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Microsoft Machine Learning Jobs (NOW HIRING)

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Microsoft Azure ML * Google Cloud AI Platform * Docker * Kubernetes * MLflow * CI/CD pipelines

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Microsoft Azure ML * Google Cloud AI Platform * Docker * Kubernetes * MLflow * CI/CD pipelines

GPTZero

Machine Learning Intern

New York, NY · On-site

What we're looking for At GPTZero, we ensure that machine learning models are created for the ... Edward (our CEO, ex-Bellingcat, Microsoft, BBC investigative journalism) to craft the messages we ...

Microsoft

Machine Learning Software Engineer

New York, NY · On-site

$188K - $304.20K/yr

Microsoft's mission is to empower every person and every organization on the planet to achieve more ... Proven experience leading small engineering and machine learning teams, and collaborating ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Familiarity with cloud computing frameworks and services, with a preference for Microsoft Azure.

Microsoft

Principal Machine Learning Engineer

New York, NY · On-site

$188K - $304.20K/yr

Microsoft's mission is to empower every person and every organization on the planet to achieve more ... Generalize machine learning (ML) solutions into repeatable frameworks. * Operationalize prompted ...

Microsoft

Principal Machine Learning Engineer

Redmond, WA · On-site

$188K - $304.20K/yr

We are seeking a Principal Machine Learning Engineer to accelerate our training of generative ... At Microsoft, our mission-to empower every person and every organization on the planet to achieve ...

LVT

Machine Learning Engineer

Seattle, WA · On-site

$150.50K - $208K/yr

About This Role As a Machine Learning Engineer, you will play a critical role on a team of ... Langchain, CrewAI, Microsoft Agent Framework, Anthropic's MCP, Google's A2A, etc. * Experience with ...

Microsoft

Machine Learning Scientist II

Redmond, WA · On-site

$102.10K - $202.20K/yr

Overview Microsoft 365 Copilot is a groundbreaking productivity tool that leverages the power of ... machine learning. As an Applied Scientist in Office AI, you would work in an exciting and fast ...

LVT

Machine Learning Engineer

Seattle, WA · On-site

$150.50K - $208K/yr

About This Role As a Machine Learning Engineer, you will play a critical role on a team of ... Langchain, CrewAI, Microsoft Agent Framework, Anthropic's MCP, Google's A2A, etc. * Experience with ...

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How much do microsoft machine learning jobs pay per year?

As of May 29, 2026, the average yearly pay for microsoft machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Microsoft Machine Learning Engineer, and why are they important?

To thrive as a Microsoft Machine Learning Engineer, you need a solid background in computer science, mathematics, and statistics, typically supported by a relevant degree and experience in machine learning model development. Proficiency with tools such as Azure Machine Learning, Python, TensorFlow or PyTorch, and familiarity with cloud computing platforms is expected, along with certifications like Microsoft Certified: Azure AI Engineer Associate. Strong problem-solving skills, collaboration, and effective communication are crucial soft skills for successful project delivery and stakeholder engagement. These skills and qualities are vital for developing robust, scalable ML solutions that meet business objectives in dynamic environments.

What types of projects do Microsoft Machine Learning engineers typically work on, and how does collaboration with other teams factor into their daily responsibilities?

Microsoft Machine Learning engineers often work on projects involving large-scale data analysis, building predictive models, and developing AI-powered features for Microsoft products and services. Collaboration is a key part of the role; engineers frequently partner with data scientists, software developers, and product managers to align machine learning solutions with business objectives and user needs. Regular cross-functional meetings, code reviews, and joint problem-solving sessions are common, fostering a collaborative and innovative work environment. This teamwork not only enhances project outcomes but also provides valuable learning opportunities across different disciplines.

What is a Microsoft Machine Learning Engineer?

A Microsoft Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models using Microsoft technologies such as Azure Machine Learning, Python, and various data science tools. They work with large datasets to develop predictive models, automate processes, and provide data-driven insights for businesses. Their responsibilities often include data preprocessing, model training, evaluation, and deploying solutions to the cloud. They collaborate closely with data engineers, data scientists, and software developers to integrate machine learning solutions into applications. Proficiency in Microsoft Azure and knowledge of AI frameworks are essential for this role.
More about Microsoft Machine Learning jobs
What cities are hiring for Microsoft Machine Learning jobs? Cities with the most Microsoft Machine Learning job openings:
What are the most commonly searched types of Microsoft Machine Learning jobs? The most popular types of Microsoft Machine Learning jobs are:
What states have the most Microsoft Machine Learning jobs? States with the most job openings for Microsoft Machine Learning jobs include:
What job categories do people searching Microsoft Machine Learning jobs look for? The top searched job categories for Microsoft Machine Learning jobs are:
Microsoft Machine Learning jobs near you
Infographic showing various Microsoft Machine Learning job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 4% As Needed, 73% Full Time, 19% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer Intern

Aivra Health LLC

$28 - $45/hr

Other

Posted 10 days ago

Job description

Machine Learning Engineer Intern

United States
Internship | Full-Time (40 hours/week)
Pay Range: $28 – $45 per hour 
Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome

Position Overview

We are seeking a highly motivated Machine Learning Engineer Intern to join our AI/ML team. This role is ideal for students or entry level candidates in STEM fields who are passionate about building scalable machine learning models and deploying them into production environments.

The intern will work closely with Data Scientists and Software Engineers to develop, train, evaluate, and deploy machine learning models that solve real-world business problems.

Key Responsibilities

  • Assist in building and training machine learning and deep learning models

  • Perform data preprocessing, feature engineering, and exploratory data analysis (EDA)

  • Implement supervised and unsupervised learning algorithms

  • Optimize model performance using hyperparameter tuning

  • Deploy ML models using REST APIs or cloud services

  • Work on model monitoring, validation, and performance tracking

  • Collaborate with cross-functional teams in Agile/Scrum environment

  • Document experiments and maintain reproducible ML workflows

Required Qualifications

  • Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or related STEM field

  • Strong understanding of Machine Learning fundamentals

  • Knowledge of Probability, Statistics, and Linear Algebra

  • Basic understanding of Data Structures and Algorithms

Technical Skills (ATS Keywords)Programming Languages

  • Python

  • R (preferred)

  • Java (basic knowledge)

  • SQL

Machine Learning & AI Frameworks

  • Scikit-learn

  • TensorFlow

  • Keras

  • PyTorch

  • XGBoost

  • LightGBM

Data Processing & Big Data

  • Pandas

  • NumPy

  • Apache Spark

  • PySpark

  • Hadoop

NLP & Advanced Techniques (Preferred)

  • Natural Language Processing (NLP)

  • Computer Vision

  • Deep Learning

  • Transformers

  • LLM fundamentals

Cloud & MLOps

  • AWS (SageMaker, S3, EC2)

  • Microsoft Azure ML

  • Google Cloud AI Platform

  • Docker

  • Kubernetes

  • MLflow

  • CI/CD pipelines

  • Model Deployment & Monitoring

Tools & Concepts

  • Git

  • REST APIs

  • Feature Engineering

  • Model Evaluation Metrics

  • A/B Testing

  • Agile/Scrum

Preferred Qualifications

  • Prior ML internship or academic research experience

  • Experience deploying models into production

  • Knowledge of MLOps practices

  • Strong problem-solving and analytical skills

  • Good communication and teamwork abilities

Compensation & Benefits

  • Competitive hourly compensation ($28 – $45/hr)

  • Hands-on real-world AI/ML project experience

  • Mentorship from senior ML engineers

  • Opportunity for full-time conversion

  • H1B sponsorship support for eligible candidates

  • STEM OPT extension support

Equal Opportunity Employer

We are an Equal Opportunity Employer and encourage applications from diverse backgrounds, including international students and professionals requiring H1B sponsorship or STEM OPT support.

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