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Junior Full Stack Machine Learning Engineer Jobs in Massachusetts

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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 ...

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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 ...

Modulate

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 ...

Manulife

Senior Machine Learning Engineer

Boston, MA · Hybrid

$107K - $199K/yr

Mentor Data Scientists and Junior Engineers in best practices for programming, Machine Learning ... full range of statutory leaves of absence. We use data and analytics technologies, such as ...

Motion Recruitment

Full Stack Engineer

Cambridge, MA · On-site

Full-time, onsite opportunity for a Senior or Staff Full Stack Engineer based in Central Square ... and machine learning teams to deliver customer-facing features • Debug and resolve complex ...

Motion Recruitment

Full Stack Engineer

Cambridge, MA · On-site

Full-time, onsite opportunity for a Senior or Staff Full Stack Engineer based in Central Square ... and machine learning teams to deliver customer-facing features • Debug and resolve complex ...

Tutor

Full Stack Software Engineer

Watertown, MA · On-site

The role of Full Stack Software Engineer involves architecting and engineering core software for robot systems, backend services, and machine learning applications, contributing to impactful ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$124K - $149K/yr

Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail ... A solid grasp of the full ML lifecycle, from data cleaning and feature engineering to validation ...

VideaHealth

Senior Machine Learning Engineer

Boston, MA · On-site

$170K - $205K/yr

... full lifecycle. If you care about impact and want to help define the future of applied AI in health ... Background in multimodal or stacked models, especially combining CV outputs with tabular data.

Nanite Inc.

Machine Learning Engineer

Boston, MA

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Capital One

Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

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

Harvard University

Machine Learning Engineer

Boston, MA · On-site +1

... Machine Learning Engineer with advanced expertise to lead development of large language models ... Proficiency with the Python deep learning software stack, particularly expertise in PyTorch, Numpy ...

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

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Junior Full Stack Machine Learning Engineer information

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

AspectJunior Full Stack Machine Learning EngineerJunior Data Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, works on both backend and frontendAnalyzes data, builds models, and visualizes insights, mainly in data analysis tools
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve working with data and machine learning, the Junior Full Stack Machine Learning Engineer focuses on building complete applications with ML components, including frontend and backend development. The Junior Data Scientist primarily analyzes data, creates models, and provides insights without necessarily developing full applications.

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 are popular job titles related to Junior Full Stack Machine Learning Engineer jobs in Massachusetts? For Junior Full Stack Machine Learning Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Junior Full Stack Machine Learning Engineer jobs in Massachusetts look for? The top searched job categories for Junior Full Stack Machine Learning Engineer jobs in Massachusetts are:
Junior Full Stack Machine Learning Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Focus Financial Partners

Boston, MA • On-site

Full-time

Re-posted 7 days ago

Job description

Job Summary:
Focus Financial Partners is a leading financial services firm that provides integrated wealth management and business management services. They are seeking a skilled Machine Learning Engineer to design, deploy, and maintain production-grade machine learning systems, collaborating with various teams to translate research models into scalable applications.
Responsibilities:
• Develop, deploy, and optimize machine learning models for real-world business use cases and client-facing applications.
• Partner with data scientists to operationalize predictive models and ensure scalable, maintainable, and performant production deployments.
• Design and implement data pipelines and workflows that support training, inference, and model lifecycle management.
• Work with large, complex datasets to ensure data quality, reproducibility, and reliable version control across ML workflows.
• Implement model monitoring, logging, and alerting strategies to track performance, detect drift, and support retraining cycles.
• Leverage cloud platforms (AWS, Azure, GCP) to build scalable ML solutions using managed services and infrastructure-as-code practices.
• Write clean, modular, and well-documented code aligned with MLOps and software engineering best practices.
• Stay current on emerging ML tooling, frameworks, and industry best practices to continuously enhance our platform and capabilities.
Qualifications:
Required:
• Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• 6+ years of experience in machine learning engineering, applied ML, or related software engineering roles.
• Strong proficiency in Python and experience with modern ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with distributed data processing and compute frameworks (e.g., Pandas, Spark, Dask).
• Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with CI/CD pipelines, testing automation, and version control using Git.
• Strong understanding of model evaluation, feature engineering, and performance optimization in production contexts.
• Excellent analytical, communication, and collaboration skills, with the ability to work effectively in cross-functional teams.
Preferred:
• Experience working with cloud-based ML platforms or services (e.g., SageMaker, Vertex AI, Databricks, or Snowflake ML).
Company:
Focus Financial Partners is a partnership of fiduciary wealth management firms that offers support and access to capital for growth. Founded in 2006, the company is headquartered in New York, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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