ZipRecruiter

Log In

1

Science Engineering Jobs in Atlanta, GA (NOW HIRING)

Deloitte

AI Engineer - SFL Scientific

Atlanta, GA · On-site

Required : • Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience • 2+ years of experience working in data engineering, data science, software ...

Deloitte

Senior AI Engineer - SFL Scientific

Atlanta, GA · On-site

$100K - $138K/yr

Required : • Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience • 4+ years of experience working in data engineering, data science, software ...

Valueprosite

AI/ML Engineer

Alpharetta, GA · On-site

Bachelor''s or Master''s degree in Computer Science, Data Science, Engineering, or a related field. * 13+ years of relevant experience in AI/ML engineering. * Proven track record of successful ...

Westrock

Sr. Anlst, Data Science & Eng

Atlanta, GA · On-site +1

$82K - $104K/yr

General Information Job ID ATR62773 Posting Job Title Sr. Analyst, Data Science & Engineering Locations GA WFH Georgia Employment Type Full Time Date Posted 28-May-2026 Relocation Support No ...

next page

Showing results 1-20

All JobsScience Engineering JobsScience Engineering Jobs in Atlanta, GA

Science Engineering information

See Atlanta, GA salary details

$38.9K

$95K

$150.5K

How much do science engineering jobs pay per year?

As of Jun 28, 2026, the average yearly pay for science engineering in Atlanta, GA is $94,972.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $111,600.00 per year, depending on experience, location, and employer.

What jobs can you do with engineering science?

Engineering science graduates can pursue roles such as mechanical engineer, electrical engineer, systems analyst, research scientist, or project engineer. These positions often require strong problem-solving skills, knowledge of engineering principles, and proficiency with tools like CAD software or laboratory equipment.

How do science engineers typically collaborate with cross-functional teams on research and development projects?

Science engineers often work closely with professionals from various disciplines, such as chemists, physicists, software developers, and project managers, to drive innovation and problem-solving. Collaboration usually involves regular meetings to align on project goals, share research findings, and coordinate technical tasks. Effective communication and teamwork are essential, as science engineers must relay complex concepts in accessible terms and integrate feedback from different perspectives. This collaborative environment not only fosters creative solutions but also provides opportunities for professional growth and learning from peers in related fields.

What is the difference between Science Engineering vs Mechanical Engineering?

AspectScience EngineeringMechanical Engineering
Required CredentialsBachelor's or higher in Science Engineering or related fieldsBachelor's or higher in Mechanical Engineering
Work EnvironmentResearch labs, development centers, academiaManufacturing, design firms, industrial settings
Industry UsageResearch, product development, scientific analysisDesign, testing, manufacturing of mechanical systems

Science Engineering focuses on applying scientific principles to research and development, often in labs or academic settings. Mechanical Engineering emphasizes designing and manufacturing mechanical systems in industrial environments. While both require strong technical skills, their work environments and primary goals differ significantly.

What are science engineers?

Science engineers are professionals who apply scientific principles and methods to design, develop, and improve technology, systems, or processes. They work at the intersection of science and engineering, often using their expertise to solve complex technical problems in fields such as materials science, biotechnology, environmental engineering, and more. Science engineers may conduct experiments, analyze data, and collaborate with scientists and other engineers to innovate new solutions. Their work is essential in advancing technology and addressing real-world challenges. Science engineers are found in research institutions, government agencies, and a wide range of industries.

What engineers make $500,000?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. High-level roles typically require extensive experience, advanced skills, and sometimes leadership responsibilities or advanced certifications.

What do science engineers do?

Science engineers apply principles from science and engineering to develop new technologies, improve processes, and solve technical problems. They often work in research and development environments, using tools like laboratory equipment and computer modeling, and may require knowledge of specific scientific disciplines and engineering standards.

What engineers make $300,000 a year?

Senior engineers in fields such as petroleum, aerospace, and software engineering can earn $300,000 or more annually, especially with extensive experience, specialized skills, and leadership roles. High-paying engineering positions often require advanced degrees, certifications, and working in high-demand industries or management positions.

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

To thrive as a Science Engineer, you need a solid background in mathematics, scientific principles, and engineering fundamentals, typically supported by a relevant bachelor's degree or higher. Familiarity with industry-specific software, laboratory equipment, and certifications such as Professional Engineer (PE) licensure are often required. Strong problem-solving abilities, collaboration, and effective communication skills help Science Engineers excel in team-based environments and complex projects. These skills and qualities are crucial for developing innovative solutions, ensuring safety, and advancing scientific and engineering objectives.
What are popular job titles related to Science Engineering jobs in Atlanta, GA? For Science Engineering jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Science Engineering jobs in Atlanta, GA look for? The top searched job categories for Science Engineering jobs in Atlanta, GA are:
Science Engineering jobs near you
Infographic showing various Science Engineering job openings in Atlanta, GA as of June 2026, with employment types broken down into 90% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $94,972 per year, or $45.7 per hour.
AI Engineer - SFL Scientific

AI Engineer - SFL Scientific

Deloitte

Atlanta, GA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

55th of 139 rated financial services

Job description

Job Summary:
Deloitte is a leading professional services firm that helps clients navigate critical moments and transformational initiatives. They are seeking an AI Engineer to work alongside data scientists and machine learning engineers to develop AI infrastructure and deployment services, focusing on modern data architecture and solutions for various industries.
Responsibilities:
• Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications
• Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies
• Participate in the design and development on scalable, high-performance data architecture solutions that supports both the client business as well as AI/GenAI use cases
• Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiatives
• Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on prem
• Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns
• Participate in technology proof of concepts to ensure feasibility of new data and cloud technology solutions
• Display thought leadership and execution in pursuit of modern data architecture principles and technology modernization
Qualifications:
Required:
• Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience
• 2+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment
• 2+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)
• 2+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.
• 2+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins
• 2+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)
• 2+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc.
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred:
• Master's degree in Computer Science, Engineering, Physics, etc. or related STEM field
• AWS/Azure Certifications (AWS/Azure Certified: SysOps Administrator, DevOps Engineer, Solutions Architect)
• 1+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack
• Experience in a client facing role
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply