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Machine Learning Engineer New Grad Jobs in Acworth, GA

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... new approaches Required Qualifications PhD (preferred) or Master's degree in Computer Science ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well ...

Workday

Sr Machine Learning Engineer

Atlanta, GA

$159K - $276K/yr

... Machine Learning driven features with Python (including NumPy, SciPy, Pandas, TensorFlow, Pytorch) Other Qualifications: * Strong programming skills in Python with proficiency in relevant libraries ...

AppFolio

Sr. Machine Learning Engineer

Atlanta, GA

$100K - $138K/yr

It enables a new generation of intelligent capabilities across our products, including Realm-X ... Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ...

Speria

Machine Learning Operations Engineer

Atlanta, GA · On-site

$120 - $180/hr

The MLOps Engineer works closely with Machine Learning Engineers and Data Engineers to ensure that models and decisioning systems are production-ready, observable, cost-efficient, and seamlessly ...

Omaze

Staff Machine Learning Engineer - Search

Atlanta, GA · On-site

$159 - $208.95/hr

As a Staff Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our ... The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well ...

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All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Acworth, GA

Machine Learning Engineer New Grad information

See Acworth, GA salary details

$28.1K

$114.9K

$172.7K

How much do machine learning engineer new grad jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning engineer new grad in Acworth, GA is $114,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,600.00 and $138,400.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What job categories do people searching Machine Learning Engineer New Grad jobs in Acworth, GA look for?

The top searched job categories for Machine Learning Engineer New Grad jobs in Acworth, GA are:

What cities near Acworth, GA are hiring for Machine Learning Engineer New Grad jobs?

Cities near Acworth, GA with the most Machine Learning Engineer New Grad job openings:

Machine Learning Engineer New Grad jobs near you

Industrial Automation & Machine Learning Engineer

Shaw Industries Group, Inc.

Cartersville, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 hours ago

Job description

Job Title
Industrial Automation & Machine Learning Engineer
Position Overview
Shaw Industries is seeking an Industrial Automation and Machine Learning Engineer to develop and scale software and data solutions that connect our production floor to actionable insights across our Commercial manufacturing division. This role focuses on industrial automation, manufacturing data, and OT system integration, supporting multiple plants and enabling operational excellence at scale.
The ideal candidate has a strong background in manufacturing automation and industrial systems-including PLCs, SCADA, and industrial networking-along with experience building manufacturing applications using platforms such as Ignition and Machine Learning. This is not an IT or consumer software role; it is a hands-on manufacturing systems position centered on machinery, process data, and production environments.
This role will work closely with automation engineers and plant teams to deliver standardized tools, alerts, dashboards, and integrations that improve quality, reliability, and efficiency across Shaw's manufacturing operations.
Position Responsibilities
  • Ensure seamless integration of software with existing OT/IT infrastructure.
  • Develop software that adheres to established best practices and standards, including thorough documentation and meaningful code comments.
  • Contribute to the development and refinement of best practices and standards for software and automation systems - a strong plus.
  • Collaborate with cross-functional teams to understand equipment and automation systems.
  • Train manufacturing and technical teams on the use of developed systems and tools, and support knowledge-sharing around emerging process control technologies.
  • Support hardware automation initiatives as needed.
  • Manage and budget capital projects related to automation and data systems.
  • Collaborate with plant leadership to identify opportunities.

Key Competencies
  • Influence Others
  • Innovate
  • Adapt And Change
  • Demonstrate Inclusive Leadership
  • Deliver Compelling Communication

Position Requirements
  • Bachelor's degree in software engineering or related field. Other engineering degrees may be considered with relevant experience.
  • Proficient in one or more programming languages commonly used in automation and data systems, i.e Machine Learning
  • Proficient in designing, querying, and maintaining databases.
  • Experience with enterprise-level data platforms and visualization tools.
  • Working knowledge of industrial equipment and data acquisition systems.
  • Strong problem-solving and analytical skills.
  • Excellent communication and project management abilities.
  • On-call, weekend, and holiday support as needed.
  • Some travel is required across the division.

Preferred Skills
  • 3-5 years of experience in manufacturing automation.
  • Knowledge of control systems, PLCs, and industrial networking.
  • Experience with Ignition by Inductive Automation.
  • Experience with APIs (e.g., web service calls, MQTT).
  • Experience with Rockwell Software (e.g., RSLogix 500, Studio 5000).
  • Experience with Siemens Software (e.g., TIA Portal).
  • Exposure to AI technologies in manufacturing, such as platforms like Databricks or similar, used to analyze process data, build predictive models, detect anomalies, or optimize performance.

Shaw benefits include:
  • Medical, dental, vision insurance and Pet insurance
  • Life insurance and disability coverage
  • Tuition reimbursement
  • Employee assistance program
  • Health savings account
  • Paid Time Off
  • Parental Leave
  • 401K and Retirement Plans
  • Product discounts for employees
  • Gym membership discounts
  • Adoption assistance
  • Shaw Family Health Center (Dalton, GA, and Cartersville, GA, locations)
  • And much more.

Shaw Industries Group, Inc. is a wholly owned subsidiary of Berkshire Hathaway, and is a global leader in delivering carpet, hardwood, tile & stone, laminate, synthetic turf, and other specialty products to residential and commercial markets worldwide. We are committed to creating a better future for our customers, our people, our company, and our communities.
#LI-CL1
#ShawIND
Work Shift
8 Hr non-rotating shift, Hrs fall to in punch day, Observed Calendar, shift starts AM
Shaw Industries is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.

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