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Quantum Machine Learning Engineer Jobs in Decatur, GA

Inovalon

Senior Machine Learning Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which serves as Inovalon's central AI and machine learning hub. This team partners with Provider, Payer, and ...

Inovalon

Senior Machine Learning Engineer

Atlanta, GA · On-site

$117K - $155K/yr

The Senior Machine Learning Engineer will contribute to both classical machine learning and generative AI applications, working across the full model development lifecycle on a modern, cloud-native ...

AEG Presents

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet ...

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 ...

AEG

Staff Machine Learning Engineer

Atlanta, GA · On-site

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet ...

PrizePicks

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet ...

Cox Automotive

Machine Learning Lead Engineer

Decatur, GA · On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML ... Knowledge of emerging areas such as LLMs, Agents, foundation models, multimodal AI, or quantum ML ...

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All JobsQuantum Machine Learning Engineer JobsQuantum Machine Learning Engineer Jobs in Decatur, GA

Quantum Machine Learning Engineer information

See Decatur, GA salary details

$30.8K

$125.7K

$188.9K

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

As of Jun 22, 2026, the average yearly pay for quantum machine learning engineer in Decatur, GA is $125,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,100.00 and $151,300.00 per year, depending on experience, location, and employer.

What is the salary of quantum machine learning engineer?

The salary of a quantum machine learning engineer typically ranges from $100,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in quantum algorithms and programming languages like Python or Qiskit may offer higher compensation. Entry-level positions generally start around $80,000 to $100,000.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. These roles often require advanced degrees, certifications, and leadership responsibilities.

Is quantum machine learning a good career?

Quantum machine learning engineers work at the intersection of quantum computing and machine learning, focusing on developing algorithms that leverage quantum hardware. The field is emerging with high growth potential, requiring skills in quantum algorithms, programming languages like Python, and understanding of both quantum mechanics and machine learning principles. As quantum technology advances, demand for specialists in this area is expected to increase, making it a promising career path for those with relevant expertise.

What is a Quantum Machine Learning Engineer?

A Quantum Machine Learning Engineer is a professional who combines expertise in quantum computing and machine learning to develop algorithms and solutions that leverage quantum hardware for advanced data processing tasks. They work on designing, implementing, and testing quantum algorithms that can solve problems faster or more efficiently than classical computers. Their work often involves collaborating with physicists, data scientists, and software engineers to bridge the gap between quantum theory and practical applications. This role requires strong backgrounds in quantum mechanics, computer science, and statistical learning techniques.

Which 3 jobs will survive AI?

Quantum Machine Learning Engineers are likely to have resilient careers as their role combines advanced quantum computing and machine learning skills, which are less susceptible to automation. Jobs requiring complex problem-solving, creativity, and specialized expertise—such as data scientists, AI researchers, and cybersecurity analysts—are also expected to persist. These roles often involve tasks that are difficult for AI to fully automate and require ongoing human oversight and innovation.

How do Quantum Machine Learning Engineers typically collaborate with classical machine learning teams and quantum hardware specialists?

Quantum Machine Learning Engineers often serve as a bridge between classical machine learning experts and quantum hardware specialists. They work closely with data scientists to adapt machine learning algorithms for quantum environments and collaborate with hardware teams to ensure algorithms are optimized for specific quantum processors. Regular cross-functional meetings, code reviews, and joint problem-solving sessions are common, fostering a highly collaborative work environment. This collaboration is essential for successfully integrating quantum solutions into existing workflows and advancing the organization's quantum computing initiatives.

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

To thrive as a Quantum Machine Learning Engineer, you need a strong background in quantum computing, machine learning, linear algebra, and programming (often Python or C++), typically supported by an advanced degree in physics, computer science, or a related field. Familiarity with platforms like Qiskit, Cirq, or TensorFlow Quantum, and knowledge of quantum algorithms and cloud-based quantum computing services are essential. Creative problem-solving, analytical thinking, and strong collaboration skills help distinguish top performers in this interdisciplinary field. Mastery of these skills enables innovation in developing and deploying quantum machine learning solutions to solve complex, cutting-edge problems.
What are popular job titles related to Quantum Machine Learning Engineer jobs in Decatur, GA? For Quantum Machine Learning Engineer jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Quantum Machine Learning Engineer jobs in Decatur, GA look for? The top searched job categories for Quantum Machine Learning Engineer jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Quantum Machine Learning Engineer jobs? Cities near Decatur, GA with the most Quantum Machine Learning Engineer job openings:
Quantum Machine Learning Engineer jobs near you
Infographic showing various Quantum Machine Learning Engineer job openings in Decatur, GA as of June 2026, with employment types broken down into 53% Full Time, 45% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $125,721 per year, or $60.4 per hour.

Machine Learning Engineer 3 4P/392

4P Consulting Inc

Atlanta, GA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Machine Learning Engineer 3 (AI Engineer)
Location: Atlanta, GA
Client- Southern Comapny Gas
Contract- 1 Year
Job Summary
We are seeking a highly skilled Machine Learning Engineer (Level 3) with 5-10 years of experience to design, develop, and deploy advanced AI models and systems. This role requires expertise in machine learning, data analysis, and model deployment to optimize business operations and drive innovation within the utilities and energy sector.
The successful candidate will collaborate with cross-functional teams-including data scientists, engineers, and business stakeholders-to integrate AI solutions into real-world applications that support operational efficiency, customer service, and sustainability initiatives.
Key Responsibilities
  • AI Model Development: Design and implement machine learning models and algorithms to address utility-specific challenges such as grid optimization, asset reliability, predictive maintenance, and customer analytics.
  • Data Analysis: Analyze large, complex datasets from SCADA, AMI, and IoT systems to extract actionable insights.
  • Model Training & Evaluation: Train, test, and validate AI models to ensure accuracy, scalability, and compliance with industry reliability standards.
  • Deployment & Integration: Deploy AI solutions into production systems and integrate with enterprise platforms (e.g., Azure, Maximo, EMS/DMS systems).
  • Innovation: Stay current with the latest advancements in AI/ML and recommend solutions that can enhance grid resilience, safety, and efficiency.
  • Collaboration: Partner with engineering, IT, and business units to define requirements and deliver business-aligned AI solutions.
  • Performance Monitoring: Continuously monitor AI models and refine as needed to maintain performance and compliance.
  • Documentation & Knowledge Sharing: Create clear documentation of models, workflows, and processes for reuse and compliance.
Qualifications
Education:
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
Experience:
  • 5-10 years of experience in AI, ML, or data science roles, with proven success in AI model development and deployment.
  • Industry experience in utilities, energy, or large-scale infrastructure data is preferred.
Technical Skills:
  • Proficiency in Python, R, or Java.
  • Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn.
  • Strong grasp of data structures, algorithms, and applied statistics.
  • Familiarity with cloud platforms such as Azure ML and Azure Databricks (preferred), AWS or Google Cloud (a plus).
  • Experience with big data tools (e.g., Spark, Hadoop) is desirable.
  • Exposure to natural language processing (NLP) or computer vision a plus.
Soft Skills:
  • Strong analytical and problem-solving abilities.
  • Excellent communication skills for cross-functional collaboration.
  • Ability to work independently and manage multiple projects simultaneously.
  • Experience working in agile or iterative development environments.
Preferred Qualifications
  • Lighting up AI/ML use cases in the utility/energy sector (e.g., outage prediction, DERMS optimization, vegetation management analytics).
  • Certifications in AI/ML, data science, or cloud platforms (Azure, AWS, GCP).
  • Experience with MLOps pipelines and CI/CD integration for model deployment.

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