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Entry Level Machine Learning Engineer Jobs in Georgia

Machine Learning Engineer Department: Engineering, Research & Development Reports to: Metallurgical and Materials R&D Lab Manager Location: Grovetown, GA, USA (onsite) Shift: First FLSA Status:

Machine Learning Engineer**### **KSB GIW, Inc.**### **Department:** Engineering, Research & Development **Reports to:** Metallurgical and Materials R&D Lab Manager **Location:** Grovetown, GA, USA ...

Machine Learning Engineer KSB GIW, Inc. Department: Engineering, Research & Development Reports to: Metallurgical and Materials R&D Lab Manager Location: Grovetown, GA, USA (onsite) Shift: First FLSA ...

Machine Learning Engineer

Atlanta, GA · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

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Entry Level Machine Learning Engineer information

See Georgia salary details

$25.3K

$58.6K

$99.6K

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

As of Aug 20, 2026, the average yearly pay for entry level machine learning engineer in Georgia is $58,568.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $66,300.00 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 are the most commonly searched types of Machine Learning Engineer jobs in Georgia?

The most popular types of Machine Learning Engineer jobs in Georgia are:

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Georgia?

For Entry Level Machine Learning Engineer jobs in Georgia, the most frequently searched job titles are:

What cities in Georgia are hiring for Entry Level Machine Learning Engineer jobs?

Cities in Georgia with the most Entry Level Machine Learning Engineer job openings:

Infographic showing various Entry Level Machine Learning Engineer job openings in Georgia as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $58,568 per year, or $28.2 per hour.

Machine Learning Engineer

KSB GIW, Inc.

Grovetown, GA • On-site

$70 - $110/hr

Other

Posted 5 days ago


Job description

Machine Learning Engineer

Department: Engineering, Research & Development

Reports to: Metallurgical and Materials R&D Lab Manager

Location: Grovetown, GA, USA (onsite)

Shift: First

FLSA Status: Salary Exempt

Overview

Our R&D group is expanding its use of machine learning to solve real engineering problems, and we’re looking for a sharp, hands‑on early‑career engineer to join the team. You’ll work at the intersection of machine learning and the physical world to build AI systems that learn from real industrial data and connect with the engineering models behind them.

The role lives where machine learning meets scientific computing: surrogate modeling, data‑driven approximations of physical systems, and ML models that respect the underlying engineering principles. You’ll build the data foundation that powers this work, implement and train models that bridge physics‑based simulation with modern machine learning, and work closely with an experienced technical lead who will guide your growth across data engineering, scientific ML, and emerging AI tooling.

Responsibilities
  • Build and maintain the data foundation: ingestion, cleaning, transformation, validation, and metadata standards
  • Implement and train machine learning models using Python and modern frameworks (PyTorch)
  • Contribute to applied AI tooling that supports the broader R&D workflow
  • Develop visualization and dashboard interfaces that present results to end users
  • Run experiments, track results, and report findings against defined targets
  • Help bring prototype code to production quality: testing, documentation, version control
  • Collaborate with team members across engineering disciplines
Qualifications
  • Education: Bachelor’s degree required; master’s preferred in Computer Science, Engineering, Applied Math, Physics, or a related field
  • Experience: 1–3 years of professional or substantial project experience in machine learning, data engineering, or scientific computing
  • Skills / Competencies:
    • Solid Python skills with hands‑on experience using core libraries: Machine learning (PyTorch, scikit‑learn), Data (NumPy, pandas), Scientific computing (SciPy, Matplotlib)
    • Foundational understanding of scientific computing: numerical methods, simulation concepts, or modeling of physical systems
    • Foundational understanding of neural networks, model training, and optimization
    • Experience with version control (Git) and working in a Linux environment
    • Strong written and verbal communication skills
    • Collaborative, coachable attitude
  • Preferred:
    • Experience building and maintaining data pipelines, metadata schemas, and data quality frameworks
    • Exposure to scientific / physics‑informed machine learning (surrogate modeling, embedding physical constraints into ML models)
    • Background in CFD, simulation, computational mechanics, or applied physics
    • Familiarity with agentic AI / LLM frameworks (LangChain, LangGraph, or similar) – enough to collaborate effectively, not lead
    • Experience with Jupyter, Docker, MLflow, or FastAPI
    • Front‑end / dashboard development experience (React)
    • Cloud compute (AWS or Azure) and GPU‑based training
    • Coursework or research projects in numerical methods, engineering, or applied science
Physical Requirements

Primarily desk‑type duty.

KSB Group is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

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