ML Software Engineer Visa Sponsorship Jobs in North Carolina
North Carolina's ML software engineer hiring is concentrated in Research Triangle Park, where companies like Red Hat, Lenovo, and SAS Institute operate major engineering centers, alongside Charlotte's growing fintech sector. The state's proximity to Duke, UNC, and NC State feeds a strong talent pipeline, and employers across these hubs actively sponsor H-1B and other work visas for qualified ML engineers.
See All ML Software Engineer JobsOverview
Showing 5 of 79+ ML Software Engineer Jobs in North Carolina with Visa Sponsorship jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 79+ ML Software Engineer Jobs in North Carolina with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Software Engineer Jobs in North Carolina with Visa Sponsorship.
Get Access To All JobsJob Description
The Asset Management Technology, Graph Technology Team is seeking a highly motivated Full Stack/Machine Learning Engineer. You are passionate about building and deploying production-grade AI applications in the finance domain. In this role, you will be a key technical contributor, owning the entire lifecycle of ML-powered applications. You will collaborate closely with investment professionals (such as quants and portfolio managers) to design, build, deploy, and maintain end-to-end solutions that drive investment decisions.
THE EXPERTISE AND SKILLS YOU BRING
- An advanced degree or equivalent experience in Software Engineering, Computer Science, or a related technical field.
- 4+ years of experience in a full-stack software or machine learning engineering role, with a proven track record of shipping end-to-end ML products.
- Strong proficiency in building scalable backend services and APIs (e.g., using FastAPI, Flask, or gRPC) to serve machine learning models.
- Hands-on experience building and deploying applications using modern AI technologies such as Generative AI, Large Language Models (LLMs), Vector Databases, Graph Databases (e.g., Neo4j), and Information Retrieval systems.
- Deep understanding of the full MLOps lifecycle, including model evaluation, performance tuning, CI/CD for ML using tools like Jenkins, containerization (Docker, Kubernetes), and monitoring of models in production.
- Experience with modern cloud platforms (e.g., AWS, Azure, GCP) and their associated ML services.
- Experience building and managing data pipelines and job scheduling using tools like Airflow, Autosys, or similar.
- Proficiency in agile coding principles and expertise in writing high-quality, production-ready Python code.
- Proficient programming skills in Python and SQL, with experience working with large-scale databases.
- Ability to translate complex technical concepts and model results to non-technical audiences.
- Passionate about staying ahead of the industry with the latest advancements in AI and software engineering, and eager to drive innovation.
- Nice to have: Familiarity with a front-end framework (e.g., Streamlit, React, Vue) for rapid prototyping and building user interfaces.
THE TEAM
The Quant technology team is at the frontier of Fidelity Technology and delivers scalable, innovative, industry-leading investment tools that enable Asset Management to achieve a global advantage. Our work in this groundbreaking initiative will contribute significantly to Asset Management's investment performance and scale and efficiency objectives.
COMPENSATION
- The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please consult with your recruiter for the specific expectations for this position.
Certifications:
Category:
Information Technology
Job Description
The Asset Management Technology, Graph Technology Team is seeking a highly motivated Full Stack/Machine Learning Engineer. You are passionate about building and deploying production-grade AI applications in the finance domain. In this role, you will be a key technical contributor, owning the entire lifecycle of ML-powered applications. You will collaborate closely with investment professionals (such as quants and portfolio managers) to design, build, deploy, and maintain end-to-end solutions that drive investment decisions.
THE EXPERTISE AND SKILLS YOU BRING
- An advanced degree or equivalent experience in Software Engineering, Computer Science, or a related technical field.
- 4+ years of experience in a full-stack software or machine learning engineering role, with a proven track record of shipping end-to-end ML products.
- Strong proficiency in building scalable backend services and APIs (e.g., using FastAPI, Flask, or gRPC) to serve machine learning models.
