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Entry Level Software Engineer Machine Learning Jobs in Seattle, WA

Apple

AIML - Machine Learning Engineer, MIND

Seattle, WA

$139.50K - $258.10K/yr

... software that improves rate of experimentation Preferred Qualifications Experience with modeling vision problems in the areas of object detection, facial recognition, and/or temporal machine learning.

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

Farmers use our software every day to make critical decisions and run more efficient, profitable ... We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions ...

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

Farmers use our software every day to make critical decisions and run more efficient, profitable ... We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions ...

Sonsoft Inc

C# / Machine Learning

Redmond, WA

Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development ... Machine Learning, Deep Learning/neural networks. * Data mining. * Azure ML, Cortana Intelligence.

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

As of May 31, 2026, the average yearly pay for entry level software engineer machine learning in Seattle, WA is $119,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $136,600.00 per year, depending on experience, location, and employer.
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Entry Level Software Engineer Machine Learning jobs near you
AIML - Machine Learning Engineer, MIND

AIML - Machine Learning Engineer, MIND

Apple

Seattle, WA

$139.50K - $258.10K/yr

Full-time

Medical, Dental, Retirement

Posted 21 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

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
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.
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.
Pay & Benefits
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.

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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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