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Amazon Computer Science Internship Jobs in Tampa, FL

... interns toward achieving lab and project goals. * Funding Opportunities: Identifying and ... Doctor of Philosophy (PhD) in biomedical informatics, computing, computer science, data science ...

Work with container platforms such as OpenShift and Amazon EKS to design, deploy, and manage ... Bachelor's degree in Computer Science, Information Systems, Engineering (any), Technology ...

Leverage Amazon Bedrock to explore foundation model capabilities for intelligent document ... Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in ...

Applied AI/ML Lead

Tampa, FL · On-site

  • Medical

  • Retirement

Leverage Amazon Bedrock to explore foundation model capabilities for intelligent document ... Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in ...

Applied AI/ML Lead

Tampa, FL · On-site

  • Medical

  • Retirement

Leverage Amazon Bedrock to explore foundation model capabilities for intelligent document ... Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in ...

Applied AI/ML Lead

Tampa, FL · On-site

  • Medical

  • Retirement

Leverage Amazon Bedrock to explore foundation model capabilities for intelligent document ... Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in ...

Applied AI/ML Lead

Tampa, FL · On-site

  • Medical

  • Retirement

Leverage Amazon Bedrock to explore foundation model capabilities for intelligent document ... Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in ...

Data Scientist-Mid

Tampa, FL · Hybrid

$114K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience: 5-8 years of related experience, including academic or internship-based data science work. * Education: Bachelor's degree in Computer Science, Statistics, Engineering, Data Science, or ...

BA/BS degree in computer science, statistics, analytics, operations research, economics ... Experience using Amazon CloudWatch or similar monitoring tools to identify operational, system, or ...

Bachelor's degree in Computer Science, Information Technology, Data Science, Business ... or Amazon Bedrock. * Knowledge of data governance, cybersecurity, privacy regulations, and AI ...

Senior AI Project Manager (Remote Opportunity)

Tampa, FL · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree in Computer Science, Information Technology, Business, Healthcare Informatics, or ... Amazon Bedrock and AWS AI services * Prompt engineering, source grounding, hallucination testing ...

Senior AI Project Manager (Remote Opportunity)

Tampa, FL · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree in Computer Science, Information Technology, Business, Healthcare Informatics, or ... Amazon Bedrock and AWS AI services * Prompt engineering, source grounding, hallucination testing ...

IT Service Desk Analyst

Tampa, FL · On-site

$19.25 - $26.50/hr

... SCCM, Amazon Workspaces etc., * Provide client with a first level resolution, where possible ... computer science or a similar field, IT Diploma holders are also preferred #NOBLE-NON-IT

Bachelor's degree or higher in computer science, information technology, software engineering ... OCI), Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * 2+ years of ...

Oracle Tech Cloud Senior Consultant

Tampa, FL · On-site

$60 - $75.50/hr

Bachelor's degree or higher in Computer Science, Information Technology, Software Engineering, or a ... OCI), Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * 1+ year of ...

Showing results 41-60

Amazon Computer Science Internship information

See Tampa, FL salary details

$12

$24

$36

How much do amazon computer science internship jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for amazon computer science internship in Tampa, FL is $24.02, according to ZipRecruiter salary data. Most workers in this role earn between $19.52 and $27.26 per hour, depending on experience, location, and employer.

What is an Amazon computer science internship?

An Amazon Computer Science Internship is a paid, hands-on opportunity for students studying computer science or related fields to gain real-world experience at Amazon. Interns work alongside experienced engineers on impactful projects, often involving software development, systems engineering, or data analysis. The program typically runs for 12-16 weeks during the summer and offers mentorship, networking, and potential pathways to full-time roles. Interns can expect to enhance their technical skills, contribute to innovative solutions, and learn about Amazon’s culture and technologies.

What types of projects do Amazon computer science interns typically work on, and how are they assigned?

Amazon Computer Science Interns are usually assigned to real-world projects that have a tangible impact on the company's products and services. These projects can range from developing scalable web services, improving machine learning models, to optimizing backend systems for performance. Interns are matched with teams based on their skill set, interests, and the needs of the business, ensuring a meaningful learning experience. Collaboration is key: interns work closely with experienced engineers, participate in code reviews, and often present their solutions to stakeholders. This hands-on environment helps interns build both technical and teamwork skills.

What are the key skills and qualifications needed to thrive as an Amazon computer science intern, and why are they important?

To thrive as an Amazon Computer Science Intern, you need a solid understanding of computer science fundamentals, programming languages like Java or Python, and currently be enrolled in a relevant degree program. Familiarity with version control systems (e.g., Git), cloud platforms such as AWS, and debugging or development tools is typically expected. Strong problem-solving, teamwork, and effective communication skills help interns collaborate and learn quickly in a fast-paced environment. These abilities enable interns to contribute meaningfully to projects, adapt to Amazon’s dynamic culture, and maximize their learning experience.

What are popular job titles related to Amazon Computer Science Internship jobs in Tampa, FL?

For Amazon Computer Science Internship jobs in Tampa, FL, the most frequently searched job titles are:

What job categories do people searching Amazon Computer Science Internship jobs in Tampa, FL look for?

The top searched job categories for Amazon Computer Science Internship jobs in Tampa, FL are:

What cities near Tampa, FL are hiring for Amazon Computer Science Internship jobs?

Cities near Tampa, FL with the most Amazon Computer Science Internship job openings:

Infographic showing various Amazon Computer Science Internship job openings in Tampa, FL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $49,960 per year, or $24 per hour.

