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Entry Level Machine Learning Engineer Jobs in Bellevue, 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 an opportunity to be part of an ML innovation organization within Apple that has its roots in the ...

Chewy

Machine Learning Engineer III

Bellevue, WA · On-site

The Chewy Sponsored Ads team is looking for a Senior Machine Learning Engineer in Bellevue, WA to help launch various innovative ads offerings for our sponsored advertisement initiatives. As ...

Chewy

Machine Learning Engineer III

Bellevue, WA · On-site +1

$148K - $225K/yr

The Chewy Sponsored Ads team is looking for a Senior Machine Learning Engineer in Bellevue, WA to help launch various innovative ads offerings for our sponsored advertisement initiatives. As ...

Chewy

Staff Machine Learning Engineer

Bellevue, WA · On-site

$186K - $265K/yr

At Chewy, Sponsored Ads team is looking for a Senior Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite sponsored ads. As a member to the Sponsored ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Bellevue, WA

Entry Level Machine Learning Engineer information

See Bellevue, WA salary details

$33.7K

$77.9K

$132.4K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for entry level machine learning engineer in Bellevue, WA is $77,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $88,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Bellevue, WA? The most popular types of Machine Learning Engineer jobs in Bellevue, WA are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Bellevue, WA? For Entry Level Machine Learning Engineer jobs in Bellevue, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Bellevue, WA look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Bellevue, WA are:
What cities near Bellevue, WA are hiring for Entry Level Machine Learning Engineer jobs? Cities near Bellevue, WA with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Bellevue, WA as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $77,851 per year, or $37.4 per hour.

AIML - Machine Learning Engineer, MIND

Apple Inc.

Seattle, WA • On-site

$139.50 - $258.10/hr

Other

Medical, Dental, Retirement

Re-posted 28 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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Benefits

Hours and flexibility

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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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