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Remote Machine Learning Compiler Engineer Jobs in North Carolina

Our team offerings leverage advanced analytics, machine learning algorithms, and technology ... data scientists, developers, and clinical experts to translate clients' business needs into ...

You will work closely with experimental scientists, device engineers, and software and operations ... Bonus: knowledge of machine learning models and-development cycle * Experience with NGS data and ...

Decision Scientist

Raleigh, NC · On-site +1

$118K - $178K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design, develop, and deploy machine learning models that support key decision points throughout the ... Partner closely with Data Engineering teams to build and maintain the data pipelines and workflows ...

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

Senior Data Analyst

Naples, NC · On-site +1

$82K - $103K/yr

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

Data Architect

Naples, NC · On-site +1

$61 - $78.50/hr

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You Have: * 5+ years of experience in data science or machine learning engineer roles * Experience ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Data Scientist

Raleigh, NC · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

... and software engineering. Identifies patterns and looks for opportunities for optimization ... A specialization in machine-learning, artificial intelligence, cognitive science or data science is ...

New

Senior Data Engineer Con II

Concord, NC · On-site +1

$98K - $134K/yr

Experience supporting analytical, reporting, or machine learning use cases. Supervisory ... Skills Apache Spark, Data Engineering, Python (Programming Language), Structured Query Language ...

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Implement end-to-end machine learning models and deliver stakeholder-facing analytical outputs by ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

$103K - $140K/yr

Implement end-to-end machine learning models and deliver stakeholder-facing analytical outputs by ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Data Engineer

Fayetteville, NC · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0236980 Location: Fayetteville,NC,US Share job via: Share Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and artificial ...

Showing results 41-60

Remote Machine Learning Compiler Engineer information

What is a remote machine learning compiler engineer?

A Remote Machine Learning Compiler Engineer is a software engineer who specializes in developing and optimizing compilers specifically for machine learning workloads, while working from a remote location. Their primary responsibilities include designing and implementing compiler features that translate machine learning models into efficient code for various hardware platforms, such as CPUs, GPUs, or specialized accelerators. They collaborate closely with machine learning researchers, hardware engineers, and software developers to ensure high performance and compatibility. In addition to strong programming skills, they typically require expertise in compiler theory, machine learning frameworks, and hardware architectures. This role allows for flexible, location-independent work while contributing to cutting-edge AI technologies.

How does a remote machine learning compiler engineer typically collaborate with cross-functional teams to optimize model deployment?

As a Remote Machine Learning Compiler Engineer, you will frequently collaborate with data scientists, hardware engineers, and software developers to ensure that machine learning models are efficiently compiled and deployed on target platforms. Communication often takes place through virtual meetings, code reviews, and shared documentation tools. You'll be responsible for translating research models into optimized code, troubleshooting performance bottlenecks, and integrating feedback from various stakeholders. Effective teamwork is crucial, as the success of deployments often depends on iterative feedback and close alignment with both the ML research and hardware teams.

What are the key skills and qualifications needed to thrive as a remote machine learning compiler engineer, and why are they important?

To thrive as a Remote Machine Learning Compiler Engineer, you need a strong background in computer science, proficiency in programming languages like C++ and Python, and expertise in compiler theory and machine learning frameworks. Familiarity with ML compilers such as TVM or XLA, and experience using version control and CI/CD systems are commonly required, along with a relevant bachelor's or master's degree. Outstanding problem-solving, collaboration, and communication skills are essential for working effectively in distributed teams and across technical domains. These skills and qualities enable the development of efficient, scalable ML solutions that bridge software and hardware, ensuring high performance and innovation.

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

AspectRemote Machine Learning Compiler EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Software Engineering, or related fields; knowledge of compiler design and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis
Work EnvironmentPrimarily software development, compiler optimization, and ML model deploymentData analysis, model building, and interpretation of results
Industry UsageTech companies, AI startups, hardware firms focusing on ML hardware accelerationTech, finance, healthcare, and research organizations

While both roles involve working with machine learning, the Remote Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Remote Data Scientist concentrates on analyzing data and building predictive models. The roles share some technical skills but differ in their core responsibilities and work environments.