Full-time

Re-posted 8 days ago


UAB Medicine rating

7.3

Company rating: 7.3 out of 10

Based on 190 frontline employees who took The Breakroom Quiz

307th of 888 rated healthcare providers


Job description

Position Summary

The University of Alabama at Birmingham invites qualified candidates to apply for a Scientist III position in the Systems Pharmacology AI Research Center (SPARC) department. The candidate will frequently encounter high-level complexities that demand sharp judgment and rigorous decision-making. The role requires deep technical expertise across AI for science protein and antibody design, AI-driven molecular dynamics, agentic AI and autonomous research systems, clinical trial simulations, virtual cell modeling, multi-modal drug discovery, and retrosynthesis; combined with a strategic orientation toward research planning, execution, and translation. The selected candidate will lead the development of novel AI models and software systems that form essential components of SPARC's AI-accelerated drug discovery pipeline, direct in silico computational studies, and lead lab-in-the-loop collaborations with UAB, regional, and national experimental partners. Obtaining AI drug discovery research funding as a Co-Principal Investigator or Co-Investigator on extramural grant proposals is a major and recurring responsibility, alongside leading SPARC service activities not covered by existing external funding and authoring scientific manuscripts, progress reports, and grant documentation. Active research areas include protein and antibody design, novel AI approaches to molecular dynamics simulations, agentic AI and autonomous systems for science, clinical trial simulations, virtual cell modeling, multi-modal drug discovery, retrosynthesis, and AI for science more broadly. Excellent office, programming, and communication skills are essential. SPARC offers GPU/HPC infrastructure, large biomedical data assets, deep clinical partnerships, and direct opportunities to translate methodological advances into impact across the UAB School of Medicine.

General Responsibilities

  • To interpret, organize, execute and coordinate research assignments.

  • To formulate and conduct research on problems of considerable scope and complexity.

  • To explore subject area and define scope and selection of problems for investigation through conceptually related studies or series of projects of lesser scope.

Key Duties & Responsibilities

  1. Research Direction: Deciding the focus of the lab's research agenda, including selection of research projects that align with both current scientific needs and future potential.

  2. Methodological Choices: Making choices about research methodologies, including the selection of appropriate AI algorithms, data sources, and experimental designs that maximize the potential for impactful findings.

  3. Resource Allocation: Determining how to allocate limited resources, such as lab equipment, funding, and personnel time, in a manner that optimally supports ongoing and future research efforts.

  4. Team Leadership: Making decisions about the mentoring and development of research staff, prioritizing areas for skills development and guiding research assistants and interns toward achieving lab and project goals.

  5. Funding Opportunities: Identifying and prioritizing grant and external funding opportunities that will offer the highest yield for the lab's objectives, including making decisions on when and how to pursue these opportunities.

  6. Commercial Partnerships: Judging the viability and potential of industrial and commercial collaborations and deciding the terms under which these collaborations will proceed to ensure the mutual benefit of all stakeholders.

  7. Publication and Dissemination: Deciding when research findings are robust and significant enough for publication and choosing the appropriate platforms and journals for dissemination to ensure maximum impact.

  8. Perform other duties as assigned.

Salary Range:   $ 80,300- $ 133,300

Qualifications

Doctor of Philosophy, D.V.M. or M.D. degree in a related field and six (6) years of related experience OR M.D. and Master's degree and four (4) years of related experience required. Work experience may NOT substitute for education requirement.

Preferences

  • Doctor of Philosophy (PhD) in biomedical informatics, computing, computer science, data science, artificial intelligence, or a closely related field. PhD completed within the last 10 years preferred.

  • AI/ML Expertise: Deep proficiency with modern machine learning, including deep learning, transformers, graph neural networks, generative models, and foundation models and their application across biomedical and chemical sciences. 

  • Molecular and Structural AI: Hands-on experience with novel AI approaches to molecular dynamics simulations, protein/antibody structure prediction and design, retrosynthesis, and multi-modal drug discovery. 

  • Programming and Engineering: Strong Python skills (PyTorch / JAX / TensorFlow); comfortable with HPC and GPU workflows, modern MLOps, and reproducible computational pipelines.

  • Agentic and Autonomous AI: Experience designing agentic AI workflows or autonomous research systems for science, including LLM tool-use, retrieval-augmented pipelines, and self-driving experimentation loops.   

  • Statistical and Causal Reasoning: Strong statistical foundations including hypothesis testing, Bayesian inference, uncertainty quantification, and causal modeling for biomedical data.  

  • Biomedical Data at Scale: Familiarity with large-scale biomedical, omics, imaging, clinical-trial, and chemical datasets, including data integration across modalities for virtual-cell and multi-modal drug-discovery applications.

Key Skills

  • Leadership: Ability to lead, guide, and mentor a team of researchers and students. 

  • Communication: Excellent verbal and written communication skills for publishing research, delivering presentations, and grant writing. 

  • Collaboration: Ability to work efficiently in a multidisciplinary environment, with the capability to integrate various scientific domains. 

  • Problem-Solving: Strong analytical thinking and the ability to approach complex scientific problems creatively. 

  • Time Management: Ability to manage multiple projects and deadlines effectively.


 

UAB is an Equal Employment/Equal Educational Opportunity Institution dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, sex (including pregnancy), genetic information, age, disability, and veteran's status. As required by Title IX, UAB prohibits sex discrimination in any education program or activity that it operates. Individuals may report concerns or questions to UAB's Assistant Vice President and Senior Title IX Coordinator. The Title IX notice of nondiscrimination is located at uab.edu/titleix.


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