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Weekend No Experience Machine Learning Jobs (NOW HIRING)

Experience in machine learning model development and engineering. * Expertise in one or more of the following areas: multimodal machine learning NLP or agentic AI, planning, control and reinforcement ...

Machine Learning Compiler

New York, NY · On-site

$140K - $211K/yr

Preferred Qualifications: • Master's degree in Computer Science, Engineering, Information Systems, or related field. • 1+ year of experience with Machine Learning frameworks (e.g., Tensor Flow ...

Research, design, and implement machine learning algorithms to optimize workflow automation ... Experience with modern deep learning models, particularly large language models (LLMs) and ...

Required : • Expertise in Python (including NumPy, pandas, and other packages) • Experience with either PyTorch or TensorFlow • Deep understanding of machine learning fundamentals (gradient ...

Experience in machine learning model development and engineering. * Expertise in one or more of the following areas: multimodal machine learning NLP or agentic AI, planning, control and reinforcement ...

Minimum of 2 years of experience in a data science role. Proficiency in programming languages such as Python or R.. Strong understanding of machine learning techniques and algorithms. Preferred ...

$140 - $210/hr

Research, design, and implement machine learning algorithms to optimize workflow automation ... Experience with modern deep learning models, particularly large language models (LLMs) and ...

Experience:** 1-3 years of professional or substantial project experience in machine learning, data engineering, or scientific computing**SKILLS / COMPETENCIES**## Required:* Solid Python skills with ...

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 ...

In this role, you will work alongside experienced engineers and data scientists to build, deploy, and maintain machine learning models. This is an excellent opportunity for someone early in their ...

Machine Learning Engineer

Ashburn, VA · On-site

$110 - $170/hr

The ideal candidate will bring hands‑on experience in machine learning, advanced analytics, and AI‑driven product development, with the ability to turn complex data into practical ...

Machine Learning Engineer

Miami, FL · On-site

$80 - $120/hr

The Machine Learning Researcher should be interested in Financial Markets, and will be directly ... Join our team and experience the synergy that comes from working together in person, while also ...

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 ...

Experience: 1-3 years of professional or substantial project experience in machine learning, data engineering, or scientific computing SKILLS / COMPETENCIES Required: * Solid Python skills with hands ...

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Weekend No Experience Machine Learning information

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$11

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$28

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

As of Aug 22, 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 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 are the key skills and qualifications needed to thrive as a weekend no experience machine learning professional?

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 starting a weekend no experience machine learning role?

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 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:

Infographic showing various Weekend No Experience Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $37,403 per year, or $18 per hour.

Machine Learning Engineer

Tapestry

Mountain View, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago


Tapestry Inc. rating

8.0

Company rating: 8.0 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

1st of 104 rated fashion retailers


Job description

About Tapestry
Tapestry is a group within Google working to build the AI-powered electric grid. We are tackling one of the world's most important infrastructure challenges: helping the energy system become more visible, understandable, reliable, affordable, abundant, and clean.
Originally born at X, Alphabet's moonshot factory, Tapestry brings together experts in energy, AI, software engineering, and products to build tools that help the electricity ecosystem plan smarter, move faster, and operate more efficiently.
This is a global effort. Tapestry supports partners across the U.S., U.K., Chile, New Zealand, Australia, and Brazil as they work toward a cleaner, more resilient energy future.
Joining Tapestry means doing high-impact work with a multidisciplinary team tackling a problem that matters at global scale. Learn more about our team and our mission here.
About the role:
We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex challenges that face today's electric grid. You will work closely with other Machine Learning Engineers, Data Scientists and Software Engineers across diverse ML domains spanning multimodal machine learning, information retrieval, natural language processing and agentic AI.
How you will make 10x impact:
  • Train, and deploy machine learning models in production environments.
  • Work with senior team members to develop enterprise quality ML systems, spanning multiple ML domains
  • Operationalize ML model training at serving at enterprise scale
  • Stay abreast of the latest advancements in machine learning

What you should have:
  • Master's Degree/Bachelor's Degree in Machine Learning, Computer Science, Statistics or related field
  • Experience in machine learning model development and engineering.
  • Expertise in one or more of the following areas: multimodal machine learning NLP or agentic AI, planning, control and reinforcement learning
  • Strong programming skills in Python and experience with ML frameworks like PyTorch or TensorFlow.
  • Experience with building and deploying ML systems at scale, OR a proven ability to perform applied ML research and develop the state of the art in an academic setting

It'd be great if you also had these:
  • PhD in Machine Learning, Computer Science, Statistics, or a related field
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • A strong portfolio of projects demonstrating ML expertise.

Our values
  • Take charge: We take initiative and own outcomes that move the mission forward.
  • Transform with purpose: We build solutions that solve real problems and create meaningful impact.
  • Be a Tapestry, not a thread: We collaborate across diverse skills and perspectives to achieve more than we can individually.
  • Always fine-tune: We stay curious, seek feedback, and refine our understanding as we learn.
  • Stay grounded: We listen openly, value different perspectives, and stay focused on what matters most.

What we offer
A culture that supports growth, ownership, and meaningful impact, along with:
  • Competitive salary and equity
  • Medical, dental, and vision coverage
  • Generous PTO and flexible hybrid work model
  • 401(k) with employer contribution
  • Professional development
  • The ability to work on important real-world problems within an Alphabet-backed environment

The US base salary range for this full-time position is $166,000 - $244,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

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