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Machine Learning Engineer Opt Jobs in Raleigh, NC

Qualcomm

Machine Learning Compiler

Raleigh, NC · On-site

Job Summary : Qualcomm Technologies, Inc. is focused on advancing machine learning compiler ... Required : • Bachelor's degree in Computer Science, Electrical Engineering, or related field and ...

Deloitte

AI Solutions Architect

Raleigh, NC

$61.25 - $80.75/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Deloitte

Senior AI Engineer - SFL Scientific

Raleigh, NC · On-site

$101K - $139K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

CoVar

Software Engineer

Durham, NC · On-site

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

Qualcomm

CI Infrastructure Engineer

Raleigh, NC · On-site

$76K - $102K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: We are looking for an experienced CI Infrastructure Engineer to own and evolve the continuous integration (CI ...

CoVar

Software Engineer

Durham, NC

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 ...

RELX

Lead Data Scientist

Raleigh, NC

$104K - $174K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... GPT 3.5, OPT, BLOOM, etc. * Experience with reinforcement learning, prompt engineering ...

LexisNexis

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... GPT 3.5, OPT, BLOOM, etc. * Experience with reinforcement learning, prompt engineering ...

LexisNexis

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... GPT 3.5, OPT, BLOOM, etc. * Experience with reinforcement learning, prompt engineering ...

RELX Group plc

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... GPT 3.5, OPT, BLOOM, etc. * Experience with reinforcement learning, prompt engineering ...

LexisNexis

Manager Data Science

Raleigh, NC

$115K - $192K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... GPT 3.5, OPT, BLOOM, etc.). * Experience with reinforcement learning, prompt engineering ...

SINNOVATEK SERVICES LLC

Automations Engineer

Middlesex, NC · On-site

$95K - $125K/yr

... machine learning models. ● Work on projects using Python, C++, or similar to interface with ... engineering logs. ● Ensure safe and organized work areas in labs and on production floors. ● ...

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All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in Raleigh, NC

Machine Learning Engineer Opt information

See Raleigh, NC salary details

$30.6K

$125.2K

$188.1K

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

As of Jul 9, 2026, the average yearly pay for machine learning engineer opt in Raleigh, NC is $125,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $150,700.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What are some common challenges Machine Learning Engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.
What are popular job titles related to Machine Learning Engineer Opt jobs in Raleigh, NC? For Machine Learning Engineer Opt jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Opt jobs in Raleigh, NC look for? The top searched job categories for Machine Learning Engineer Opt jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Machine Learning Engineer Opt jobs? Cities near Raleigh, NC with the most Machine Learning Engineer Opt job openings:
Machine Learning Engineer Opt jobs near you
Machine Learning Compiler

Machine Learning Compiler

Qualcomm

Raleigh, NC • On-site

Full-time

Re-posted 4 days ago

Qualcomm rating

9.6

Company rating: 9.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 205 rated software companies

Job description

Job Summary:
Qualcomm Technologies, Inc. is focused on advancing machine learning compiler technologies for AI accelerators in the Cloud and Datacenter market. The role involves leading a team to innovate ML compiler optimization algorithms and managing projects while ensuring robust performance across diverse ML models and hardware targets.
Responsibilities:
• Drive innovation in ML compiler optimization algorithms, leveraging advanced mathematics, programming language theory, and modern compiler techniques.
• Oversee feature design, code reviews, and integration of compiler components into the AI software stack.
• Ensure robust testing, profiling, and performance tuning across diverse ML models and hardware targets.
• Manage and mentor a team of engineers, fostering technical growth and collaboration.
• Plan and execute projects to meet release deliverables, balancing tactical improvements with strategic roadmap goals.
• Coordinate cross-functional efforts with hardware, architecture, and AI framework teams.
• Shape the evolution of ML compiler technology within the organization, aligning with industry trends and internal product strategies.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Electrical Engineering, or related field and 10+ years of relevant experience
• Master’s degree and 8+ years of experience
• Ph.D. and 6+ years of experience in compiler development, ML systems, or related areas
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
• Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
• PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
Preferred:
• Strong background in compiler design (LLVM, optimization passes, IR transformations)
• Expertise in ML frameworks (PyTorch, ONNX) and graph-level optimizations
• Familiarity with ML hardware accelerators, memory hierarchies, and performance modeling
• Solid C++ programming skills
• Proven ability to lead teams and deliver complex software projects in fast-paced environments
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Qualcomm employees say

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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985

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