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Full Time Ai Computer Science Jobs in Georgia (NOW HIRING)

We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development ... Requirements * Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a ...

We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development ... Requirements * Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a ...

We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development ... Requirements * Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a ...

At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby ... The Atlanta Area base salary range for this full-time position is $140,000-$170,000, which can vary ...

... to computer science and electrical engineering, such as AI/ML, algorithms, digital signal ... The Atlanta Area base salary range for this full-time position is $140,000-$170,000, which can vary ...

S. (Ph.D. preferred) in Computer Science, Machine Learning, AI, or related field, or equivalent ... Coffee bar with cold brew on tap and a full time barista * Standing desk (if you're into that sort ...

... to computer science and electrical engineering, such as AI/ML, algorithms, digital signal ... The Atlanta Area base salary range for this full-time position is $140,000-$170,000, which can vary ...

Qualifications * 4+ years of industry experience with AI science * BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on ...

Qualifications * 4+ years of industry experience with AI science * BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent * 4+ years of hands-on ...

AI Machine Learning Scientist AI Machine Learning Scientist Location: This role requires associates ... Requires a Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning ...

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Full Time Ai Computer Science information

What is the difference between Full Time Ai Computer Science vs Data Scientist?

AspectFull Time Ai Computer ScienceData Scientist
Required CredentialsBachelor's or higher in Computer Science, AI, or related fields; certifications in AI/MLBachelor's or higher in Data Science, Statistics, or related fields; certifications in Data Analysis or ML
Work EnvironmentTech companies, research labs, AI-focused teamsBusiness, finance, healthcare, tech firms analyzing data
Employer & Industry UsagePrimarily in AI development, machine learning projectsData analysis, predictive modeling, business insights

Full Time Ai Computer Science roles focus on developing AI algorithms and systems, often requiring strong programming and machine learning skills. Data Scientists analyze data to extract insights, using statistical and analytical tools. While both roles involve machine learning, AI Computer Science emphasizes building AI models, whereas Data Scientists focus on interpreting data for decision-making.

Which 3 jobs will survive AI?

Full Time AI Computer Science roles such as AI researchers, data scientists, and machine learning engineers are expected to persist as they require complex problem-solving, creativity, and domain expertise that AI tools currently cannot fully replicate. These jobs involve designing, developing, and maintaining AI systems, often requiring advanced programming skills and understanding of algorithms. Continuous learning and staying updated with new AI developments are essential for long-term career stability in this field.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning executives, often found in large tech companies or specialized firms. These roles usually require advanced skills in machine learning, deep learning, data science, and leadership, along with extensive experience and sometimes advanced degrees or certifications.

What is a Full Time AI Computer Science job?

A Full Time AI Computer Science job typically involves working as a professional in the field of artificial intelligence, applying computer science principles to develop, implement, and optimize AI systems and solutions. Responsibilities may include designing machine learning models, analyzing data, programming algorithms, and collaborating with other engineers and data scientists. These roles are usually found in technology companies, research institutions, and industries adopting AI to enhance products or services, and require a strong background in computer science, mathematics, and programming languages such as Python or Java.

Can you get a job in AI with a computer science degree?

A computer science degree provides a strong foundation for obtaining an AI-related job, as many roles in AI, machine learning, and data science require programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. Additional certifications or specialized training in AI or machine learning can enhance job prospects in this field.

What are some common challenges faced by professionals in a full-time AI computer science role, and how can they be addressed?

Professionals in full-time AI computer science roles often encounter challenges such as staying current with rapidly evolving technologies, managing large datasets, and effectively translating business needs into technical solutions. Keeping up with the latest research papers, tools, and frameworks is essential but can be time-consuming. Collaborating closely with cross-functional teams and participating in knowledge-sharing sessions can help bridge gaps and foster innovation. Additionally, leveraging mentorship and continuous learning opportunities within the organization can support career growth and help tackle complex problems more efficiently.

What are the key skills and qualifications needed to thrive as a Full-Time AI Computer Scientist, and why are they important?

