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Machine Learning Internship Microsoft Jobs in Missouri

Experience with Microsoft Office Suite (Word, Excel, PowerPoint). * Experience with Google ... machine learning or machine learning systems/infrastructure, and one (1) year of relevant work ...

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Machine Learning Internship Microsoft information

What is a machine learning internship at Microsoft?

A Machine Learning Internship at Microsoft is a temporary position for students or recent graduates to gain hands-on experience working on real-world machine learning projects. Interns collaborate with experienced engineers and researchers to develop, test, and deploy machine learning models and solutions that impact Microsoft products and services. The internship typically involves working with large datasets, implementing algorithms, and contributing to team goals while learning about cutting-edge AI technologies. Interns also benefit from mentorship, networking opportunities, and exposure to the latest industry practices.

What types of projects do interns typically work on during a machine learning internship at Microsoft?

As a Machine Learning intern at Microsoft, you can expect to work on impactful, real-world projects that contribute to ongoing products or research initiatives. Interns often collaborate with data scientists, software engineers, and product teams to develop, test, and refine machine learning models for applications such as natural language processing, computer vision, or recommendation systems. You'll likely participate in code reviews, present your findings, and receive mentorship from experienced professionals, all within a collaborative and innovative environment. These projects not only enhance technical skills but also provide valuable exposure to large-scale, industry-leading systems.

What are the key skills and qualifications needed to thrive as a machine learning intern at Microsoft, and why are they important?

To thrive as a Machine Learning Intern at Microsoft, you need a solid foundation in mathematics, programming (especially Python), and machine learning concepts, typically supported by coursework or related projects. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like Azure are often expected. Strong problem-solving skills, curiosity, and effective communication help you collaborate with team members and present findings. These skills are crucial for contributing to innovative projects and translating complex data-driven insights into impactful solutions within a dynamic tech environment.

What is the difference between Machine Learning Internship Microsoft vs Data Science Internship Microsoft?

AspectMachine Learning Internship MicrosoftData Science Internship Microsoft
Required SkillsProgramming, ML algorithms, Python, TensorFlowStatistics, data analysis, Python, SQL
Work EnvironmentResearch and development teams focused on ML modelsData analysis and visualization teams
Industry UsageAI and ML product developmentBusiness insights and data-driven decision making

Both internships are highly competitive roles at Microsoft, often requiring programming skills and relevant coursework. Machine Learning Internships focus on developing and deploying ML models, while Data Science Internships emphasize analyzing data to generate insights. Candidates should review the specific role descriptions to align their skills accordingly.

What are popular job titles related to Machine Learning Internship Microsoft jobs in Missouri?

For Machine Learning Internship Microsoft jobs in Missouri, the most frequently searched job titles are:

What cities in Missouri are hiring for Machine Learning Internship Microsoft jobs?

Cities in Missouri with the most Machine Learning Internship Microsoft job openings:

Principal Machine Learning Engineer

iHerb

California, MO • On-site

$205 - $230/hr

Other

Posted 21 days ago


iHerb rating

7.5

Company rating: 7.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

Overview

For A Better You At iHerb, we believe that living a healthy and balanced life should be easy and accessible to everyone. As a team member, we’ll empower you to live this promise each day as you make a truly global impact in your career. We strive for innovation while transforming and improving the online shopping experience for our customers. We believe that individually we are incredible, but together our growth is infinite. We are on a mission to make an impact on the global market, and the efforts of our people are paramount to helping us succeed. Whether you work in one of our logistics centers, technology hubs, corporate offices or from home, your role at iHerb will take you beyond what’s expected, turning challenge into change.

Job Summary

The Machine Learning Engineer will tackle challenging problems and create scalable machine learning systems and platforms that make an impact on millions of users. This role will work closely with business partners to provide machine intelligence driven solutions and products to simplify and enhance the customer experience and to automate core business processes. The Machine Learning Engineer will partner closely with Data Scientists, Applied Scientists, and Software Developers to ensure predictive models make business impact.

Responsibilities
  • Partner with the Data Platform team in a two-way exchange of best practices.
  • Adopt common patterns and build effective abstractions across different machine learning pipelines that simplify existing processes and accelerate modeling from problem inception to production deployment.
  • Develop horizontal solutions to robustly scale the team’s machine learning models and processes.
  • Build software with object-oriented design patterns and analysis (OOA and OOD) with an eye toward reducing technical debt and maintaining services at high availability.
  • Participate in requirements reviews, design reviews, and code reviews.
  • Research and prototype new technologies to support rapid business growth.
  • Interact cross-functionally with technical teams and work with data and applied scientists to identify opportunities to improve iHerb’s platform.
  • Note: This description may not cover all aspects of the role; other duties may be added as necessary.
Knowledge, Skills and Abilities
  • Required: Strong coding experience (e.g., Java, C#, Python).
  • Experience gathering data from multiple sources using big data technologies (Spark, Hadoop, BigQuery, Athena, etc.).
  • Experience building machine learning infrastructure following robust software engineering practices.
  • Knowledge of modern software development tools, systems, and practices (design patterns, CI/CD, Git, unit testing, smoke testing, integration testing, job schedulers, cloud technologies like AWS Lambda and Google Functions, etc.).
  • Exposure to all aspects of the software development life-cycle.
  • Experience with messaging technologies (Kafka, Google Pub/Sub, Kinesis, RabbitMQ, etc.).
  • Experience with Docker and Kubernetes.
  • High degree of accuracy and attention to detail; excellent organization and multitasking abilities.
Equipment Knowledge
  • Experience with Microsoft Office Suite (Word, Excel, PowerPoint).
  • Experience with Google Workspace (Gmail, Drive, Docs, Sheets, Forms) preferred.
Experience Requirements

Generally requires a minimum of two (2) years relevant experience in applied machine learning or machine learning systems/infrastructure, and one (1) year of relevant work experience in machine learning engineering or related fields (e.g., as a Machine Learning Engineer, ML Ops engineer, or related position).

Education Requirements

Bachelor’s Degree in Computer Science, Electrical Engineering, or related field required; Master’s Degree preferred.

Judgment / Reasoning

Able to identify, troubleshoot and resolve problems quickly using sound judgment and diplomacy. Ability to use judgment and reason to escalate issues as required, in a timely manner.

Physical Demands

The physical demands described are representative of those required to perform the essential functions. The team member is regularly required to talk and hear, and to sit, walk, climb stairs, use hands and fingers, bend, stoop and reach. Reaching above shoulder heights or below the waist may be required. May occasionally lift or move up to 25 pounds. Proper lifting techniques required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Work Environment

The work environment is typically moderate in noise. The environment can be hectic and fast-paced with multi-level distractions. Professional, yet casual work environment in an Office / Warehouse setting. Ability to work extended hours as required.

Compensation

The expected salary range for this role is $205,000.00 - $230,000.00 USD. The actual base pay offered will be determined by factors such as the candidate’s relevant experience, education, geographic location, and internal equity.

EEO

iHerb is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. iHerb provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment.

Notes

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

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