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Remote Machine Learning Engineer Jobs in Charlotte, NC

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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 ...

Programmer - AI Trainer

Concord, NC · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Showing results 21-40

Remote Machine Learning Engineer information

See Charlotte, NC salary details

$31K

$126.7K

$190.4K

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

As of Sep 12, 2026, the average yearly pay for remote machine learning engineer in Charlotte, NC is $126,689.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,900.00 and $152,500.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What are the most commonly searched types of Machine Learning Engineer jobs in Charlotte, NC?

The most popular types of Machine Learning Engineer jobs in Charlotte, NC are:

What are popular job titles related to Remote Machine Learning Engineer jobs in Charlotte, NC?

For Remote Machine Learning Engineer jobs in Charlotte, NC, the most frequently searched job titles are:

What cities near Charlotte, NC are hiring for Remote Machine Learning Engineer jobs?

Cities near Charlotte, NC with the most Remote Machine Learning Engineer job openings:

Infographic showing various Remote Machine Learning Engineer job openings in Charlotte, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $125,771 per year, or $60.5 per hour.

Director, Data Scientist

Charlotte, NC • On-site, Remote

USAA
Finance and Insurance • 10K+ employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


USAA rating

8.2

Company rating: 8.2 out of 10

Based on 265 frontline employees who took The Breakroom Quiz


Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

As a dedicated Director, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions that generate actionable business insights and drive business value through automation, revenue generation, and the reduction of expenses and risk. You will work closely with business leaders to ideate, evaluate, and scope projects that address critical business needs. You will manage the team's project portfolio and communicate progress, outcomes, and key updates to senior leadership and other business stakeholders. Additionally, you will be responsible for the team's model inventory, ensuring compliance with USAA's model risk management policies and regulatory requirements. You will influence the future of data science at USAA by researching emerging technologies, identifying opportunities for innovation, and driving the adoption of advanced analytical capabilities across the organization.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position.

What you'll do:

  • Acts as advanced analytics thought leader and advisor to the business to shape strategies that drive competitiveness and differentiation.
  • Influences business, data, and technology leaders to invest, sustain and expand advanced analytical capabilities by actively participating in strategy, planning, and budgeting exercises.
  • Leads and develops team to build and deploy various advanced analytical solutions in an agile and collaborative environment across business, data, and technology organizations. Enables team's success by simplifying processes across the model development lifecycle and driving automation.
  • Identifies, scopes, and manages complex analytical projects in collaboration with business stakeholders, often translating results to non-technical business executives.
  • Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization.
  • Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations.
  • Partners with enterprise analytical and IT teams to build USAA core capabilities and processes.
  • Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts.
  • Builds and oversees a team of Data Scientists through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities.
  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

  • Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field; OR 4 years of relevant education and/or experience.
  • 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis.
  • 3 years of direct management experience.
  • Strong communication skills; demonstrated ability to interpret and translate complex technical information to diverse audiences.
  • Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.) commonly associated with delivery of Data Science solutions.
  • Experience in developing and reviewing modeling solutions based on broad range of techniques - e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques.
  • Demonstrated ability to apply best practices in modeling and machine learning techniques to solve business problems.
  • Demonstrated ability to write and review complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences.
  • A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).
  • Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization.

What sets you apart:

  • US military experience gained through military service or gained as a military spouse / domestic partner.
  • Financial Services industry experience.

Compensation range: The salary range for this position is: $189,370 - $361,950.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is 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, or status as a protected veteran.


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