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Temporary Machine Learning Software Engineer Jobs in North Carolina

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

Machine Learning Compiler

Raleigh, NC ยท 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 ...

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

New

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

Posted today

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

New

Senior Vision Software Engineer

Raleigh, NC ยท On-site

$119K - $157K/yr

Develop and implement machine learning derived software to solve business problems. * Integrate ... Mentor junior software developers and provide guidance on best practices and advanced analytical ...

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

New

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

New

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

New

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Temporary Machine Learning Software Engineer information

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

AspectTemporary Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related fields; coding skillsBachelor's or Master's in CS, Statistics, or related fields; analytical skills
Work EnvironmentSoftware development teams, project-based rolesData analysis teams, research-focused roles
Employer & Industry UsageTech companies, startups, consulting firmsFinance, healthcare, tech, research institutions
Search & Comparison IntentOften compared for technical roles involving ML implementationCompared for data analysis and modeling expertise

The main difference is that a Temporary Machine Learning Software Engineer focuses on developing and deploying ML models within software projects, while a Data Scientist emphasizes data analysis, statistical modeling, and deriving insights from data. Both roles require strong technical skills, but their focus areas and typical tasks differ.

What are the most commonly searched types of Machine Learning Software Engineer jobs in North Carolina? The most popular types of Machine Learning Software Engineer jobs in North Carolina are:
What cities in North Carolina are hiring for Temporary Machine Learning Software Engineer jobs? Cities in North Carolina with the most Temporary Machine Learning Software Engineer job openings:
Senior Software Engineer - Cloud Platforms with Security Clearance

Senior Software Engineer - Cloud Platforms with Security Clearance

Zachary Piper Solutions, LLC

Raleigh, NC โ€ข On-site

$120K - $170K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New


Job description

Piper Companies is seeking a Senior Software Engineer - Cloud Platforms to join a growing software organization within the high-speed interconnect and electronics manufacturing industry in a hybrid position working onsite near Raleigh, NC. The ideal Senior Software Engineer - Cloud Platforms role is a high-impact opportunity for a technical leader who will architect and develop scalable data platforms that connect factory systems, manufacturing data, and engineering workflows to support next-generation, AI-driven datacenters. Responsibilities of the Senior Software Engineer - Cloud Platforms: * Design and build scalable, reliable data platforms and pipelines to support manufacturing and engineering systems. * Lead architecture decisions and establish best practices for performance, reliability, scalability, and maintainability. * Mentor and guide a team of engineers through code reviews, design sessions, and hands-on technical leadership. * Develop and maintain integrations across factory systems, test environments, and engineering tools. * Partner with cross-functional teams to align data solutions with business and operational needs. * Enable data analytics, reporting, and AI-driven insights to improve product quality, yield, and operational efficiency. * Drive continuous improvement of data infrastructure, tooling, and development standards. Qualifications of the Senior Software Engineer - Cloud Platforms: * 5-10 years of software engineering experience with demonstrated technical leadership responsibilities. * Must be eligible to work in the United States and obtain and maintain an Active U.S. Government Secret Clearance. * Proven experience designing, building, and scaling large-scale data systems and pipelines. * Strong background with cloud platforms such as AWS, Azure, or GCP. * Proficiency in at least one programming language such as Python, Java, or similar. * Hands-on experience building APIs, distributed systems, and data integration solutions. * Familiarity with data analytics platforms, reporting tools, and machine learning workflows. * Experience working in cross-functional engineering environments, including manufacturing or operations teams. * Strong communication skills with the ability to influence technical direction and architectural decisions. Compensation for the Senior Software Engineer - Cloud Platforms includes: * Salary range: $120,000 - $170,000 * Comprehensive benefits package including medical, dental, vision, 401(k), and paid time off This job opens for applications on 07/14/2026. Applications for this job will be accepted for at least 30 days from the posting date. Keywords: Senior Software Engineer, Cloud Platform Engineer, Platform Engineer, Senior Cloud Platform Engineer, Data Architecture, Data Pipelines, Manufacturing Systems, Factory Systems Integration, Cloud Data Engineering, AWS, Azure, GCP, Distributed Systems, API Development, Python, Java, Big Data, Data Platforms, ETL, ELT, Data Integration, Analytics Enablement, AI, Machine Learning, Operational Analytics, Engineering Systems, Scalable Systems, Technical Leadership, Mentorship, Cloud Architecture # LI-BR1 #LI-HYBRID