1

Internship Full Stack Machine Learning Engineer Jobs in Massachusetts

We build on a modern stack centered around TypeScript. Major elements include NestJS, Prisma, Bull ... Full healthcare benefits (medical, dental, vision) * Flexible PTO (at least 15 days / year ...

Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$113K - $155K/yr

This role is designed for someone who enjoys working across the full machine learning lifecycle and ... Proficiency with the Python machine learning stack, including tools such as Pandas, NumPy, and ...

Sr. Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

... Internship experience does not apply) * At least 4 years of experience programming with Python ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Job Opportunity Synergistic IT is a full-service staffing and placement firm servicing clients in ... Work with an international top-notch engineering team with full commitment on Machine Learning ...

Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail ... As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and ...

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

You will lead the design and delivery of complex ML systems, architect integrations across our tech stack, and set the engineering standard for how we build and deploy machine learning solutions at ...

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.

New

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

Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail ... As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and ...

... 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 ...

... 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 ...

Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail ... As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and ...

next page

Showing results 1-20

Internship Full Stack Machine Learning Engineer information

What are the key skills and qualifications needed to thrive as an Internship Full Stack Machine Learning Engineer, and why are they important?

To succeed as an Internship Full Stack Machine Learning Engineer, you need a solid understanding of programming (Python, JavaScript), basic machine learning concepts, and foundational knowledge in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, web development tools (React, Node.js), and version control systems like Git is typically expected. Strong problem-solving abilities, collaboration skills, and a willingness to learn set exceptional interns apart. These skills enable interns to contribute effectively to both model development and deployment, bridging the gap between data science and software engineering in real-world applications.

What is an Internship Full Stack Machine Learning Engineer?

An Internship Full Stack Machine Learning Engineer is a student or early-career professional who supports both the development of machine learning models and the integration of these models into full-stack applications. This role typically involves working on data preprocessing, building and training machine learning algorithms, and deploying these models within web or mobile applications. Interns in this field gain experience in both backend and frontend technologies, as well as in machine learning frameworks and tools. The position is ideal for those seeking hands-on experience in applying AI solutions within real-world products.

What types of projects and responsibilities can I expect as an Internship Full Stack Machine Learning Engineer?

As an Internship Full Stack Machine Learning Engineer, you can expect to work on end-to-end machine learning projects that involve both model development and integration into web or cloud applications. This may include tasks like cleaning and preparing datasets, building and testing machine learning models, developing APIs to serve predictions, and collaborating with front-end developers to deliver user-facing features. Interns often work closely with data scientists, software engineers, and product managers, gaining exposure to the full development lifecycle. These experiences help build both technical and teamwork skills, laying a strong foundation for a future career in the field.

What is the difference between Internship Full Stack Machine Learning Engineer vs Software Developer Intern?

AspectInternship Full Stack Machine Learning EngineerSoftware Developer Intern
Required SkillsKnowledge of machine learning, programming (Python, JavaScript), full stack development, data handlingProficiency in programming languages (Java, Python, JavaScript), software development, basic algorithms
Work EnvironmentCollaborates on ML models, data pipelines, backend and frontend developmentFocuses on application development, coding, debugging, and testing
Industry UsageUsed in AI-driven companies, tech startups, data science teamsCommon in software firms, app development companies, tech startups

The Internship Full Stack Machine Learning Engineer role emphasizes working with machine learning models and data-driven applications, combining full stack development skills with AI expertise. In contrast, a Software Developer Intern focuses more on traditional software development tasks like coding and debugging. Both roles are valuable entry points in tech, but they target different skill sets and project types.

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 job categories do people searching Internship Full Stack Machine Learning Engineer jobs in Massachusetts look for? The top searched job categories for Internship Full Stack Machine Learning Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Internship Full Stack Machine Learning Engineer jobs? Cities in Massachusetts with the most Internship Full Stack Machine Learning Engineer job openings:
Machine Learning Engineer

Other

Medical, Dental, PTO

Posted 4 days ago


Job description

We're looking for a smart, friendly, and dedicated machine learning engineers to help build new features and products. As a company, we're customer and sales-driven in every technical decision we make. As a machine learning engineer, you will develop natural language processing systems that help our customers understand their contracts. You will work with a wide range of structured and unstructured data sources. You will design and build customized, large-scale cloud-based machine learning systems. You will report directly to the CTO and get to work alongside the technical leadership team. You will have a close relationship with our Product Managers and UX Designers, collaborating in a fast-paced, small-team environment.
We're looking for teammates with:
  • BS in computer science or computer engineering required, MS preferred
  • Broad knowledge of machine learning and deep learning models and its applications using standard tools including Tensorflow/Keras
  • Backend development experience with a strong interest in work involving data pipelines, distributed systems, performance analysis, and/or large-scale data processing
  • Natural language processing experience including named-entity recognition and text classification is a plus
  • Strong Python skills and Python ML stack (pandas, scikit-learn, numpy, etc.) with knowledge of Object-Oriented Programming
  • Fluency in SQL and Database Management
  • Experience with software engineering practices (e.g. Agile, unit testing, code reviews, design documentation)
  • Excellent communication and collaboration skills and ability to communicate complex technical concepts to technical and non-technical audiences
By taking this job, you'll get:
  • MacBook Pro
  • Two HD monitors
  • Unlimited vacation
  • Stock options
  • All you can eat snacks
  • Great health and dental benefits
  • Company swag (we have the best socks in Boston)
  • Chance to build something amazing from the ground floor
  • Friendly commuting options to Downtown Crossing