Machine Learning Engineer
$147K - $272K/yr
Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next ... and overnight vitals to millions of Apple Watch users. Description This role is ideal for an ...
Machine Learning Engineer
$147K - $272K/yr
Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next ... and overnight vitals to millions of Apple Watch users. Description This role is ideal for an ...
Interface with external vendors and partners to integrate their technology into the team's autonomy ... Senior Machine Learning Engineer Job Qualifications: * Typically requires a bachelors, masters ...
Interface with external vendors and partners to integrate their technology into the team's autonomy ... Senior Machine Learning Engineer Job Qualifications: * Typically requires a bachelors, masters ...
Machine Learning Engineer III
Poway, CA · On-site
$116K - $208K/yr
Interface with external vendors and partners to integrate their technology into the team's autonomy ... May substitute equivalent machine learning engineer experience in lieu of education. * Must have an ...
Machine Learning Engineer III
Poway, CA · On-site
$116K - $208K/yr
Interface with external vendors and partners to integrate their technology into the team's autonomy ... May substitute equivalent machine learning engineer experience in lieu of education. * Must have an ...
Machine Learning Engineer Responsibilities: Develop machine learning workflows to enable an Azure ... Conduct POCs with different vendors in data science and machine learning space. Gather requirements ...
Machine Learning Engineer Responsibilities: Develop machine learning workflows to enable an Azure ... Conduct POCs with different vendors in data science and machine learning space. Gather requirements ...
Machine Learning Engineer Location: Fort Belvoir, VA (5 days onsite) Duration: Long-Term Contract ... Be a trusted advisor to the Government to ensure all third-party vendors' platforms and code ...
Quick apply
Machine Learning Engineer Location: Fort Belvoir, VA (5 days onsite) Duration: Long-Term Contract ... Be a trusted advisor to the Government to ensure all third-party vendors' platforms and code ...
Work closely with vendors supplying tooling for equipment or parts in your department * Attend ... Experience in defining machine tooling specifications and optimization * Programming experience ...
Work closely with vendors supplying tooling for equipment or parts in your department * Attend ... Experience in defining machine tooling specifications and optimization * Programming experience ...
Manufacturing Engineer - Machine & Grind
Fond Du Lac, WI · On-site
$117K/yr
Work closely with vendors supplying tooling for equipment or parts in your department * Attend ... Experience in defining machine tooling specifications and optimization * Programming experience ...
Manufacturing Engineer - Machine & Grind
Fond Du Lac, WI · On-site
$117K/yr
Work closely with vendors supplying tooling for equipment or parts in your department * Attend ... Experience in defining machine tooling specifications and optimization * Programming experience ...
Work closely with vendors supplying tooling for equipment or parts in your department * Attend ... Experience in defining machine tooling specifications and optimization * Programming experience ...
Work closely with vendors supplying tooling for equipment or parts in your department * Attend ... Experience in defining machine tooling specifications and optimization * Programming experience ...
... quality engineers to apply machine learning and computer vision to industrial problems and ... with vendors to maintain schedule and ramp dates- Occasionally wear multiple hats: technical ...
... quality engineers to apply machine learning and computer vision to industrial problems and ... with vendors to maintain schedule and ramp dates- Occasionally wear multiple hats: technical ...
Industrial Machine Learning Engineer
$212K - $318K/yr
... with vendors to maintain schedule and ramp dates - Occasionally wear multiple hats: technical ... engineering field Minimum Qualifications 12+ years of solid hands-on experience applying machine ...
Industrial Machine Learning Engineer
$212K - $318K/yr
... with vendors to maintain schedule and ramp dates - Occasionally wear multiple hats: technical ... engineering field Minimum Qualifications 12+ years of solid hands-on experience applying machine ...
Execute builds in collaboration with prototype assemblers and tooling engineers * Troubleshoot machine-related issues impacting build quality or cycle time * Support scaling of builds from Early ...
