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Machine Learning Quantum Computing Jobs in Stone Mountain, GA

Equifax, Inc.

Machine Learning Engineer

Atlanta, GA · On-site

Equifax is excited to add a Machine Learning Engineer to our team. What you'll do * Design complex ... Cloud Computing - Proficiency in data architecture design, data strategy development, data ...

Omnissa

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$162K - $342K/yr

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems ... Experience with distributed computing frameworks (e.g., Spark, Ray). * Experience with ...

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 ... scientific computing environments a plus Strong mathematical foundation in linear algebra ...

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 ... Deep understanding and knowledge of data structures, distributed computing, and software ...

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 ... Deep understanding and knowledge of data structures, distributed computing, and software ...

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 ... Deep understanding and knowledge of data structures, distributed computing, and software ...

Fisec Global

Gen AI Engineer

Atlanta, GA · On-site

Deploy machine learning models and ensure their effective integration into existing systems ... Engage in quantum engineering projects, applying principles of quantum mechanics to engineering ...

Jobsultant Solutions

Data Analyst

Atlanta, GA

Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn and cloud computing platforms like Azure. Experience handling terabyte size datasets, diving into data ...

PRGX Global, Inc.

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.25 - $19/hr

Job Duties & Responsibilities · Apply machine learning algorithms and statistical models to large ... of cloud computing platforms such as AWS, GCP, or Azure preferred. Our Commitment to Equal ...

New

PRGX Global, Inc

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.25 - $19/hr

Job Duties & Responsibilities · Apply machine learning algorithms and statistical models to large ... of cloud computing platforms such as AWS, GCP, or Azure preferred. Our Commitment to Equal ...

New

SOLTECH

Data Scientist

Duluth, GA · On-site

... computing technologies. * Experience supporting streaming or near real-time data processing environments. * Strong Python programming skills utilizing modern machine learning libraries. * Advanced ...

neptune technologies

Data Scientist

Duluth, GA

Responsibilities • Collaborate with team members to develop and deploy machine learning models ... computing frameworks. • Conduct exploratory data analysis to identify patterns, trends, and ...

Neptune

Data Scientist

Duluth, GA · On-site

Responsibilities • Collaborate with team members to develop and deploy machine learning models ... Experience with PySpark or distributed computing frameworks. • Preferred: Experience with time ...

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All JobsMachine Learning Quantum Computing JobsMachine Learning Quantum Computing Jobs in Stone Mountain, GA

Machine Learning Quantum Computing information

See Stone Mountain, GA salary details

$23.1K

$38.5K

$79.6K

How much do machine learning quantum computing jobs pay per year?

As of Aug 1, 2026, the average yearly pay for machine learning quantum computing in Stone Mountain, GA is $38,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,400.00 and $41,600.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Quantum Computing vs Data Scientist?

AspectMachine Learning Quantum ComputingData Scientist
Required CredentialsAdvanced degrees in quantum computing, machine learning, or related fieldsDegree in data science, statistics, or computer science
Work EnvironmentResearch labs, tech companies focusing on quantum tech, academiaBusiness environments, tech companies, consulting firms
Industry UsageEmerging quantum tech industry, research institutionsFinance, healthcare, marketing, e-commerce
Common Search/ComparisonQuantum algorithms, quantum machine learningData analysis, predictive modeling

Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.

What are the key skills and qualifications needed to thrive as a Machine Learning Quantum Computing Specialist, and why are they important?

To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.

How do professionals in Machine Learning Quantum Computing typically collaborate with interdisciplinary teams?

Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.

What is Machine Learning Quantum Computing?

Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.
What cities near Stone Mountain, GA are hiring for Machine Learning Quantum Computing jobs? Cities near Stone Mountain, GA with the most Machine Learning Quantum Computing job openings:
Machine Learning Quantum Computing jobs near you

Machine Learning Engineer

Equifax, Inc.

Atlanta, GA • On-site

Full-time

Medical, Retirement, PTO

Posted 12 days ago

Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Equifax is excited to add a Machine Learning Engineer to our team.
What you'll do
  • Design complex systems of systems for training and running machine learning models with industry best practice
  • Define projects and scope for teams of engineers and guide their completion
  • Develop, identify, and report intellectual property through patent applications, invention disclosures, white papers, and presentations
  • Demonstrate effective, respectful, and honest communication when collaborating with colleagues including executives, customers, and peers from other businesses and institutions
  • Contribute to all phases of product development and delivery from Analysis & Design all the way through to successful Deployment
  • Deliver on company initiatives and prioritize projects supporting your long term technical vision
  • Collaborate with the product team, architects, and others to understand the opportunities and limitations of AI, ML, and data engineering
  • Participate in peer design and code reviews
  • Show initiative to identify and drive forward improvements and innovations that add value and move the IT organization forward
  • Elevate the performance of colleagues through training, mentoring, and promoting best practices; may function as a team lead

What experience you need
  • BS degree in a STEM major or equivalent job experience required; Master's Degree preferred; AI/ML coursework preferred
  • 7+ years of related work experience, including proven experience leading a team of MLE, DS, SDE, DevOps, or related roles
  • Experience with end-to-end development of ML models, from ideation to deployment, ensuring best practices, scalability and reliability
  • Cloud Certification Strongly Preferred

What could set you apart
  • Application Development/Programming - Ability to review code for quality, performance, and efficiency, and optimize critical parts of the codebase; Ability to establish the best practices of Software Development Life Cycle for the team
  • Artificial Intelligence - Designing scalable and maintainable machine learning architectures and frameworks for the organization's products and services; Ability to define the technical vision and roadmap for the MLE team aligned with the organization's goals and industry trends
  • Big Data Analytics - Deep understanding of the domain or industry in which the machine learning solutions are being applied, enabling the company to develop impactful big data solutions
  • Cloud Computing - Proficiency in data architecture design, data strategy development, data orchestration, data integration, ETL development, data modeling, parallel processing and performance optimization.
  • Collaboration - Being able to engage with internal stakeholders, including data scientists, business leaders, product managers, and executives, to understand requirements and present technical solutions; Ability to collaborate with other teams, such as software engineering, data engineering, and business intelligence, to integrate machine learning solutions into larger systems.
  • Mathematics - Ability to read and comprehend research papers in latest machine learning field, and applying innovative techniques to real-world problems
  • Technical Leadership - Be able to lead and manage a team of machine learning engineers, data scientists, or related roles. Ability to set clear goals, provide guidance, and foster a collaborative and productive team environment

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-Atlanta-One-Atlantic-Center
USA-Atlanta JV White
Function:
Function - Tech Dev and Client Services
Schedule:
Full time

What Equifax employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

Social media

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