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Ml Inference Jobs in Raleigh, NC (NOW HIRING)

SAS

DevOps Engineer

Cary, NC

$49.25 - $67.50/hr

Support deployment of training and inference pipelines in Cloud environments for Secure ... Knowledge of Docker or containerized ML workflows * Knowledge CUDA enabled systems and GPU ...

SAS

DevOps Engineer

Cary, NC · On-site

$49.25 - $67.50/hr

Support deployment of training and inference pipelines in Cloud environments for Secure, compliance ... Knowledge of Docker or containerized ML workflows * Knowledge CUDA enabled systems and GPU ...

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All JobsMl Inference JobsMl Inference Jobs in Raleigh, NC

Ml Inference information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do ml inference jobs pay per year?

As of Jun 24, 2026, the average yearly pay for ml inference in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

What is ML inference?

ML inference refers to the process of using a trained machine learning model to make predictions or decisions based on new data. After a model has been trained on historical data, inference is the phase where that model is deployed and used in real-world applications, such as recognizing speech, detecting objects in images, or recommending products. The focus in ML inference is on speed, efficiency, and scalability to ensure quick predictions, often in real time. This process is critical for practical applications like mobile apps, web services, and embedded systems. Optimizing inference involves reducing latency, memory usage, and computational requirements.

What is the difference between Ml Inference vs Data Scientist?

AspectML InferenceData Scientist
Required CredentialsKnowledge of machine learning models, programming skillsDegree in data science, statistics, or related fields
Work EnvironmentDeploying models in production, real-time data processingData analysis, model development, research
Industry UsageAI product deployment, software companiesResearch institutions, tech firms, consulting

ML Inference focuses on deploying trained models to make predictions on new data, often in real-time. Data Scientists develop and analyze models, working primarily in research and development. While both roles require understanding of machine learning, ML Inference emphasizes deployment and operationalization, whereas Data Scientists focus on model creation and analysis.

Which 3 jobs will survive AI?

For ML Inference roles, jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to persist, such as data scientists, AI ethics specialists, and machine learning engineers. These roles involve tasks that are difficult to automate and often require specialized skills, domain knowledge, and critical thinking. Continuous learning and expertise in AI tools and programming languages like Python or TensorFlow can also enhance job security in this field.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, specialized skills in deep learning, and strong industry demand can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level typically requires advanced degrees, certifications, and a proven track record of impactful projects.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch. These positions usually involve leadership responsibilities, strategic planning, and may require multiple years of specialized experience or advanced degrees.

Is ML a high paying job?

Machine Learning (ML) inference roles are generally well-paid due to the specialized skills required, such as knowledge of algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but they tend to be higher than average for tech positions. Advanced roles often require proficiency with tools like TensorFlow or PyTorch and may include certifications or advanced degrees.

What are some common challenges faced by ML Inference Engineers when deploying models to production?

ML Inference Engineers often encounter challenges such as optimizing model latency and throughput to meet production requirements, ensuring compatibility with diverse hardware environments, and managing model versioning and updates without disrupting service. Additionally, balancing resource utilization and inference accuracy while monitoring real-time performance metrics is crucial. Collaboration with data scientists, DevOps, and software engineers is typically essential to streamline deployment and maintain robust, scalable inference pipelines.

What are the key skills and qualifications needed to thrive in ML Inference, and why are they important?

To thrive in ML Inference, you need a solid background in machine learning principles, programming (Python or C++), and experience with deploying models at scale, often supported by a degree in computer science or a related field. Familiarity with frameworks and tools such as TensorFlow, PyTorch, ONNX, and cloud platforms like AWS SageMaker or Google AI Platform is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and optimizing model performance. These skills ensure efficient, scalable, and reliable deployment of machine learning solutions in real-world applications.
What are popular job titles related to Ml Inference jobs in Raleigh, NC? For Ml Inference jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Ml Inference jobs in Raleigh, NC look for? The top searched job categories for Ml Inference jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ml Inference jobs? Cities near Raleigh, NC with the most Ml Inference job openings:
Ml Inference jobs near you
Infographic showing various Ml Inference job openings in Raleigh, NC as of June 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $119,312 per year, or $57.4 per hour.
AI/ML - Senior Software Engineer, Machine Translation

AI/ML - Senior Software Engineer, Machine Translation

Apple

Cary, NC • On-site

$113K - $149K/yr

Full-time

Posted 11 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 662 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Do you want to work with us on the next revolution in human-computer interaction? The Apple Machine Translation team is building the groundbreaking technology that enables connecting people across language barriers. We are looking for exceptional Software Engineers passionate about delighting customers' experiences and pushing the envelope on Machine Learning, Embedded, and Distributed Computing.
Description
You will be primarily responsible for developing our low-level frameworks and services that connect state-of-the-art Machine Learning models and inference engines to the variety of Translation experiences across all of our platforms! You will be working with many partner teams including Asset delivery, Phone/FaceTime and Messages.
To succeed in this role, you are a strong programmer and a creative problem solver who enjoys learning new things. You are passionate about developing new features, maintaining existing code, fixing bugs, and contributing to overall system design. You are a great teammate who thrives in a dynamic environment with rapidly changing priorities.
Minimum Qualifications
3+ years development experience with Objective-C
Experience in object-oriented software design and programming
Framework-level programming including multi-threaded architectures and cross-process communication
Accomplished debugging and problem-solving skills
Strong testing discipline
Excellent communication and collaborative skills
B.S. or M.S. in Computer Science or related field with 4+ years of industrial working experience
Preferred Qualifications
5+ years development experience with Objective-C
Experience with Swift & SwiftUI
Project Leadership

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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