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Machine Learning Quantum Computing Jobs in Lithonia, GA

Intuit

AI Scientist 2

Atlanta, GA · On-site

Familiarity with distributed computing frameworks (e.g., Spark, Ray) is a plus. * 1+ years of experience in machine learning techniques such as classification, regression, neural networks, large ...

Workday, Inc.

Senior/Principal AI Engineer

Atlanta, GA · On-site

$120K - $166K/yr

About the Role As a Senior/Principal Machine Learning Engineer in Agent Factory, you'll design and ... cloud computing platforms (e.g. AWS, GCP, etc.) * Proven track record of successfully leading ...

Workday

Senior/Principal AI Engineer

Atlanta, GA

$120K - $166K/yr

About the Role As a Senior/Principal Machine Learning Engineer in Agent Factory, you'll design and ... cloud computing platforms (e.g. AWS, GCP, etc.) * Proven track record of successfully leading ...

PRGX Global, Inc

Data Scientist

Atlanta, GA · On-site

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

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA · On-site

This role involves advanced analytics, machine learning, and strong problem-solving skills to ... Familiarity with big data technologies and distributed computing frameworks is a plus (e.g., Hadoop ...

Smarsh

Lead Data Scientist

Atlanta, GA · Remote

$166K - $214K/yr

Development of machine learning models and other analytics following established workflows, while ... Familiarity with cloud computing platforms (AWS, GCS, Azure) * Experience with automated ...

Smarsh

Lead Data Scientist

Atlanta, GA

Development of machine learning models and other analytics following established workflows, while ... Familiarity with cloud computing platforms (AWS, GCS, Azure) * Experience with automated ...

Dolby

Sr. Data Researcher Engineer

Atlanta, GA · On-site

... mobile computing, computer networking, and IoT. What You Will Accomplish Sight and Sound play a ... Develop tools and frameworks to enable scalable development of machine learning models and data ...

Dolby

Senior Data Researcher

Atlanta, GA · On-site

... mobile computing, computer networking, and IoT. What You Will Accomplish Sight and Sound play a ... Develop tools and frameworks to enable scalable development of machine learning models and data ...

ACI Infotech

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Spark, PySpark, Apache NiFi, RServer Studio, Alteryx, Azure Machine Learning, Kubernetes, Apache ... computing, data structures, etc. * Minimum 10 years of experience in the IT function * Minimum 7 ...

Omnissa

Senior Data Scientist

Atlanta, GA · On-site +1

$146K - $304K/yr

Work with engineers to design and implement scalable machine learning pipelines, covering all ... Experience with distributed computing frameworks (e.g., Spark, Ray). Location: Mountain View, CA or ...

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All JobsMachine Learning Quantum Computing JobsMachine Learning Quantum Computing Jobs in Lithonia, GA

Machine Learning Quantum Computing information

See Lithonia, GA salary details

$23.3K

$38.9K

$80.3K

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

As of Jul 14, 2026, the average yearly pay for machine learning quantum computing in Lithonia, GA is $38,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,700.00 and $42,000.00 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 Lithonia, GA are hiring for Machine Learning Quantum Computing jobs? Cities near Lithonia, GA with the most Machine Learning Quantum Computing job openings:
Machine Learning Quantum Computing jobs near you
AI Scientist 2

AI Scientist 2

Intuit

Atlanta, GA • On-site

Full-time

Posted 7 days ago

Intuit rating

8.3

Company rating: 8.3 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

85th of 209 rated software companies

Job description

We are seeking an AI Scientist to work with our collaborative and creative group of scientists and engineers to design and implement the next generation AI and machine learning systems that will power our omnichannel marketing platform. In this role, you will develop and deploy modern machine learning and AI models directly in our core product to address key customer challenges. We are looking for someone passionate about the full model development lifecycle, eager to collaborate with product managers to shape innovative AI product experiences, and driven to make a significant impact on our customers.


Responsibilities


  • Explore, develop, and deploy machine learning models, contributing to the end-to-end ML lifecycle in partnership with machine learning engineers and guided by senior scientists.

  • Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve relevance and personalization algorithms, with an emphasis on understanding and implementing solutions that support broader AI initiatives.

  • Collaborate with product managers, software engineers, and designers in designing experiments and minimum viable products, learning to integrate insights from advanced AI systems.

  • Discover, process, and train on huge data sets.

  • In partnership with product managers and analysts, run regular A/B tests, perform statistical analysis, draw conclusions on the impact of your models, and communicate results to peers and leaders.

  • Research and explore new technology shifts, particularly in generative AI and advanced ML, to understand their potential connection with customer benefits and inform ongoing AI strategy.


Qualifications


  • MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.) or equivalent work experience.

  • 1+ years of experience in modern AI/ML tools and proficient in Python and typical AI/ML libraries (e.g., TensorFlow, PyTorch, Keras). Familiarity with distributed computing frameworks (e.g., Spark, Ray) is a plus.

  • 1+ years of experience in machine learning techniques such as classification, regression, neural networks, large language models, recommender systems, natural language processing, clustering, anomaly detection, and computer vision. Understanding of MLOps principles and practices (e.g., version control, CI/CD for ML models) is a plus.

  • Familiar with the latest trends and applications of generative AI including agentic applications. 

  • Efficient in SQL

  • Comfortable in a Linux environment

  • Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.


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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. 



Employment Type: Full-Time

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