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Entry Level Machine Learning Engineer Jobs in Waxhaw, NC

AXS is seeking a Software Engineer to join our carbonhouse team in Charlotte, NC. This role will be ... Knowledge of machine learning fundamentals (training, fine-tuning, evaluation) * Experience with ...

... Machine Learning and Artificial Intelligence advancements Work with data engineers to design and construct data pipelines for reproducible analysis Leverage cloud computing technologies like ...

Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration

... Engineer focused on platform and infrastructure. The role emphasizes building and operating ... Familiarity with the machine learning lifecycle and model deployment workflows. * Experience ...

AXS is seeking a Software Engineer to join our carbonhouse team in Charlotte, NC. This role will be ... Knowledge of machine learning fundamentals (training, fine-tuning, evaluation) * Experience with ...

AXS is seeking a Software Engineer to join our carbonhouse team in Charlotte, NC. This role will be ... Knowledge of machine learning fundamentals (training, fine-tuning, evaluation) * Experience with ...

Data Scientist

Charlotte, NC · On-site

$60 - $65/hr

... machine learning (ML) pipelines using services such as Amazon SageMaker, AWS Glue, AWS Lambda, and Amazon S3. * Perform data collection, cleaning, and feature engineering to prepare datasets for ...

Engineer

Charlotte, NC · On-site

$110K - $120K/yr

... junior data engineers and lead code reviews. • Set up data governance, data quality, and ... machine learning models. TCS Employee Benefits Summary: Discretionary Annual Incentive.

Requirement/Must Have: * 1+ years of experience in software engineering with a focus on AI and machine learning. * Experience with agentic technologies and their applications. * Familiarity with ...

Gen AI Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... machine learning techniques and collaborate with technology teams to operationalize them into ... RAG architectures Prompt engineering & prompt chaining Conversational AI design patterns Strong ...

Gen AI Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... machine learning techniques and collaborate with technology teams to operationalize them into ... Prompt engineering & prompt chaining Conversational AI design patterns Strong programming ...

It's a developer position. Required Qualifications Strong experience in Machine Learning, NLP, Deep Learning, Statistical Modeling, understanding of machine learning techniques and algorithms. Strong ...

AI Observability Engineer Location: Charlotte, NC / Philadelphia, PA We are looking for an ... Develop machine learning models using PyTorch, Scikit-learn, and XGBoost. * Build analytics ...

Design and implement end-to-end machine learning ML pipelines using services such as Amazon SageMaker AWS Glue AWS Lambda and Amazon S3 * Perform data collection cleaning and feature engineering to ...

Showing results 41-60

Entry Level Machine Learning Engineer information

See Waxhaw, NC salary details

$27K

$62.4K

$106.1K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for entry level machine learning engineer in Waxhaw, NC is $62,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,300.00 and $70,600.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What cities near Waxhaw, NC are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Waxhaw, NC with the most Entry Level Machine Learning Engineer job openings:

Infographic showing various Entry Level Machine Learning Engineer job openings in Waxhaw, NC as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $62,362 per year, or $30 per hour.

Software Engineer

AXS

Charlotte, NC

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Job description

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events - from concerts and festivals to sports and theater - at some of the most iconic venues in the world. Since our founding in 2011, we've consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.

We're passionate about improving the fan experience and providing game-changing solutions for our clients, and we're always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment.  

AXS is seeking a Software Engineer to join our carbonhouse team in Charlotte, NC. This role will be geared toward someone with a strong interest in applied AI to help build intelligent, scalable systems. This role focuses on integrating AI capabilities into production software-bridging traditional engineering with modern machine learning and large language model (LLM) workflows.

You'll work on backend services, APIs, and data pipelines that power AI-driven features, while collaborating closely with product and design to bring those capabilities to life.

What You'll Do
  • Design, build, and maintain scalable backend systems and APIs
  • Integrate AI/ML capabilities into applications (LLMs, embeddings, classification, etc.)
  • Develop and optimize data pipelines for AI workflows
  • Implement retrieval-augmented generation (RAG) and context-aware systems
  • Evaluate and integrate third-party AI tools and services
  • Improve system performance, reliability, and cost efficiency
  • Write clean, maintainable, and well-tested code
  • Collaborate with cross-functional teams to ship AI-powered features
  • Contribute to architecture decisions and technical direction
Required Skills
  • Strong programming experience in one or more languages (e.g., Python, JavaScript/TypeScript, PHP, Go)
  • Experience building and maintaining backend systems and APIs
  • Familiarity with cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure
  • Experience working with databases (SQL and/or NoSQL)
  • Understanding of software design principles and system architecture
  • Familiarity with integrating AI APIs such as OpenAI or Anthropic
  • Basic understanding of:
    • Prompt engineering
    • Embeddings and vector search
    • Model limitations and evaluation
Bonus Skills
  • Experience building AI-powered applications in production
  • Familiarity with vector databases (e.g., Pinecone, Weaviate)
  • Experience with frameworks such as LangChain or LlamaIndex
  • Knowledge of machine learning fundamentals (training, fine-tuning, evaluation)
  • Experience with containerization (Docker) and orchestration (Kubernetes)
  • Exposure to event-driven or streaming architectures
  • Frontend experience (React, Next.js) is a plus but not required
How You Work
  • Strong problem-solver with attention to detail
  • Curious about emerging AI technologies and eager to experiment
  • Comfortable working in evolving, fast-paced environments
  • Focused on building reliable, production-ready systems
  • Communicates clearly with both technical and non-technical teammates
Example Projects
  • Building APIs that power AI-driven features (chat, summarization, recommendations)
  • Implementing a RAG pipeline for internal or customer-facing search
  • Creating services that orchestrate LLM workflows or agents
  • Optimizing latency and cost of AI inference in production
  • Developing tools to evaluate and monitor model performance

At AXS, we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but can't "check every box" in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles. 

Pay Scale: $92,000-$115,000

Bonus:  This position is eligible for a bonus under the current bonus plan requirements.

Benefits: Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings. Currently, full time employees are eligible for these benefits on the first day of employment.

*Employer does not offer work visa sponsorship for this position.

What's in it for You?

  • Extraordinary People - we're not kidding!
  • Meaningful Mission- Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
  • Development and Learning - Opportunities for learning and leveling up through training and education reimbursement.
  • Community & Belonging - A range of Employee Resource Groups (ERGs) that foster connection, inclusion, and professional growth. Access to meaningful volunteer opportunities and community engagement programs to make a positive impact beyond the workplace.

 

More about AXS

AXS, a subsidiary of AEG, sells millions of tickets each year for 1600+ premier venues, sports teams, and event organizers across North America, Europe, Asia, Australia and New Zealand. Headquartered in Downtown Los Angeles, California, AXS employs more than 900 professionals in multiple locations worldwide. In each location you'll find a team of dedicated, diverse employees (we've dubbed ourselves "Fanatix") who create groundbreaking products and services in a fun, fast-paced environment. 

To learn more about our culture and values, visit: https://solutions.axs.com/careers/

More about AEG

For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.
Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

We are dedicated to a diverse, inclusive and authentic workplace, so if you're excited about this role but can't "check every box" in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.

AEG reserves the right to change or modify the employee's job description whether orally or in writing, at any time during the employment relationship.  AEG may require an employee to perform duties outside their normal description.

AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions.  We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

 #LI-Hybrid