What are the most commonly searched types of Machine Learning Compiler Engineer jobs in North Carolina?

The most popular types of Machine Learning Compiler Engineer jobs in North Carolina are:

What job categories do people searching Remote Machine Learning Compiler Engineer jobs in North Carolina look for?

The top searched job categories for Remote Machine Learning Compiler Engineer jobs in North Carolina are:

What cities in North Carolina are hiring for Remote Machine Learning Compiler Engineer jobs?

Cities in North Carolina with the most Remote Machine Learning Compiler Engineer job openings:

AI Solutions Delivery 3 (Remote)

IQVIA

Durham, NC • Remote

Full-time

Posted 20 days ago


IQVIA rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

62nd of 224 rated it services


Job description

This is an exciting opportunity to work as a Senior Consultant in IQVIA, one of the world's leading multi-disciplinary and cross-functional teams working with Real World patient data to help our client base answer their key business questions, make more informed decisions, and deliver results. Our team offerings leverage advanced analytics, machine learning algorithms, and technology platforms for a variety of healthcare applications including finding undiagnosed patients with rare conditions, predicting patient behavior, such as switching, and understanding a patient's diagnosis and treatment journey through the health system.

As part of this team, you will be at the forefront of evolving the team's offerings while assuming the following responsibilities:

Note: This role is ideal for professionals who enjoy solving business problems and working with clients. You will act as the liaison between clients and technical teams, helping define use cases, prioritize requirements, and translate complex analytical concepts into actionable business recommendations, rather than performing hands-on data science or machine learning development.

Essential Functions
Business Development Support:
o Research clients' business problems and find potential solutions through our offerings, while supporting proposals and client pitches. Work closely with internal stakeholders from around the business to ensure the proposed solution is truly innovative and provides an exciting value proposition to clients.

Project Manager & Mentor:
o Oversee the design and delivery of advanced statistical/machine learning projects such as predictive modeling, patient journeys, HCP targeting, and HCP alerts. You will be responsible for multi-disciplinary projects involving other consultants, data scientists, developers, and clinical experts to translate clients' business needs into analytical problems and deliver the findings in clinically and commercially meaningful interpretations. Throughout the process, you will apply problem solving and critical thinking, intellectual engagement, project management, and maturity in communication.
o Serve as project manager and lead larger or more complex customer projects dependent on AIML solutions/offerings. This includes managing timelines, project staff, margins, issue resolution, and creating/reviewing and presenting relevant project materials (e.g., methodology documentation, PowerPoint presentations for client meetings, etc.)
o Manage, mentor, and teach junior staff directly on projects
o Establish strong credibility and build a relationship with the customer

Team Support:
o Supports creation of project road maps required to deploy completed solutions; contributes to product improvements and growth through regular feedback to Product Owners
o Support the team by helping to scope and execute new offerings and establish best practices to share with the broader team
o Support and take ownership of various internal initiatives including: project automation and standardization, mentorship of new employees, recruitment, thought leadership, and team building.

Qualifications
BA/BSc preferably related to life sciences, chemistry, economics, business, engineering, mathematics, statistics, or computer science
6-8 years experience
A postgraduate qualification in life sciences, statistics or a related discipline is desirable although not essential

Desired Skills
Strong capability in managing analytics projects and priorities so that deadlines are met while retaining consistently high-quality deliverables
Interest in working on GenAI/agentic workstreams
Experience in healthcare/life sciences with focus on strategic business cases for analytics services or products
Experience analyzing and interpreting various types of patient level data preferred
Basic ability to extract, transform, analyze data through SQL/python helpful, but not required
A deep understanding of the application of statistics/machine learning in healthcare/life sciences and the pharmaceutical industry or excitement to upskill in these areas
Ability to think through and effectively communicate analytical and clinical concepts and problems
Experience managing multi-disciplinary teams
Experience developing credible relationships with senior level managers and executives
Knowledge of key issues and current developments in the healthcare and life sciences industries
Strong PowerPoint and Excel skills, ability to storyboard and translate technical concepts into clear, concise messaging for various customer audiences

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more athttps://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $111,400.00 - $278,500.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

What IQVIA employees say

Pay

Benefits

Hours and flexibility

Workplace

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IQVIA logo

About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US