Quick apply
Execute builds in collaboration with prototype assemblers and tooling engineers * Troubleshoot machine-related issues impacting build quality or cycle time * Support scaling of builds from Early ...
Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that are ... Partner with EDA tool vendors to develop / evaluate new methodologies for EMIR analysis * Develop ...
Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that are ... Partner with EDA tool vendors to develop / evaluate new methodologies for EMIR analysis * Develop ...
Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that are ... Partner with EDA tool vendors to develop / evaluate new methodologies for EMIR analysis * Develop ...
Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that are ... Partner with EDA tool vendors to develop / evaluate new methodologies for EMIR analysis * Develop ...
Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that are ... Partner with EDA tool vendors to develop / evaluate new methodologies for EMIR analysis * Develop ...
Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that are ... Partner with EDA tool vendors to develop / evaluate new methodologies for EMIR analysis * Develop ...
Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that are ... Partner with EDA tool vendors to develop / evaluate new methodologies for EMIR analysis * Develop ...
Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that are ... Partner with EDA tool vendors to develop / evaluate new methodologies for EMIR analysis * Develop ...
... Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ... This warehouse-based role supports the preparation of machines to meet customer-specific ...
... Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ... This warehouse-based role supports the preparation of machines to meet customer-specific ...
... Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ... This warehouse-based role supports the preparation of machines to meet customer-specific ...
... Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ... This warehouse-based role supports the preparation of machines to meet customer-specific ...
Machine Learning Engineer - Computer Vision
$220K - $250K/yr
... vendor APIs are sufficient. * Collaborate with software engineers, data engineers, and product ... machine learning models to production (not just training them). * Experience with computer vision ...
Machine Learning Engineer - Computer Vision
$220K - $250K/yr
... vendor APIs are sufficient. * Collaborate with software engineers, data engineers, and product ... machine learning models to production (not just training them). * Experience with computer vision ...
This will allow vendors to offload risk and eliminate tens of billions of waste - while giving ... The Role As the founding MLE on the Risk Engineering & Capital Products team, you'll own credit ...
This will allow vendors to offload risk and eliminate tens of billions of waste - while giving ... The Role As the founding MLE on the Risk Engineering & Capital Products team, you'll own credit ...
This will allow vendors to offload risk and eliminate tens of billions of waste - while giving ... The Role As the founding MLE on the Risk Engineering & Capital Products team, you'll own credit ...
This will allow vendors to offload risk and eliminate tens of billions of waste - while giving ... The Role As the founding MLE on the Risk Engineering & Capital Products team, you'll own credit ...
Overnight Vending Machine Engineer information
See salary details
$31.5K - $46.2K
1% of jobs
$46.2K - $61K
1% of jobs
$61K - $75.7K
5% of jobs
$75.7K - $90.4K
6% of jobs
$102.6K is the 25th percentile. Wages below this are outliers.
$90.4K - $105.1K
14% of jobs
$105.1K - $119.9K
14% of jobs
The median wage is $127.2K / yr.
$119.9K - $134.6K
18% of jobs
$134.6K - $149.3K
14% of jobs
$152.3K is the 75th percentile. Wages above this are outliers.
$149.3K - $164K
12% of jobs
$164K - $178.8K
11% of jobs
$178.8K - $193.5K
5% of jobs
$31.5K
$128.8K
$193.5K
How much do overnight vending machine engineer jobs pay per year?
As of Jun 9, 2026, the average yearly pay for overnight vending machine engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Overnight Vending Machine Engineer jobs? Cities with the most Overnight Vending Machine Engineer job openings:
What are the most commonly searched types of Vending Machine Engineer jobs? The most popular types of Vending Machine Engineer jobs are:
What states have the most Overnight Vending Machine Engineer jobs? States with the most job openings for Overnight Vending Machine Engineer jobs include:
$147K - $272K/yr
Full-time
Medical, Dental, Retirement
Posted 6 days ago
Apple rating
8.1
Based on 661 frontline employees who took The Breakroom Quiz
6th of 30 rated technology retailers
Job description
Apple’s Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal processing, and emerging generative AI techniques. Our team has delivered impactful features including heart rate notifications, ECG, blood oxygen, sleep apnea notifications, and overnight vitals to millions of Apple Watch users.
