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Biology Machine Learning Intern Jobs in Atlanta, GA

Saige

Marketing Intern

Atlanta, GA

$15 - $19.75/hr

... and machine learning to recommend meals, which we then cook out of our commercial kitchen and ... intern, you are also entitled to $25 in food credits for each week with at least 15 hours worked.

Saige

Marketing Intern

Atlanta, GA · On-site

$15 - $19.75/hr

... and machine learning to recommend meals, which we then cook out of our commercial kitchen and ... intern, you are also entitled to $25 in food credits for each week with at least 15 hours worked.

Garver

Water Engineering Intern

Atlanta, GA · On-site

$16 - $21/hr

Enhance your professional growth by collaborating with Garver's Learning and Development team ... Requirements: * Candidates must be pursuing a civil, environmental, or biological/biosystems ...

Garver

Water Engineering Intern

Atlanta, GA

$16 - $20.75/hr

Enhance your professional growth by collaborating with Garver's Learning and Development team ... Candidates must be pursuing a civil, environmental, or biological/biosystems engineering bachelor ...

Equifax

Data & Analytics Intern

Alpharetta, GA · On-site

The program is designed to support research and advanced development techniques for Artificial Intelligence (AI) and Machine Learning (ML). What you will do: * Enable building the AI/ML prototypes ...

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How much do biology machine learning intern jobs pay per year?

As of Aug 19, 2026, the average yearly pay for biology machine learning intern in Atlanta, GA is $40,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,300.00 and $44,200.00 per year, depending on experience, location, and employer.

What does a biology machine learning intern do?

A Biology Machine Learning Intern works at the intersection of biology and computer science, applying machine learning techniques to analyze biological data. Their tasks often include processing large datasets, building predictive models, and supporting research projects that use artificial intelligence to solve biological problems. Interns may work on projects like drug discovery, genomics, or protein structure prediction, and typically collaborate with scientists and engineers. This role helps bridge the gap between experimental biology and data-driven insights.

What kinds of projects does a biology machine learning intern typically work on, and how do these projects contribute to the team?

Biology Machine Learning Interns often work on interdisciplinary projects that apply machine learning techniques to analyze biological data, such as genomics, protein structures, or cellular imaging. These projects may involve developing predictive models, automating data processing pipelines, or extracting meaningful patterns from large, complex datasets. Interns usually collaborate closely with both biologists and data scientists, gaining hands-on experience and contributing valuable insights that support ongoing research or product development. This collaborative environment not only enhances technical skills but also provides exposure to real-world applications of AI in life sciences.

What are the key skills and qualifications needed to thrive as a biology machine learning intern, and why are they important?

To thrive as a Biology Machine Learning Intern, you need a foundational understanding of biology, statistics, and programming (usually Python or R), often supported by coursework or a degree in a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), bioinformatics tools, and data analysis platforms is typically expected. Strong problem-solving abilities, attention to detail, and teamwork skills help interns excel in interdisciplinary research environments. These skills and qualities are crucial for effectively analyzing biological data, developing models, and contributing to innovative scientific solutions.

What are popular job titles related to Biology Machine Learning Intern jobs in Atlanta, GA?

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Cities near Atlanta, GA with the most Biology Machine Learning Intern job openings:

Biology Machine Learning Intern jobs near you

ML Software Engineer Intern - Ai/cad Integration

Front Door Defense

Atlanta, GA • On-site

Other

Posted yesterday

New

Job description

Are you passionate about applying machine learning to transform the future of semiconductor design? At Falcomm, we are on a mission to revolutionize semiconductor technologies by integrating AI-driven solutions into the design and development of our energy‑efficient power amplifier products. As a ML Software Engineer Intern in AI/CAD Integration, you will collaborate with our team of experts to develop and deploy AI/ML models that enhance CAD workflows, automate design processes, and accelerate innovation in RFIC design. This role offers a unique opportunity to work at the intersection of software engineering, machine learning, and semiconductor design, contributing directly to tools and methodologies that drive next‑generation hardware solutions.

We are seeking an intern who thrives in a fast‑paced environment, is eager to tackle complex technical challenges, and is motivated to turn AI research into practical engineering solutions. If you have a strong foundation in machine learning, software development, and a desire to apply these skills to advance semiconductor innovation, we invite you to join us. At Falcomm, your creativity and technical expertise will help shape energy‑efficient technologies that set new industry standards.

Responsibilities
  • Design and implement code for training/serving ML models in chip design workflows
  • Automate creation of large datasets for training models
  • Integrate ML models into existing chip design software infrastructure
  • Write comprehensive tests and documentation
  • Collaborate with engineers to understand model requirements and deployment needs
  • Participate in code reviews and follow software engineering best practices
  • Research and evaluate new technologies for ML model serving and deployment
Qualifications
  • Currently pursuing a degree in Computer Science, Electrical Engineering, or related field
  • Strong Python programming skills with experience in scripting and automation
  • Understanding of software engineering principles and code organization
  • Experience with data processing libraries (pandas, numpy, scipy)
  • Familiarity with machine learning frameworks (PyTorch, TensorFlow, scikit‑learn)
  • Basic understanding of file I/O, data parsing, and format conversion
  • Experience with version control systems (Git) and collaborative development
Preferred Skills
  • Exposure to CAD tools or EDA software (Cadence, Synopsys, Mentor Graphics, etc.)
  • Knowledge of chip design file formats (GDSII, LEF/DEF, Verilog, SPICE)
  • Experience with shell scripting (bash) and command‑line tools
  • Understanding of semiconductor design concepts
  • Familiarity with Linux environments
  • Experience with workflow automation and batch processing systems
  • Knowledge of data visualization tools (matplotlib, plotly) for design analysis
  • Understanding of software testing frameworks and debugging techniques
Benefits
  • Competitive Salary
  • 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.
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