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Senior Machine Learning Software Engineer Jobs in North Carolina

CRC Group

Machine Learning Engineer

Charlotte, NC · On-site

$140 - $180/hr

## Machine Learning EngineerApplylocations: Charlotte NC - 600 S Tryon St.: Morrisville NC, 3015 ... Specific activities may change from time to time. 1. Develop customized coding, software ...

DomainTools

Senior Software Engineer

Raleigh, NC · On-site

$119K - $157K/yr

DomainTools is hiring a Senior Software Engineer to join our Engineering Team. This role is perfect ... Experience with data mining or machine learning techniques * Experience with text codec, encoding ...

DomainTools

Senior Software Engineer

Raleigh, NC · On-site

$119K - $157K/yr

Description DomainTools is hiring a Senior Software Engineer to join our Engineering Team. This ... Experience with data mining or machine learning techniques * Experience with text codec, encoding ...

DomainTools

Senior Software Engineer

Raleigh, NC · On-site +1

$119K - $157K/yr

DomainTools is hiring a Senior Software Engineer to join our Engineering Team. This role is perfect ... Experience with data mining or machine learning techniques * Experience with text codec, encoding ...

IXL Learning

Senior Software Engineer

Raleigh, NC · On-site

$119K - $157K/yr

IXL Learning is a leading EdTech company developing personalized learning products used by millions. They are seeking a Senior Software Engineer to help enhance existing educational products and ...

Tror AI for everyone

Software Engineer

Charlotte, NC · On-site

Job Position: - Senior Software Engineer Job Location: - Charlotte, NC (100% onsite) Job Type ... Conceptual understanding of machine learning fundamentals and model telemetry. Additional Skills

Sunergi Inc

$110K - $140K/yr

Be able to communicate collaboratively with Data Scientists and ML Software developers to ... Machine Learning applications. * You will develop data sets for POCs to demonstrate new insights.

The Hartford

Staff Software Engineer - AI

Charlotte, NC · On-site

$127K - $191K/yr

Senior Staff Software Engineer - IE07HE We're determined to make a difference and are proud to be ... Design and develop machine learning techniques that allow agents to learn from experience and adapt ...

Qualcomm

Machine Learning Compiler

Raleigh, NC · On-site

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

Qualcomm

Machine Learning Compiler

Raleigh, NC · 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 ...

The Hartford

Senior AI Machine Learning Engineer

Charlotte, NC · On-site

$119K - $157K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... The Hartfordis seeking aSenior AI Machine Learning Engineerwithin Employee Benefits Applied AI and ...

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Senior Machine Learning Software Engineer information

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

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

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

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

What is a senior machine learning software engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

What are some common challenges senior machine learning software engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.
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 are popular job titles related to Senior Machine Learning Software Engineer jobs in North Carolina? For Senior Machine Learning Software Engineer jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Software Engineer jobs in North Carolina look for? The top searched job categories for Senior Machine Learning Software Engineer jobs in North Carolina are:
What cities in North Carolina are hiring for Senior Machine Learning Software Engineer jobs? Cities in North Carolina with the most Senior Machine Learning Software Engineer job openings:
Senior Machine Learning Software Engineer jobs near you
Infographic showing various Senior Machine Learning Software Engineer job openings in North Carolina as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Applied Machine Learning Engineer (All Levels)

Allstate

Concord, NC

Full-time

Re-posted 17 days ago

Allstate Insurance rating

7.5

Company rating: 7.5 out of 10

Based on 564 frontline employees who took The Breakroom Quiz

217th of 304 rated insurance

Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Job Description

Join Allstate Technology Solutions, a pioneering force committed to revolutionizing the way our employees, agencies, and customers interact digitally. Our mission is to harness cutting-edge technology, innovative product design, and the power of artificial intelligence to create a worldclass customer experience. We aim to redefine the customer experience, ensuring consistency and operational efficiency across all touchpoints and channels.
Become a part of our story.
At Allstate Technology Solutions, you'll find a collaborative and dynamic team focused on exploring new capabilities and pushing the boundaries of what's possible. The team works in a continuous innovation cycle of ideas, research, testing, analysis, and delivery.
About the Role
As a Machine Learning Engineer at Allstate, you will design, build, and operate machine-learning models that deliver real business impact. You'll work across the full ML lifecycle-including data exploration, feature engineering, model building, deployment, monitoring, and ongoing improvement. Our team emphasizes pair programming and test-driven development to ensure high-quality, reliable solutions.
What You'll Do (Responsibilities Vary by Level)
Entry-Level (Consultant II): Support model development, data exploration, testing, and deployments; collaborate through pair programming and learning best practices.
Mid-Level (Senior Consultant I): Build and deploy production ML models, own key components of ML projects, and partner with cross-functional teams.
Senior-Level (Senior Consultant II): Lead end-to-end ML initiatives, architect ML pipelines, mentor junior engineers, and influence technical direction.

Education

Bachelor's degree (STEM preferred).

Experience

Entry-Level: 0-2 years (academic, internship, or professional).

Mid-Level: 3+ years building ML solutions.

Senior-Level: 3+ years deploying and operating ML systems.

Technical Skills

Python (pandas,numpy, scikit-learn) and software engineering foundations.

ML libraries:

-Experience with libraries such as scikit-learn,XGBoost,LightGBMrequired.

-Experience withPyTorch/TensorFlowisa plus.

SQL for data exploration and feature engineering.

Knowledge of model evaluation and interpretability (e.g., SHAP).

Willingness to learn Terraform, Java, and Typescript (no prior experiencerequired).

Soft Skills

Strong communicationand collaboration abilities.

Ability to work with technical and non-technical partners.

Leadership and mentoring experience for senior roles.

Preferred Qualifications

Spark or distributed computing.

Familiarity with APIs, containers, CI/CD, monitoring, drift detection.

MLflow, SageMaker, Azure ML, Docker, CI/CD.

AWS, Azure, or GCP cloud experience.

Experience with deep learning, NLP, computer vision, or LLM/RAG.

Prior ownership of end-to-end ML products.

Insurance or financial services experience.

#LI-PG1

Skills

Applied Machine Learning, Machine Learning (ML), Machine Learning Algorithms, Model Building, Model Development, Model Evaluation, Python (Programming Language), PyTorch, Structured Query Language (SQL), Tensorflow

Compensation

Compensation offered for this role is 110,000.00 - 181,025.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click "here" for information regarding the San Francisco Fair Chance Ordinance.


For jobs in Los Angeles, please click "here" for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

To view the "EEO Know Your Rights" poster click "here". This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.

To view the FMLA poster, click "here". This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company's policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee's ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.

When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.

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