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Internship Machine Learning Chemistry Jobs (NOW HIRING)

Corning

... on academic, internship, personal, or professional projects. - Strong Python foundation and hands-on experience with at least one machine learning library or framework such as scikit-learn ...

TikTok

$42.75/hr

The team is made up of machine learning researchers and engineers, who support and innovate on ... Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ...

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Internship Machine Learning Chemistry information

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$25.5K

$42.6K

$88K

How much do internship machine learning chemistry jobs pay per year?

As of Aug 19, 2026, the average yearly pay for internship machine learning chemistry in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is an internship in machine learning chemistry?

An Internship in Machine Learning Chemistry is a temporary, often academic or industry-based position where students or early-career professionals gain hands-on experience applying machine learning techniques to solve problems in chemistry. Interns may work on projects involving data analysis, molecular modeling, drug discovery, or material design using algorithms and computational tools. The internship provides practical exposure to interdisciplinary research, allowing interns to collaborate with chemists, data scientists, and engineers. It is an excellent opportunity to develop both technical and professional skills in a rapidly growing field.

What are the key skills and qualifications needed to thrive as an internship in machine learning chemistry?

To thrive as an intern in Machine Learning Chemistry, you need a solid understanding of chemistry fundamentals and proficiency in programming languages such as Python, often supported by ongoing or completed coursework in chemistry, computer science, or related fields. Familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow), cheminformatics tools (e.g., RDKit), and data analysis platforms is highly valued. Strong analytical thinking, problem-solving skills, and teamwork set standout candidates apart in collaborative research environments. These skills are important to effectively develop, implement, and interpret machine learning models that address complex chemical problems.

What are some common challenges faced during a machine learning chemistry internship, and how can interns overcome them?

Interns in Machine Learning Chemistry often encounter challenges such as bridging the gap between computational methods and chemical domain knowledge, working with complex and sometimes limited datasets, and adapting to rapidly evolving technologies. To overcome these hurdles, it's helpful to proactively seek mentorship from both data scientists and chemists within the team, dedicate time to learning domain-specific concepts, and regularly participate in team discussions to clarify project goals. Embracing a collaborative mindset and staying curious will also help interns effectively contribute and grow in this interdisciplinary environment.

What is the difference between Internship Machine Learning Chemistry vs Chemistry Research Intern?

AspectInternship Machine Learning ChemistryChemistry Research Intern
Required CredentialsBasic programming, chemistry knowledge, courseworkChemistry coursework, lab skills, basic research experience
Work EnvironmentData analysis, coding, computational toolsLaboratory experiments, chemical analysis
Industry UsageTech companies, research labs integrating ML and chemistryAcademic, industrial chemistry labs
Search & Comparison IntentUnderstanding roles combining ML and chemistry internshipsTraditional chemistry research internship details

Internship Machine Learning Chemistry focuses on applying machine learning techniques to chemistry problems, often involving coding and data analysis. In contrast, Chemistry Research Internships emphasize hands-on laboratory research in chemistry. Both roles require chemistry knowledge, but the former integrates computational skills, making it ideal for those interested in data-driven chemistry careers.

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Cities with the most Internship Machine Learning Chemistry job openings:

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Internship Machine Learning Chemistry jobs near you
Infographic showing various Internship Machine Learning Chemistry job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Last Minute AI-Machine Learning Summer Internship (Gen AI - Multimodal)

Eluvio

Berkeley, CA • On-site

Temporary, Internship

Re-posted 11 days ago

Job description

If you are an outstanding upper undergrad, recent grad or grad student and are looking for an amazing last-minute Summer Internship - this is the opportunity for you! Eluvio AI is growing fast and we have a new internship position available in our Berkeley HQ!

Eluvio is a highly focused and ambitious team of systems, networking, application, and video software engineers, AI scientists, ML engineers, and security experts working together to implement the vision of the Content Fabric - a decentralized platform for video and commerce with the ambition of serving the world's Internet video. The Eluvio Content Fabric provides an innovative distributed and decentralized video processing framework with just-in-time and personalized experiences, made possible through our state-of-the-art real-time content routing and just-in-time code execution. We are headquartered in Berkeley, CA.

Eluvio uses a wide range of machine learning and deep learning techniques within its content fabric. This position offers an internship opportunity for students with excellent academic records pursuing graduate degrees in computer science, data science, or related fields (or advanced undergraduates) to work in our office with our software engineering team on ML, DL and data science solutions.

Responsibilities

  • Work with the Eluvio AI Machine Learning and Data Science Team
  • Build production level machine learning models on large-scale datasets to increase the intelligence of video/audio content
  • Provide data-driven recommendations and actionable insights on problems such as content understanding/augmentation/location
  • Develop multi-functional learning pipelines
  • Collaborate with product and engineering teams to implement models at scale
  • Help train and develop multimodal learning models using advanced learning techniques including RAG, self-supervised learning, semi-supervised, and transductive learning.

Requirements

Desired Qualifications

  • MSc or PhD student in Computer Science & Engineering/Statistics/Math/Physics, or Advanced Undergraduate
  • Deep classroom experience in data science or machine learning or prior internship
  • Comfortable with Python or R
  • Knowledge of machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Sci kit-learn)
  • Knowledge of computer vision and natural language processing
  • Strong working experience with large multi-modal and language models preferred
  • Great communication skills, organized, able to multitask and be a team player
  • Ability to balance attention to detail with agile execution

Benefits

Paid summer internship with one of the top Video AI tech companies in the world!

Catered Lunches (really good food)

Great atmosphere, nice colleagues

Summer Party!