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Internship Full Stack Machine Learning Engineer Jobs in Michigan

KLA

Senior Full Stack Software Engineer (E)

Ann Arbor, MI · On-site

$110.90K - $188.50K/yr

Basic understanding of statistics, data visualization, analytics, and machine learning ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

SynergisticIT

Remote Software Engineer

Ann Arbor, MI · On-site

$50.75 - $69.50/hr

We want data science/machine learning/data analyst and Java full stack candidates. For data science ... computer engineering, electrical engineering, information systems, IT project work on the ...

General Motors

Senior Machine Learning Engineer

Warren, MI · On-site +1

$222.91K - $227.20K/yr

Machine Learning Frameworks, including TensorFlow and PyTorch; Mathematical Reasoning and Probability; Programming in C++ or Python; Experience with Robot Operating System (ROS), OpenCV, or PCL;

SynergisticIT

Junior Data Engineer

Detroit, MI · On-site

Recent computer science/engineering/mathematics/statistics or science graduates or people looking ... We want data science/machine learning/data analyst and Java full stack candidates. Required skills ...

Code4lib

Software Engineer (Full-stack)

Lansing, MI · On-site +1

... engineering, machine learning, and systems architecture working on the leading-edge technology ... Knowledge of full web technology stack (e.g., HTTP, cookies, headers, caching, CDN, and security ...

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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 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 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 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 Michigan? The most popular types of Full Stack Machine Learning Engineer jobs in Michigan are:
What are popular job titles related to Internship Full Stack Machine Learning Engineer jobs in Michigan? For Internship Full Stack Machine Learning Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Internship Full Stack Machine Learning Engineer jobs in Michigan look for? The top searched job categories for Internship Full Stack Machine Learning Engineer jobs in Michigan are:
What cities in Michigan are hiring for Internship Full Stack Machine Learning Engineer jobs? Cities in Michigan with the most Internship Full Stack Machine Learning Engineer job openings:
Internship Full Stack Machine Learning Engineer jobs near you
Senior Full Stack Software Engineer (E)

Senior Full Stack Software Engineer (E)

KLA Corporation

Ann Arbor, MI

$110.90K - $188.50K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Job Description/Preferred Qualifications

Senior Full Stack Software Engineers are core to KLA's technology, while we do not currently have an opening, we are always building our Software Engineering talent community, we are interested in learning about your background.

Apply to this posting for Future Opportunities with KLA.

You will work with an agile full-stack team of software, data and algorithm engineers, with responsibilities spanning all stages of the software product lifecycle. This includes gathering and defining technical requirements, researching appropriate technologies, selecting optimal solutions based on requirements and success criteria, designing the requisite software components, coding the design, performing the requisite tuning and testing, and maintaining up-to-date documentation.

You will fit right in if you have a sound understanding of the fundamentals of Computer Science and practical experience developing reliable software components.

Basic Requirements:

  • Technical expertise in one or more programming languages (C#/Java/Python)

  • Excellent software design/implementation capabilities

  • Strong understanding of data structures and algorithms

  • Experience with data processing and storage technologies such as SQL and/or NoSQL Database systems

  • Experience working with source control systems

  • Strong communication and interpersonal skills

  • Motivated to learn new skills independently

  • Creative thinker with good problem-solving abilities

Desired:

Having some of following types of experience is useful:

  • Experience developing a software application that ships to a customer and/or data storage/processing infrastructure used in production

  • Multi-threaded and multi-core software application programming

  • Experience with containerization and cluster management tools such as Docker and Kubernetes

  • Basic understanding of statistics, data visualization, analytics, and machine learning

  • Distributed computing principles

  • Web development (HTTP, REST, JavaScript, HTML, CSS)

  • Experience building or troubleshooting scientific instruments or other mechanical, electrical, and/or optical systems

Minimum Qualifications

Doctorate (Academic) or work experience of 2 years , Master's Level Degree or work experience of 4 years , Bachelor's Level Degree or work experience of 5 yearsBase Pay Range: $110,900.00 - $188,500.00Primary Location: USA-MI-Ann Arbor-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

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