speed, and impact. Every team member is expected to take radical ownership-rolling up their sleeves, collaborating across disciplines, and pushing beyond traditional role boundaries to make things happen. Success in this role means delivering exceptional work that sets the standard for velocity and results company-wide, while helping shape Klaviyo's future through experimentation, creativity, and executional excellence.

What We're Looking For

  • A proven track record of building high-quality products and systems, with pride in writing clean, high-quality code.
  • 7+ years of experience in a software engineering role.
  • Strong experience developing end-to-end software solutions or extensive experience with both front-end and back-end technologies.
  • Experience leading projects and being accountable for their outcomes.
  • Experience mentoring team members or driving initiatives that help the team learn new skills.
  • Experience conducting code reviews and running a robust testing cycle.
  • Experience working in agile, fast-paced environments.
  • You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
  • Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Nice to Have

  • Skills with Python and related technologies
  • Skills with React and related technologies
  • Experience developing digital marketing or customer data software solutions.
  • Experience with machine learning.
  • Experience building cloud-native solutions, ideally with AWS.

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