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Computer Science Internship Jobs in Roswell, GA (NOW HIRING)

TalentBridge

ML Engineer

Atlanta, GA · On-site

Bachelor's degree in Computer Science, Computer Engineering, Engineering, or a related technical ... Recent graduates with strong internships or project experience in machine learning. * Up to 5-6 ...

Lagardere Travel Retail

IT Intern

Atlanta, GA · On-site

$14.50 - $19.25/hr

The Information Technology Internship program provides on-the-job experience to college students ... science, Cyber Security, Computer Science, or related fields. * Strong organizational and ...

Corporate Positions

IT Intern

Atlanta, GA · On-site

$14.50 - $19.25/hr

The Information Technology Internship program provides on-the-job experience to college students ... science, Cyber Security, Computer Science, or related fields. * Strong organizational and ...

HLB Gross Collins

Audit Internship

Atlanta, GA · On-site

Proficient computer and technical skills including Microsoft Office Suite * Exemplary verbal and written communication skills * Ability to provide excellent service to every client This internship is ...

HLB Gross Collins

Audit Internship

Atlanta, GA · On-site

Proficient computer and technical skills including Microsoft Office Suite * Exemplary verbal and written communication skills * Ability to provide excellent service to every client This internship is ...

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Computer Science Internship information

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

To thrive as a Computer Science Intern, you generally need foundational knowledge in programming, algorithms, and data structures, often supported by progress toward a computer science degree. Familiarity with coding languages such as Python, Java, or C++, as well as experience using version control systems like Git, is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns stand out in collaborative environments. These skills and qualities are essential because they enable interns to contribute meaningfully to projects, adapt to new technologies, and work efficiently within a development team.

What types of projects do Computer Science interns typically work on, and how much autonomy can I expect?

Computer Science interns often contribute to real-world projects such as developing new software features, debugging code, automating processes, or supporting infrastructure. While the level of autonomy varies by company, interns are generally given meaningful tasks and encouraged to collaborate with senior engineers and cross-functional teams. You'll likely participate in code reviews, agile sprints, and team meetings, gaining hands-on experience and feedback. Many organizations assign mentors to guide interns, helping them balance independence with structured learning and support.

What is a computer science internship?

A computer science internship is a temporary position that allows students or recent graduates to gain practical experience in the field of computer science. Interns typically work on real-world projects, assisting with programming, software development, data analysis, or IT support under the supervision of experienced professionals. These internships provide valuable hands-on skills, networking opportunities, and insight into potential career paths within technology industries.

What is the difference between Computer Science Internship vs Software Developer Intern?

AspectComputer Science InternshipSoftware Developer Intern
Required CredentialsTypically pursuing or recent graduate in CS or related fieldSame as CS internship, often students or recent grads
Work EnvironmentVaries across tech companies, research labs, startupsPrimarily software development teams in tech firms
Employer & Industry UsageUsed across academia, industry, research projectsPrimarily in software development companies and tech industry
Common Search & Comparison IntentUnderstanding internship opportunities in CSComparing software development internship roles

Both Computer Science Internships and Software Developer Internships target students or recent graduates interested in tech. While CS internships may include research, data analysis, or broader technical roles, Software Developer Internships focus specifically on coding and software creation. The choice depends on your career goals and the specific skills you want to develop.

What are the most commonly searched types of Computer Science jobs in Roswell, GA? The most popular types of Computer Science jobs in Roswell, GA are:
What are popular job titles related to Computer Science Internship jobs in Roswell, GA? For Computer Science Internship jobs in Roswell, GA, the most frequently searched job titles are:
What job categories do people searching Computer Science Internship jobs in Roswell, GA look for? The top searched job categories for Computer Science Internship jobs in Roswell, GA are:
What cities near Roswell, GA are hiring for Computer Science Internship jobs? Cities near Roswell, GA with the most Computer Science Internship job openings:
Computer Science Internship jobs near you
ML Engineer

ML Engineer

TalentBridge

Atlanta, GA • On-site

Other

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

Job description

Job Description
Job Title: Machine Learning Engineer (MLE I / MLE II / Senior)
Location: United States (Team supporting The Home Depot)
Employment Type: Full-time or Contract (potential contract-to-hire)
Position Overview
We are seeking a Machine Learning Engineer to join a collaborative engineering team focused on solving complex business problems through data science and machine learning. This role is ideal for candidates ranging from recent graduates with strong internships to professionals with up to 5-6 years of experience.
The team operates in a highly consultative and collaborative environment, working through ambiguous and complex problems while partnering closely with internal stakeholders. Successful candidates will demonstrate strong technical skills, communication abilities, and a positive, solution-oriented mindset.
Key Responsibilities
  • Develop and implement machine learning models and solutions to address business and operational challenges.
  • Collaborate with engineering teams, stakeholders, and business partners to understand requirements and translate them into technical solutions.
  • Analyze complex datasets to identify insights and opportunities for optimization.
  • Design and build scalable ML systems and data-driven applications.
  • Participate in technical discussions, code reviews, and architecture decisions.
  • Work effectively in environments with ambiguity and evolving requirements.
  • Maintain strong collaboration with cross-functional teams.
Basic Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, Engineering, or a related technical field.
  • Coursework or academic experience in Machine Learning.
  • Programming experience in modern development languages commonly used for ML and data applications.
  • Strong analytical and problem-solving abilities.
  • Ability to communicate technical concepts clearly with both technical and non-technical stakeholders.
Preferred Qualifications
  • Recent graduates with strong internships or project experience in machine learning.
  • Up to 5-6 years of professional experience in machine learning, data science, or software engineering.
  • Experience building or deploying machine learning models in production environments.
  • Candidates from strong technical universities or engineering programs.
  • Demonstrated ability to quickly learn new technologies and solve complex problems.
Ideal Candidate Profile
The ideal candidate will demonstrate:
  • Strong communication and collaboration skills
  • Ability to work through ambiguous or evolving problems
  • Positive and resilient mindset
  • Proven track record of learning quickly and solving difficult technical challenges
  • Professional stability and commitment to team success
Team Environment
This team operates in a consultative engineering culture, emphasizing collaboration, resilience, and continuous learning. Team members are expected to maintain a constructive attitude while working through complex technical challenges.
Experience Level
Candidates may fall within one of the following levels:
  • MLE I: Entry-level or recent graduates with internships
  • MLE II: Early career professionals (2-4 years experience)
  • Senior MLE: Experienced engineers (4-6 years experience)

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