Seattle, WA · On-site
$175 - $308.50/hr
Seattle, Washington, United States Machine Learning and AI Our team delivers algorithms that power ... Experience with PyTorch * BS degree and 10+ years of experience Preferred Qualifications * Passion ...
Seattle, WA · On-site
$175 - $308.50/hr
Seattle, Washington, United States Machine Learning and AI Our team delivers algorithms that power ... Experience with PyTorch * BS degree and 10+ years of experience Preferred Qualifications * Passion ...
Should have at least 1 year of experience in below skills. * C#, data structures, and basic ... Only US Citizen, Green Card Holder, GC-EAD, H4-EAD & L2-EAD can apply. 3. No OPT-EAD, H1B & TN ...
Should have at least 1 year of experience in below skills. * C#, data structures, and basic ... Only US Citizen, Green Card Holder, GC-EAD, H4-EAD & L2-EAD can apply. 3. No OPT-EAD, H1B & TN ...
Seattle, WA · On-site
$120K - $180K/yr
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 ...
Seattle, WA · On-site
$120K - $180K/yr
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 ...
$120K - $180K/yr
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 ...
$120K - $180K/yr
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 ...
Seattle, WA · On-site
$120K - $180K/yr
Proven experience deploying machine learning models into production. * Strong software engineering ... skills in Python and C++. * Experience with cloud platforms, containerization (Docker), and MLOps ...
Quick apply
Seattle, WA · On-site
$120K - $180K/yr
Proven experience deploying machine learning models into production. * Strong software engineering ... skills in Python and C++. * Experience with cloud platforms, containerization (Docker), and MLOps ...
Seattle, WA · On-site
$95 - $135/hr
Proven experience deploying machine learning models into production. * Strong software engineering ... skills in Python and C++. * Experience with cloud platforms, containerization (Docker), and MLOps ...
Seattle, WA · On-site
$95 - $135/hr
Proven experience deploying machine learning models into production. * Strong software engineering ... skills in Python and C++. * Experience with cloud platforms, containerization (Docker), and MLOps ...
Bellevue, WA · On-site
$161.14 - $200/hr
Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do As a Machine Learning Engineer on the AI Research and Development team, the ...
Bellevue, WA · On-site
$161.14 - $200/hr
Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do As a Machine Learning Engineer on the AI Research and Development team, the ...
Bellevue, WA · On-site
$161.14 - $200/hr
Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do As a Machine Learning Engineer on the AI Research and Development team, the ...
New
Bellevue, WA · On-site
$161.14 - $200/hr
Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do As a Machine Learning Engineer on the AI Research and Development team, the ...
New
Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do As a Machine Learning Engineer on the AI Research and Development team, the ...
Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do As a Machine Learning Engineer on the AI Research and Development team, the ...
Bellevue, WA · On-site
Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do As a Machine Learning Engineer on the AI Research and Development team, the ...
Bellevue, WA · On-site
Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do As a Machine Learning Engineer on the AI Research and Development team, the ...
Bellevue, WA · On-site
$161.14 - $200/hr
Our office experience is intentional, energizing, and designed to fully support high‑performing teams. What you'll do As a Machine Learning Engineer on the AI Research and Development team, the ...
Bellevue, WA · On-site
$161.14 - $200/hr
Our office experience is intentional, energizing, and designed to fully support high‑performing teams. What you'll do As a Machine Learning Engineer on the AI Research and Development team, the ...
Bellevue, WA · On-site +1
$117K - $152K/yr
We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Working closely with experienced engineers and researchers, you'll contribute to systems that ...
Bellevue, WA · On-site +1
$117K - $152K/yr
We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Working closely with experienced engineers and researchers, you'll contribute to systems that ...
$175K - $308K/yr
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
$175K - $308K/yr
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Seattle, WA · On-site
$139.50 - $258.10/hr
Description We are seeking a machine learning research engineer with experience building modern generative models based on diffusion and auto-regressive technologies. The ideal candidate has solid ML ...
Seattle, WA · On-site
$139.50 - $258.10/hr
Description We are seeking a machine learning research engineer with experience building modern generative models based on diffusion and auto-regressive technologies. The ideal candidate has solid ML ...
Seattle, WA · On-site
This immersive experience will not only sharpen your technical skills but also cultivate your ... Amazon has positions available for Machine Learning Applied Science Internships in, but not limited ...
Seattle, WA · On-site
This immersive experience will not only sharpen your technical skills but also cultivate your ... Amazon has positions available for Machine Learning Applied Science Internships in, but not limited ...
Seattle, WA · On-site
... in Machine Learning, you'll have the opportunity to work alongside renowned scientists and ... This immersive experience will not only sharpen your technical skills but also cultivate your ...
Seattle, WA · On-site
... in Machine Learning, you'll have the opportunity to work alongside renowned scientists and ... This immersive experience will not only sharpen your technical skills but also cultivate your ...
Instacart is a Flex First team There's no one-size fits all approach to how we do our best work ... Experience in applying machine learning and optimization techniques to solve marketplace problems ...
Instacart is a Flex First team There's no one-size fits all approach to how we do our best work ... Experience in applying machine learning and optimization techniques to solve marketplace problems ...
Instacart is a Flex First team There's no one-size fits all approach to how we do our best work ... Experience in applying machine learning and optimization techniques to solve marketplace problems ...
Instacart is a Flex First team There's no one-size fits all approach to how we do our best work ... Experience in applying machine learning and optimization techniques to solve marketplace problems ...
Instacart is a Flex First team There's no one-size fits all approach to how we do our best work ... Experience in applying machine learning and optimization techniques to solve marketplace problems ...
Instacart is a Flex First team There's no one-size fits all approach to how we do our best work ... Experience in applying machine learning and optimization techniques to solve marketplace problems ...
Seattle, WA · On-site
$139.50 - $258.10/hr
Experience with training ML models including deep learning based models. * Able to define metrics ... machine learning. * Experience with building efficient ML models through HW/SW co-design.
Seattle, WA · On-site
$139.50 - $258.10/hr
Experience with training ML models including deep learning based models. * Able to define metrics ... machine learning. * Experience with building efficient ML models through HW/SW co-design.
$15.87 - $17.63
3% of jobs
$17.63 - $19.40
7% of jobs
$19.40 - $21.16
6% of jobs
$22.49 is the 25th percentile. Wages below this are outliers.
$21.16 - $22.93
11% of jobs
$22.93 - $24.70
13% of jobs
The median wage is $25.63 / hr.
$24.70 - $26.46
18% of jobs
$26.46 - $28.23
16% of jobs
$28.34 is the 75th percentile. Wages above this are outliers.
$28.23 - $29.99
9% of jobs
$29.99 - $31.76
6% of jobs
$31.76 - $33.52
7% of jobs
$33.52 - $35.29
3% of jobs
$15
$25
$35
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.
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.
$175 - $308.50/hr
Other
Medical, Dental, Retirement
Re-posted 15 days ago
8.0
Based on 677 frontline employees who took The Breakroom Quiz
7th of 30 rated technology retailers
Seattle, Washington, United States Machine Learning and AI
Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS technologies. In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation and motion impacting millions of users.
DescriptionApple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics applications. We are actively involved in the whole ML cycle from data collection design and data processing to model design and experiments to validation and QA in the wild. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features on visionOS and iOS platforms. In this role, you will work closely with other ML engineers as well as data and software engineers both internally and multi-functionally.
Minimum QualificationsAt 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 $175,000 and $308,500, 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.
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
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.
Computer and electronic product manufacturing
10,000+ Employees
Cupertino, CA, US
1976
