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Weekend No Experience Machine Learning Jobs in Seattle, WA

Apple

AIML - Machine Learning Engineer, MIND

Seattle, WA

$142K - $263K/yr

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have ... Experience with building efficient ML models through HW/SW co-design. Experience crafting and ...

SynergisticIT

AI & Machine Learning Engineer

Seattle, WA · On-site

$130K - $156K/yr

SynergisticIT is looking for candidates interested in Python, machine learning, NLP, automation ... Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers ...

Zoom

Sr. Machine Learning Engineer - AI

Seattle, WA · On-site

$157.44 - $236.20/hr

Must have 3 years of experience in job offered or related occupation. Must have 3 years of ... No need to rush your application - take your time to ensure it's a good fit for your career goals.

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Weekend No Experience Machine Learning information

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

As of Aug 8, 2026, the average hourly pay for weekend no experience machine learning in Seattle, WA is $20.46, according to ZipRecruiter salary data. Most workers in this role earn between $18.61 and $20.77 per hour, depending on experience, location, and employer.

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.

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 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 popular job titles related to Weekend No Experience Machine Learning jobs in Seattle, WA? For Weekend No Experience Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Weekend No Experience Machine Learning jobs in Seattle, WA look for? The top searched job categories for Weekend No Experience Machine Learning jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Weekend No Experience Machine Learning jobs? Cities near Seattle, WA with the most Weekend No Experience Machine Learning job openings:
Weekend No Experience Machine Learning jobs near you
Infographic showing various Weekend No Experience Machine Learning job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $42,566 per year, or $20.5 per hour.

AIML - Machine Learning Engineer, MIND

Apple Inc.

Seattle, WA • On-site

$139.50 - $258.10/hr

Other

Medical, Dental, Retirement

Re-posted 29 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Seattle, Washington, United States Machine Learning and AI

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have an opportunity to be part of an ML innovation organization within Apple that has its roots in the computer vision research community. The team is well positioned for strategic contributions in the short-term (on well-known Apple products) and in the long-term (on highly ambitious, high-risk, high-reward projects). This role has a strong focus on shipping ML-based features and products. You'll innovate in the entire end-to-end ML production pipeline. This includes but is not limited to crafting creative approaches to datasets, model training, and on-device inference optimizations. Our ideal team member is fearless when it comes to trying new things and is willing to iterate on ideas. We value team members who can quickly prototype, iterating all the way to high-quality implementations.

Description

As a member of this team, you will use your background to:

  • Develop features and models to improve the capabilities of systems that use machine learning
  • Scale up model training, build data pipelines, and tuning to improve system performance
  • Review and implement pioneering machine learning algorithms
  • Build software that improves rate of experimentation
Minimum Qualifications
  • Proficient in Python and deep learning frameworks like PyTorch.
  • Experience with training ML models including deep learning based models.
  • Able to define metrics, evaluate ML models, and perform error analysis.
  • Familiar with recent advances in deep learning.
  • Bachelor's, Master's, or PhD or equivalent experience in Computer Science or a related field.
Preferred Qualifications
  • Experience with modeling vision problems in the areas of object detection, facial recognition, and/or temporal machine learning.
  • Experience with building efficient ML models through HW/SW co-design.
  • Experience crafting and defining datasets and metrics for novel tasks.
  • Experience with shipping ML features and products.
  • Excellent problem-solving and analytical skills with a thorough approach.
  • Most importantly: a strong curiosity, willingness to dive deep into unfamiliar problems, and an eagerness to learn and grow in a fast-evolving field.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

Apple accepts applications to this posting on an ongoing basis.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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