ZipRecruiter

Log In

1

Science Engineering Jobs in Georgia (NOW HIRING)

Verizon

Assoc Dir-Data Science

Alpharetta, GA · On-site

$57K - $58K/yr

As the leader of our data science and platform engineering initiatives, your mission will be to shift our commercial model from reactive to proactive by deploying real-time predictive platforms ...

R2 Technologies Corporation

Java developer

Atlanta, GA · On-site

$49 - $63.50/hr

Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). * Proven experience with XML, XSD, WSDL, and other related technologies * Proven ...

Tecframes

Software Developer

Alpharetta, GA · On-site

$80 - $100/hr

Requires a Master's Degree in Computer Science, Engineering, or Information Technology, and 1 year experience using Java, TestNG, SOAP UI, XML, and Splunk. Must be willing to work at unanticipated ...

Cortland

Data Scientist - Atlanta, GA

Atlanta, GA · On-site

Bachelor's degree in a STEMrelated field (e.g., statistics, applied math, computer science, engineering, business analytics) required; Advanced degree preferred. * 2+ years of professional experience ...

Larson Engineering

Project Engineer

Norcross, GA · On-site

$95K - $120K/yr

QualificationsBachelor 's degree in Mechanical Engineering, Chemical Engineering, Paper Science Engineering, or Mechanical Engineering Technology from an accredited institution.Licensed Professional ...

previous pagenext page

Showing results 21-40

All JobsScience Engineering JobsScience Engineering Jobs in Georgia

Science Engineering information

See Georgia salary details

$34.2K

$83.4K

$132.1K

How much do science engineering jobs pay per year?

As of Aug 22, 2026, the average yearly pay for science engineering in Georgia is $83,390.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $97,900.00 per year, depending on experience, location, and employer.

What is a science engineer?

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 are the key skills and qualifications needed to thrive as a science engineer?

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.

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 engineering jobs?

Science engineering jobs involve applying scientific principles and engineering techniques to develop, design, and improve systems, products, or processes. These roles often require knowledge of mathematics, physics, and specialized tools or software, and may include positions such as research engineers, systems engineers, or technical specialists in various industries.

What jobs can you get with a science engineering degree?

A science engineering degree can lead to careers such as mechanical engineer, electrical engineer, civil engineer, chemical engineer, or systems analyst. These roles typically require strong problem-solving skills, knowledge of engineering principles, and proficiency with tools like CAD software or laboratory equipment. Job opportunities are available in industries including manufacturing, construction, energy, and technology.

What are popular job titles related to Science Engineering jobs in Georgia?

For Science Engineering jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Science Engineering jobs in Georgia look for?

The top searched job categories for Science Engineering jobs in Georgia are:

What cities in Georgia are hiring for Science Engineering jobs?

Cities in Georgia with the most Science Engineering job openings:

Science Engineering jobs near you
Infographic showing various Science Engineering job openings in Georgia as of August 2026, with employment types broken down into 84% Full Time, 6% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $83,390 per year, or $40.1 per hour.

Senior Director, Software Engineering - AI, Ontology

Jobtailor

Atlanta, GA • On-site

$150 - $230/hr

Other

Posted 5 days ago

Job description

  • Define and own end-to-end software architecture for AI/ML-enabled platforms, emphasizing ontologies, semantic models, and knowledge representation
  • Lead scalable, production-grade AI/ML systems, including data pipelines, model lifecycle management, and inference services
  • Drive development and adoption of enterprise ontologies and domain models for interoperability, reasoning, explainability, and data reuse
  • Ensure architectural alignment across cloud, edge, and on-premises deployments
  • Establish engineering best practices for model governance, explainable AI, data quality, security, and compliance
  • Partner with product, data science, and business leaders to identify high-value AI/ML use cases and create engineering roadmaps
  • Guide teams on model selection, training strategies, feature engineering, and MLOps
  • Evaluate and integrate emerging AI technologies, frameworks, and tools
  • Advise senior leaders on complex architectural and AI concepts
  • Influence enterprise standards and long-term AI, data, and software engineering strategy
  • Collaborate with global engineering, security, legal, and compliance teams on responsible AI deployment
  • Report directly to the VP Chief Technology Officer – Forge & AI
  • Mentor senior architects and influence executive stakeholders
Requirements
  • 10+ years of progressive software engineering experience
  • Experience with cloud-native architectures, distributed systems, and modern software engineering practices
  • Hands-on experience with ontology design, semantic modeling, knowledge graphs, or domain-driven data models
  • Demonstrated success delivering AI/ML-powered production systems at scale
  • Combination of hands-on technical depth and strategic leadership experience
  • Must be a U.S. Person: U.S. citizen, U.S. permanent resident, protected status under asylum or refugee status, or able to obtain export authorization
  • Bachelor’s and advanced degrees in Computer Science, Engineering, AI, Data Science, or a related field are valued
  • Experience with MLOps platforms, model governance, and AI lifecycle management
  • Familiarity with explainable AI, ethical AI, and regulatory considerations in enterprise environments
  • Prior experience in industrial, enterprise, or highly regulated domains
  • Ability to lead senior technical talent and influence across organizational boundaries
Core Competencies

Demonstrates expertise in defining and owning software architecture for AI/ML platforms, with a strong focus on ontologies, semantic models, and model governance. Proven ability to lead scalable AI/ML systems and collaborate with cross-functional teams to drive high-value use cases and engineering roadmaps.

Highest-signal resume keywords
  • AI/ML System Development
  • Ontology Design
  • MLOps Platforms
  • Cloud-Native Architectures
  • Model Governance
ATS Optimization Keywords Hard Skills
  • Software Engineering
  • Semantic Modeling
  • Knowledge Representation
  • Data Pipeline Management
  • Model Lifecycle Management
  • Feature Engineering
  • Explainable AI
  • Data Quality Assurance
  • Security Compliance
  • Distributed Systems
Soft Skills
  • Strategic Leadership
  • Mentoring
  • Collaboration
  • Influencing Stakeholders
  • Cross-Organizational Communication
Industry Keywords
  • Enterprise Ontologies
  • Regulatory Compliance
  • Ethical AI
  • Industrial Domains
  • Data Reuse
Tools & Technologies
  • AI Frameworks
  • MLOps Tools
  • Cloud Platforms
  • Data Science Tools
  • Knowledge Graphs
#J-18808-Ljbffr

Apply