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Weekend No Experience 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 ... Experience deploying models into production * Knowledge of MLOps practices * Strong problem-solving ...

Spotify

Machine Learning Engineer

Required : • Experience implementing ML systems at scale in Java, Scala, Python or similar ... machine learning models from research to production • Collaborative mindset, enjoy working ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Experience with one of the following: machine learning/deep learning systems, computer vision, graphics, computational imaging applications.Experience with Pytorch. MS/PhD in computer vision ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

Hands-on experience with machine learning frameworks and libraries, including TensorFlow, PyTorch ... If this role does not have Colorado listed as a hiring location, no specific application window ...

Leidos

Machine Learning Engineer

Beavercreek, OH · On-site

$87.10K - $157.45K/yr

This is an exciting opportunity to use your experience to help the Combat Identification (CID) team ... no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $87 ...

MM International

Machine Learning Engineer

Fremont, CA · On-site

Real-world experience deploying and maintaining machine learning solutions in production environments. * Passion for clean, sustainable, and modular code to bring research concepts to practical ...

Micron Technology

Machine Learning Engineer

Boise, ID · On-site

Position requires experience in: 1. Building and executing end-to-end ML systems automating training, testing, and deploying Machine Learning models in cloud platforms 2. Machine learning frameworks ...

Motorola

Machine Learning Engineer

Los Angeles, CA

Minimum of 3 years of experience in machine learning, with demonstrated application to real-world problems; 1 year of machine learning experience with a PhD. * Strong foundation in supervised and ...

Hive

Machine Learning Engineer

San Francisco, CA

$120K - $180K/yr

We value hard workers who have no qualms working with terabyte-scale datasets, who are interested ... Our ideal candidate has experience creating a working machine learning-powered project from the ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

We value hard workers who have no qualms working with terabyte-scale datasets, who are interested ... Our ideal candidate has experience creating a working machine learning-powered project from the ...

Hive

Machine Learning Engineer

Seattle, WA

$120K - $180K/yr

We value hard workers who have no qualms working with terabyte-scale datasets, who are interested ... Our ideal candidate has experience creating a working machine learning-powered project from the ...

ManTech International

Machine Learning Engineer

$128.80K - $214.50K/yr

Experience creating, maintaining, and communicating complex technical documentation for machine learning systems. Preferred Qualifications: * Experience with the Sponsor's primary cyber risk and ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

We value hard workers who have no qualms working with terabyte-scale datasets, who are interested ... Our ideal candidate has experience creating a working machine learning-powered project from the ...

CoVar

Machine Learning Engineer

Durham, NC

Previous experience with DoD customers is a plus. Minimum qualifications * Software expertise ... Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer ...

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How much do weekend no experience machine learning jobs pay per hour?

As of May 31, 2026, the average hourly pay for weekend no experience machine learning in the United States is $17.98, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $18.27 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning professional with no prior experience working weekends, and why are they important?

To thrive as a Machine Learning professional, foundational knowledge in mathematics, statistics, and programming (especially Python) is essential, typically demonstrated through coursework or self-directed learning. Familiarity with machine learning libraries such as scikit-learn or TensorFlow and version control systems like Git is highly beneficial, even at an entry level. Curiosity, problem-solving abilities, and effective communication help newcomers stand out as they learn quickly and collaborate with more experienced team members. These skills and qualities are crucial to building practical expertise, contributing to projects, and adapting to the evolving demands of machine learning roles.

What kind of support and training can I expect as someone starting a weekend machine learning role with no prior experience?

In a weekend machine learning role designed for beginners, you can typically expect onboarding sessions, access to online learning materials, and mentorship from more experienced team members. Many organizations provide structured guidance through tutorials, code reviews, and collaborative projects to help you build foundational skills. You’ll likely be assigned manageable tasks that allow you to gradually familiarize yourself with real datasets and tools, while regular feedback ensures your steady progress. Team meetings and open communication channels are common, so don’t hesitate to ask questions and seek help as you learn.

What is a Weekend No Experience Machine Learning job?

A Weekend No Experience Machine Learning job is a part-time opportunity typically scheduled on weekends for individuals interested in machine learning but who have little or no prior experience in the field. These jobs are designed for beginners and may involve tasks such as data labeling, assisting with simple coding projects, or supporting research teams. They provide a great entry point for those looking to gain hands-on experience, learn industry tools, and build their resumes while balancing other commitments like school or a full-time job.

What is the difference between Weekend No Experience Machine Learning vs Weekend Data Analyst?

AspectWeekend No Experience Machine LearningWeekend Data Analyst
Required CredentialsBasic understanding of programming, no formal certification neededBasic knowledge of data analysis tools, possibly some certifications
Work EnvironmentProject-based, flexible hours, often remotePart-time, flexible hours, often remote or on-site
Industry UsageTech, finance, healthcare, startupsBusiness, marketing, finance, consulting

Weekend No Experience Machine Learning roles focus on introductory tasks like data preprocessing and basic model training, suitable for beginners. Weekend Data Analyst positions involve analyzing datasets, creating reports, and supporting decision-making. Both roles are flexible and often part-time, but they differ in technical depth and industry focus.

More about Weekend No Experience Machine Learning jobs
What cities are hiring for Weekend No Experience Machine Learning jobs? Cities with the most Weekend No Experience Machine Learning job openings:
What states have the most Weekend No Experience Machine Learning jobs? States with the most job openings for Weekend No Experience Machine Learning jobs include:
What job categories do people searching Weekend No Experience Machine Learning jobs look for? The top searched job categories for Weekend No Experience Machine Learning jobs are:
Weekend No Experience Machine Learning jobs near you
Infographic showing various Weekend No Experience Machine Learning job openings in the United States as of May 2026, with employment types broken down into 77% Full Time, 8% Part Time, and 15% Contract. Highlights an 94% Physical, and 6% Remote job distribution, with an average salary of $37,403 per year, or $18 per hour.

Machine Learning Engineer Intern

Aivra Health LLC

$28 - $45/hr

Other

Posted 12 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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