Description
This role is ideal for an engineer who enjoys moving quickly from idea to prototype to product, creatively overcoming data limitations, and applying new tools to multi-modal sensor fusion problems in health and wellness. You will work across the full algorithm lifecycle including data strategy, modeling, evaluation, optimization, and deployment.","responsibilities":"Develop and validate ML and GenAI-driven algorithms for health sensing applications from concept through productization
Prototype and compare multiple approaches using real and synthetic data to accelerate algorithm development
Design experiments and evaluation methodologies to quantify performance and guide algorithm improvements
Optimize algorithms for robustness, efficiency, and on-device deployment constraints
Work cross-functionally with user studies, hardware, software, and product teams to bring algorithms into product
Analyze failure modes, quantify tradeoffs, and drive data-driven algorithm improvements
Preferred Qualifications
Experience developing algorithms for physiological sensing using multi-modal data
Familiarity with on-device ML frameworks or resource-constrained optimization
Experience working with incomplete, noisy, or limited datasets
Background in experimental design and statistical validation
Experience with distributed or cloud-based ML workflows
Experience accelerating development through simulation, synthetic data, or creative data augmentation approaches
Self-driven, curious engineer comfortable taking ambiguous sensing problems from concept to working solutions
Minimum Qualifications
Bachelors degree in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or related field, or equivalent industry experience.
Strong foundation in machine learning, statistics, signal processing, or applied mathematics for real-world sensing problems
Experience applying modern AI techniques, including generative AI and agentic AI, to accelerate algorithm development, data generation, and performance evaluation
Proficiency in Python for algorithm development and optimization
Demonstrated ability to rapidly prototype, evaluate multiple approaches, and iterate based on experimental results
Experience owning algorithm development from early exploration through validation and integration
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 $147,400 and $272,100, 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.
Description
This role is ideal for an engineer who enjoys moving quickly from idea to prototype to product, creatively overcoming data limitations, and applying new tools to multi-modal sensor fusion problems in health and wellness. You will work across the full algorithm lifecycle including data strategy, modeling, evaluation, optimization, and deployment.","responsibilities":"Develop and validate ML and GenAI-driven algorithms for health sensing applications from concept through productization
Prototype and compare multiple approaches using real and synthetic data to accelerate algorithm development
Design experiments and evaluation methodologies to quantify performance and guide algorithm improvements
Optimize algorithms for robustness, efficiency, and on-device deployment constraints
Work cross-functionally with user studies, hardware, software, and product teams to bring algorithms into product
Analyze failure modes, quantify tradeoffs, and drive data-driven algorithm improvements
Preferred Qualifications
Experience developing algorithms for physiological sensing using multi-modal data
Familiarity with on-device ML frameworks or resource-constrained optimization
Experience working with incomplete, noisy, or limited datasets
Background in experimental design and statistical validation
Experience with distributed or cloud-based ML workflows
Experience accelerating development through simulation, synthetic data, or creative data augmentation approaches
Self-driven, curious engineer comfortable taking ambiguous sensing problems from concept to working solutions
Minimum Qualifications
Bachelors degree in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or related field, or equivalent industry experience.
Strong foundation in machine learning, statistics, signal processing, or applied mathematics for real-world sensing problems
Experience applying modern AI techniques, including generative AI and agentic AI, to accelerate algorithm development, data generation, and performance evaluation
Proficiency in Python for algorithm development and optimization
Demonstrated ability to rapidly prototype, evaluate multiple approaches, and iterate based on experimental results
Experience owning algorithm development from early exploration through validation and integration
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 $147,400 and $272,100, 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.
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