To thrive as a Full-Time AI Computer Scientist, you need strong programming skills (Python, C++), a solid background in mathematics and statistics, and at least a bachelor's or master's degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Machine Learning are typically required. Critical thinking, problem-solving, and effective teamwork help set top professionals apart in this field. These skills are crucial for designing, implementing, and optimizing AI solutions that solve complex real-world problems.

What is the 10 20 70 rule for AI?

The 10-20-70 rule is a learning guideline often used in AI and computer science to allocate time effectively: 10% of time is spent on formal education or training, 20% on mentorship and collaboration, and 70% on hands-on practice and real-world projects. This approach emphasizes practical experience as essential for developing skills in AI roles such as full-time AI computer science positions.
What are the most commonly searched types of Ai Computer Science jobs in Georgia? The most popular types of Ai Computer Science jobs in Georgia are:
What cities in Georgia are hiring for Full Time Ai Computer Science jobs? Cities in Georgia with the most Full Time Ai Computer Science job openings:

AI/CAD Software Engineer

Falcomm

Atlanta, GA โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


Key responsibilities

  • Architect and maintain code for training and serving machine learning models that predict and optimize RF performance metrics.

  • Automate the creation and management of large-scale datasets derived from PA load-pull and electromagnetic simulations.

  • Integrate machine learning inference engines into existing RF EDA infrastructure to provide real-time feedback to PA designers.


Job description

Are you passionate about applying machine learning to transform the future of RF hardware? At Falcomm, we are revolutionizing wireless communications by integrating AI-driven solutions into the design of our energy-efficient Power Amplifier (PA) products. We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development of intelligent tools that enhance RF workflows, automate complex EM simulations, and accelerate the tape-out of high-performance PAs. This role sits at the intersection of software engineering, machine learning, and RF physics, perfect for a developer who wants to get close to the hardware.
Responsibilities:
  • End-to-End ML Pipeline Development: Architect and maintain robust code for training and serving ML models that predict and optimize RF performance metrics.
  • PA Design Automation: Automate the creation and management of large-scale datasets derived from PA load-pull and electromagnetic (EM) simulations.
  • Tool Integration: Seamlessly integrate ML inference engines into existing RF EDA infrastructure to provide real-time feedback to PA designers.
  • Software Engineering Excellence: Establish best practices including comprehensive testing, CI/CD pipelines, and code reviews within an agile hardware team.
  • Cross-Functional Collaboration: Partner closely with RF/PA architects to translate complex impedance matching and linearity requirements into deployable software solutions.

Requirements
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
  • 2+ years of professional experience in software engineering or machine learning.
  • Proficiency in Python: Advanced scripting, object-oriented programming, and automation skills.
  • ML Framework Expertise: Experience building models using PyTorch, TensorFlow, or scikit-learn.
  • Data Engineering: Strong grasp of data processing libraries (pandas, numpy, scipy) and file I/O operations.
  • Software Fundamentals: Solid understanding of algorithms, data structures, and version control (Git).
  • RF Domain Knowledge: RF front-end architectures, or a strong understanding of RF metrics (PAE, Gain, ACLR, EVM).
Preferred Skills (The "RF/PA Plus")
  • RF PA Domain Knowledge: Experience with Power Amplifier design and an understanding of RF PA metrics.
  • RF/EM Simulation Tools: Hands-on experience with Cadence Virtuoso, Ansys HFSS, or Keysight ADS.
  • Open Source Innovation: Experience utilizing or contributing to open-source RF/EDA alternatives (e.g., gdsfactory, KLayout, Qucs, openEMS).
  • Simulation Scripting: Familiarity with automating RF simulations via SKILL, AEL, or Python APIs.
  • Physics-Informed ML: Interest or experience in applying ML to physics-based problems or electromagnetic modeling.

Benefits
  • Competitive Salary and Equity Package
  • Comprehensive Health, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Paid Time Off (PTO) and Sick Leave

DISCLOSURE
  • Falcomm is an Equal Opportunity Employer; employment with Falcomm is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
  • Applicants wishing to view a copy of Falcomm's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify Falcomm.
  • To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.