1

Machine Learning Engineer Software Engineer Jobs in Raleigh, NC

... staff engineers to lead software projects suffusing knowledge of the user throughout Apple ... machine learning, privacy preserving system design, and more. You will be a hands on, technical ...

Machine Learning Compiler

Raleigh, NC · On-site

$160K - $240K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Lead a team of ... Solid C++ programming skills * Proven ability to lead teams and deliver complex software projects ...

Software Engineer About CoVar CoVar is a small, mission-driven AI/ML R&D software company based in ... We build advanced software and machine learning systems that help the Department of Defense detect ...

They are seeking a motivated Software Engineer to develop and maintain applications that involve data processing and machine-learning algorithm integration. Responsibilities : • develop and ...

Job Summary : Qualcomm Technologies, Inc. is focused on advancing machine learning compiler ... Software Engineering, Systems Engineering, or related work experience • Master's degree in ...

IXL Learning, developer of personalized learning products used by millions of people globally, is seeking Software Engineers who have a passion for technology and education to help us add new ...

IXL Learning, developer of personalized learning products used by millions of people globally, is seeking Software Engineers who have a passion for technology and education to help us add new ...

next page

Showing results 1-20

Machine Learning Engineer Software Engineer information

See Raleigh, NC salary details

$61.7K

$143.4K

$199.8K

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

As of Jul 8, 2026, the average yearly pay for machine learning engineer software engineer in Raleigh, NC is $143,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,600.00 and $168,200.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Engineer Software Engineer vs Data Scientist?

AspectMachine Learning EngineerSoftware Engineer
Required CredentialsBachelor's/Master's in CS, specialized ML coursesBachelor's in CS or related field
Work EnvironmentDevelops ML models, algorithms, data pipelinesBuilds software applications, systems, APIs
Industry UsageAI/ML projects, data-driven solutionsWeb, mobile, enterprise software

Machine Learning Engineers focus on designing and deploying ML models, requiring expertise in algorithms and data handling. Software Engineers develop broader software applications, emphasizing coding and system architecture. While both roles require programming skills, ML Engineers specialize in AI/ML tasks, whereas Software Engineers work across various software domains.

How do Machine Learning Engineer Software Engineers typically collaborate with data scientists and software development teams?

Machine Learning Engineer Software Engineers often serve as a bridge between data scientists and software development teams. They work closely with data scientists to understand and implement machine learning models, ensuring that the models are production-ready and scalable. Additionally, they collaborate with software engineers to integrate these models into existing applications, monitor their performance, and address any engineering challenges. This cross-functional collaboration is essential for delivering robust, end-to-end AI solutions that add real value to the business.
AIML - Staff Machine Learning Engineer

AIML - Staff Machine Learning Engineer

Apple

Cary, NC

$216K - $394K/yr

Full-time

Medical, Dental, Retirement

Re-posted 20 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 667 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers


Job description

Would you like to play a part in the next revolution in human-computer interaction? Come build the future with the Apple Knowledge & Information team. Help lead the creation of a truly personalized user experience, one that adapts to the unique needs and habits of each individual.
Description
The Apple Knowledge & Information (AKI) Entity Resolution team is looking for senior and staff engineers to lead software projects suffusing knowledge of the user throughout Apple’s products.
Building this system requires deep expertise in a myriad of cutting edge fields: search, natural language understanding, data engineering, machine learning, privacy preserving system design, and more. You will be a hands on, technical leader as your team partners with a variety of subject matter experts to design, build, and integrate their components into a seamless platform for creating personalized Siri experiences that surprise and delight.","responsibilities":"Engage with leaders and cross-functional partners to define requirements
Partner with application developers to build personalized features users love
Build entity resolution APIs that Siri application developers love
Lead highly cross-functional software projects
Mentor junior software engineers
Partner with application owners on API design, implementation, and integration
Validate new platform features by leading early adoption
Preferred Qualifications
5+ years professional experience developing for Apple’s platforms
Experience building voice computing systems or subsystems (e.g. ASR, NL, TTS, Voice Assistants, etc)
Swift or Objective-C experience preferred (Rust, C++, or similar also acceptable)
Experience building machine learning based systems
Mobile and / or embedded development experience
Minimum Qualifications
8 years of professional software experience
BS in computer science or related fields
Experience leading software engineering teams and / or projects
Experience designing and shipping novel systems architectures
Passion for great products
Exceptional software engineering skills
Ability to identify similar software solutions and generalize them into libraries / frameworks / platforms
Ability to work in a highly collaborative environment
Ability and desire to lead a small teams of high impact engineers
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 $216,200 and $394,000, 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.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

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