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Machine Learning Quantum Computing Jobs in Lithonia, GA

Eliassen Group

Systems Engineer II Senior

Atlanta, GA · On-site

$55 - $60/hr

... computing, software, cameras, sensors, networking, machine learning, servers, and physical infrastructure. The role bridges hardware, software, data science, solution architecture, field operations ...

Elevance Health

Research Scientist Senior

Atlanta, GA · On-site +1

$94K - $120K/yr

Develops scalable machine learning and reinforcement learning systems that improve healthcare ... Experience with cloud-native ML environments, distributed computing, and MLOps practices highly ...

Elevance Health

Research Scientist Senior

Atlanta, GA · On-site +1

$94K - $120K/yr

Develops scalable machine learning and reinforcement learning systems that improve healthcare ... Experience with cloud-native ML environments, distributed computing, and MLOps practices highly ...

Smarsh

Lead Data Scientist

Atlanta, GA · Remote

$180K - $200K/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 · On-site

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 Database 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 ...

Jobtailor

Associate Software Engineer

Atlanta, GA · On-site

$90 - $130/hr

Explore opportunities to incorporate AI and machine learning capabilities into software solutions ... Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform. * Basic ...

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 ...

Dolby

Senior Database Researcher

Atlanta, GA · On-site

$143.50 - $168.20/hr

... 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 ...

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 ...

azurity

Senior Data Scientist

Boston, MA · On-site

Expertise in advanced analytical techniques such as descriptive statistics, machine learning ... Experience working with large data sets and distributed computing tools (e.g., Hadoop, Hive, Spark,

Deloitte

Senior AI Engineer - SFL Scientific

Atlanta, GA · On-site

$100K - $138K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... using cloud computing or on-prem technologies * Design and lead development on scalable, high ...

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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 Aug 22, 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 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 are the key skills and qualifications needed to thrive as a machine learning quantum computing specialist?

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 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 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

Systems Engineer II Senior

Eliassen Group

Atlanta, GA • On-site

$55 - $60/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago

Job description

Description:
On-site in Atlanta, GA
Our client seeks a hands-on Systems Engineer to design, integrate, deploy, and support complex railroad technology systems that combine electrical hardware, embedded computing, software, cameras, sensors, networking, machine learning, servers, and physical infrastructure. The role bridges hardware, software, data science, solution architecture, field operations, and customer needs to deliver reliable operational solutions in railroad environments.
Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $55.00 to $60.00/hr. w2
Responsibilities:
  • Design and integrate end-to-end systems spanning electrical, mechanical, embedded, software, networking, sensing, AI, and field infrastructure components.
  • Translate operational needs into architectures, requirements, interfaces, implementation plans, and integration strategies.
  • Integrate electronics, PCBs, embedded computers, cameras, sensors, networking equipment, servers, software, and AI models into deployed systems.
  • Identify risks, dependencies, and integration challenges. Troubleshoot failures across hardware, firmware, software, networking, sensing, AI, and field conditions.
  • Collaborate with solution architects, software engineers, data scientists, electrical engineers, IT and cybersecurity teams, DevSecOps, field personnel, and systems engineers.
  • Develop, configure, integrate, and troubleshoot embedded computing systems and hardware or software interfaces.
  • Write and maintain C++ and Python software, scripts, and tools for control, acquisition, communications, diagnostics, testing, configuration, deployment, and monitoring.
  • Analyze system behavior to isolate integration issues and performance bottlenecks across application, embedded, and system layers.
  • Support integration of machine learning and computer vision models with reliable sensor and image data capture, processing, and delivery.
  • Determine root causes of field performance issues across sensing, data quality, model performance, software, hardware, networking, or integration.
  • Design, integrate, and troubleshoot field-deployed electrical and electronic systems including power, sensors, communications, embedded computing, and PCBs.
  • Read schematics, PCB documentation, datasheets, drawings, and specifications. Select components per electrical, environmental, performance, and operational needs.
  • Integrate cameras, lenses, lighting, image acquisition, optics, sensors, and related equipment for machine vision and inspection.
  • Evaluate camera placement, mounting, field of view, resolution, exposure, lighting, image quality, environmental effects, and data suitability for computer vision and AI.
  • Design, configure, deploy, and troubleshoot servers, switches, routers, wireless equipment, edge platforms, IP networks, distributed communications, databases, cloud interfaces, and enterprise connections.
  • Develop practical solutions for environments with connectivity constraints and exposure to weather, vibration, temperature, and lighting.
  • Deploy, commission, validate, test, and troubleshoot systems in labs, test tracks, trackside locations, rail yards, maintenance facilities, and other railroad settings.
  • Analyze operational data, logs, sensor information, images, and diagnostics to assess performance and isolate failures.
  • Develop procedures and tools that simplify installation, configuration, testing, maintenance, troubleshooting, and deployment.
  • Apply engineering principles to track inspection, rolling stock inspection, train and car identification, rail-yard operations, automated monitoring, safety, maintenance, efficiency, and operational awareness.
  • Travel to field locations as needed.

Experience Requirements:
  • Experience developing, integrating, or troubleshooting complex hardware and software systems.
  • Working knowledge of C++ and Python.
  • Ability to troubleshoot systems involving hardware, software, embedded computing, networking, sensors, and field equipment.
  • Understanding of electrical and electronic fundamentals including sensors, signals, power, digital or analog I/O, embedded systems, and components.
  • Ability to read schematics, technical drawings, datasheets, and system documentation.
  • Understanding of computer networking fundamentals, IP networking, and networked devices.
  • Strong analytical, communication, collaboration, and hands-on problem-solving skills in lab and field environments.
  • Ability and desire to work across disciplines and learn new technologies.
  • Preferred: experience with robotics, mechatronics, autonomous systems, drones, industrial automation, motion systems, or physical system integration.
  • Preferred: experience with computer vision, machine learning, cameras, optics, lighting, image acquisition, sensor fusion, localization, tracking, or perception systems.
  • Preferred: experience with PCB and electronics design, wiring, hardware development, microcontrollers, embedded processors, edge platforms, embedded Linux, or other embedded OS.
  • Preferred: experience with Linux servers, industrial networking, protocols, databases, SQL, Docker, containers, virtualization, Git, CI/CD, DevSecOps, automated deployment, real-time systems, or HPC.
  • Preferred: experience in outdoor, industrial, transportation, railroad, or other demanding physical environments.

Education Requirements:
Bachelor's degree in Electrical Engineering, Computer Engineering, Mechatronics, a related engineering discipline, or equivalent relevant experience.
Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:
When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.
Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.
If you have any indication of fraudulent activity, please contact .
About Eliassen Group:
Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.
Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.
Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
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About Eliassen Group

Sourced by ZipRecruiter

Eliassen Group provides strategic consulting and talent solutions to drive our clients' innovation and business results. Our purpose is to positively impact the lives of our employees, clients, consultants, and the communities in which we operate. Leveraging over 30 years of success, our expertise in talent solutions, life sciences consulting, Agile consulting, cloud services, risk management, business optimization, and managed services enables us to partner with our clients to execute their business strategy and scale effectively. Headquartered in Reading, MA, and with offices from coast to coast, Eliassen Group offers local community presence and deep networks, as well as national reach.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Reading, MA, US

Year founded

1989

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