- Hands-on experience building and deploying applications using modern AI technologies such as Generative AI, Large Language Models (LLMs), Vector Databases, Graph Databases (e.g., Neo4j), and Information Retrieval systems.
- Deep understanding of the full MLOps lifecycle, including model evaluation, performance tuning, CI/CD for ML using tools like Jenkins, containerization (Docker, Kubernetes), and monitoring of models in production.
- Experience with modern cloud platforms (e.g., AWS, Azure, GCP) and their associated ML services.
- Experience building and managing data pipelines and job scheduling using tools like Airflow, Autosys, or similar.
- Proficiency in agile coding principles and expertise in writing high-quality, production-ready Python code.
- Proficient programming skills in Python and SQL, with experience working with large-scale databases.
- Ability to translate complex technical concepts and model results to non-technical audiences.
- Passionate about staying ahead of the industry with the latest advancements in AI and software engineering, and eager to drive innovation.
- Nice to have: Familiarity with a front-end framework (e.g., Streamlit, React, Vue) for rapid prototyping and building user interfaces.
THE TEAM
The Quant technology team is at the frontier of Fidelity Technology and delivers scalable, innovative, industry-leading investment tools that enable Asset Management to achieve a global advantage. Our work in this groundbreaking initiative will contribute significantly to Asset Management's investment performance and scale and efficiency objectives.
COMPENSATION
- The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please consult with your recruiter for the specific expectations for this position.
Certifications:
Category:
Information Technology
ML Software Engineer Job Roles in North Carolina
See all 79+ ML Software Engineer Jobs in North Carolina
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search ML Software Engineer Jobs in North CarolinaML Software Engineer Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for ML software engineers in North Carolina?
Several major employers in North Carolina have consistent H-1B sponsorship histories for ML software engineer roles. In Research Triangle Park, companies like SAS Institute, Red Hat, Lenovo, and Cisco sponsor regularly. Charlotte-based financial institutions including Bank of America and Wells Fargo also sponsor ML engineering talent. Bioscience and healthtech firms in the RTP corridor, such as Novo Nordisk and Labcorp, are additional active sponsors.
Which visa types are most common for ML software engineer roles in North Carolina?
The H-1B is by far the most common visa for ML software engineers in North Carolina, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, or a related field. L-1B visas appear in intracompany transfers at large multinationals like Lenovo and Cisco. Some candidates on F-1 OPT also transition to employer-sponsored H-1B status after initial hire.
Which cities in North Carolina have the most ML software engineer sponsorship jobs?
Research Triangle Park and the surrounding Raleigh-Durham metro account for the largest concentration of ML software engineer sponsorship jobs in North Carolina, driven by a dense cluster of tech, life sciences, and enterprise software companies. Charlotte is the second major hub, particularly in fintech and data-driven financial services. Smaller pockets of ML engineering activity exist in Greensboro and Chapel Hill near university campuses.
How to find ml software engineer visa sponsorship jobs in North Carolina?
Migrate Mate is built specifically for this search. You can filter by role and state to surface ML software engineer positions in North Carolina where employers have demonstrated sponsorship willingness. Because sponsorship is not always advertised explicitly in job postings, using a platform focused on visa sponsorship jobs, like Migrate Mate, helps you avoid wasting time on applications from employers unlikely to sponsor.
Are there any state-specific considerations for ML software engineers pursuing visa sponsorship in North Carolina?
North Carolina's Research Triangle benefits from one of the country's strongest university-to-industry pipelines, with NC State, Duke, and UNC producing large cohorts of ML and AI graduates annually. This creates competitive hiring conditions, but also means many employers in the region are experienced with sponsoring international candidates. Employers filing H-1B petitions must pay the Department of Labor's prevailing wage for the specific role and location, which is determined by occupation and geographic area rather than a uniform statewide rate.
What is the prevailing wage for sponsored ml software engineer jobs in North Carolina?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
See which ml software engineer employers are hiring and sponsoring visas in North Carolina right now.
Search ML Software Engineer Jobs in North Carolina