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No Experience Machine Learning Jobs in Renton, 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 ...

Apple Inc.

AIML - Machine Learning Research

Seattle, WA · On-site

$142.30 - $263.30/hr

Seattle, Washington, United States Machine Learning and AI Apple is where individual imaginations ... Every new product we build, service we create, or Apple Store experience we deliver is the result ...

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

As of Aug 19, 2026, the average hourly pay for no experience machine learning in Renton, WA is $25.67, according to ZipRecruiter salary data. Most workers in this role earn between $22.16 and $28.65 per hour, depending on experience, location, and employer.

What kinds of projects or learning opportunities can I expect in a no experience machine learning role?

In a no experience machine learning role, you will often start by assisting with data preprocessing, exploring datasets, and supporting more experienced engineers on real-world projects. You may also participate in internal trainings, mentorship programs, or hands-on workshops to build up your technical skills. Collaboration is common, so expect regular team meetings and opportunities to pair-program or seek guidance from senior colleagues. Over time, as you gain proficiency, you may be assigned small-scale projects or research tasks, providing a clear pathway to take on more complex responsibilities. This supportive environment is designed to help you gradually develop expertise and advance your career in machine learning.

What are the key skills and qualifications needed to thrive in the no experience machine learning position, and why are they important?

To thrive in an entry-level machine learning role with no prior experience, you should possess a solid understanding of mathematics (especially statistics and linear algebra), basic programming knowledge (often in Python), and a willingness to learn. Familiarity with popular data science tools and frameworks such as scikit-learn, TensorFlow, or online courses and certifications in machine learning is advantageous. Curiosity, problem-solving abilities, and effective communication are soft skills that help you work collaboratively and adapt to new challenges. These attributes are important because they enable quick learning, help you contribute to team projects, and support your growth in a rapidly evolving technical field.

Can you get a machine learning job with no experience?

Entry-level machine learning roles often require some knowledge of programming, statistics, and data analysis, but many employers are willing to hire candidates with little to no experience if they demonstrate strong foundational skills and a willingness to learn. Building a portfolio through online courses, projects, and certifications can improve chances of securing such positions. Internships and apprenticeships are also common pathways for those new to the field.

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No Experience Machine Learning jobs near you
Infographic showing various No Experience Machine Learning job openings in Renton, WA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $53,393 per year, or $25.7 per hour.

AIML - Machine Learning Engineer, MIND

Apple Inc.

Seattle, WA • On-site

$139.50 - $258.10/hr

Other

Medical, Dental, Retirement

Re-posted 10 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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