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Intern Ai Model Training Jobs in Virginia (NOW HIRING)

Whiterabbit.ai

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ...

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Intern Ai Model Training information

What does an intern AI model training do?

An Intern in AI Model Training assists in developing, training, and evaluating artificial intelligence models under the guidance of senior data scientists or machine learning engineers. Their responsibilities may include preparing datasets, running experiments, tuning model parameters, and analyzing results. Interns often use programming languages like Python and frameworks such as TensorFlow or PyTorch. This role provides hands-on experience with real-world data and AI tools, helping interns gain foundational skills for a career in artificial intelligence.

What are the key skills and qualifications needed to thrive as an intern AI model training?

To thrive as an Intern in AI Model Training, you need a solid foundation in computer science, mathematics, and programming languages such as Python, often supported by ongoing studies in a related degree. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), data preprocessing tools, and version control systems is typically expected. Strong analytical thinking, attention to detail, and a willingness to learn are crucial soft skills that help interns excel in this role. These skills are important to effectively contribute to model development, troubleshoot issues, and collaborate within AI research teams.

What is the difference between Intern Ai Model Training vs Data Analyst Intern?

AspectIntern Ai Model TrainingData Analyst Intern
Required SkillsBasic programming, machine learning fundamentals, data preprocessingData analysis, Excel, SQL, statistical understanding
Work EnvironmentAI development teams, tech companies, research labsBusiness teams, finance, marketing, tech firms
CertificationsIntro to Machine Learning, Python programmingData analysis, Excel, SQL certifications

Intern Ai Model Training focuses on developing and training machine learning models, requiring programming and AI fundamentals. Data Analyst Interns analyze data sets to generate insights, emphasizing statistical and analytical skills. Both roles are common in tech and data-driven industries but differ in technical focus and daily tasks.

What are the most commonly searched types of Ai Model Training jobs in Virginia?

The most popular types of Ai Model Training jobs in Virginia are:

Intern Ai Model Training jobs near you

AI Engineer - AI+CryoET

Howard Hughes Medical Institute (HHMI)

Ashburn, VA • On-site

Full-time

Re-posted 8 days ago

Job description

Job Summary:
Howard Hughes Medical Institute (HHMI) is investing significantly to support AI-driven projects in scientific research. The AI Engineer role involves developing AI methods for 3D particle detection and structural analysis in cryo-electron tomography data, collaborating closely with experts across multiple institutions.
Responsibilities:
• Develop and evaluate deep learning models for detecting and localizing gold nanoparticles and macromolecular particles (e.g., nucleosomes, synaptic receptors) in cryoET data, and for identification of nucleosome arrangement and connectivity in chromatin.
• Develop methods to leverage gold nanoparticle detections to improve tomogram reconstruction, addressing challenges in tilt-series alignment, deformations, and low signal-to-noise conditions.
• Design and execute rigorous AI model training and evaluation pipelines, including proper handling of missing wedge artifacts, CTF effects, and sim-to-real transfer from MD-derived synthetic training data.
• Identify where additional human annotation and proofreading will be most helpful and design and guide annotation efforts.
• Contribute to scientific publications, present findings at conferences, and maintain a well-documented codebase enabling seamless reproduction and extension of results.
• Collaborate with interdisciplinary teams across multiple institutions.
Qualifications:
Required:
• Master's or PhD in Computer Science, Applied Mathematics, Physics, Computational Chemistry, or a related field, or equivalent combination of education and experience.
• 3+ years training and evaluating deep learning models, particularly on 3D or volumetric image data. Experience with detection, segmentation, or inverse problems in imaging is strongly preferred.
• Strong Python skills, and proficiency in PyTorch and/or JAX. Ability to reason about neural network behavior from first principles: how architectural choices, regularization, and training procedures affect model behavior.
• Rigorous experimental design: model comparisons, ablation studies, reproducibility.
• Commitment to open science.
• Experience with scalable GPU-based computing environments on Linux HPC clusters and high-throughput processing for large-scale data.
• Excellent communication skills and keen interest in working in a truly interdisciplinary environment.
Preferred:
• Experience with cryo-EM/ET data processing, tomographic reconstruction, or related inverse problems in imaging.
• Familiarity with molecular dynamics simulations (e.g., OpenMM, LAMMPS) and/or synthetic data generation for training ML models.
• Experience with differentiable rendering, neural radiance fields, or analysis-by-synthesis approaches for 3D reconstruction.
• Knowledge of cryoET software tools (IMOD, Warp, RELION, AreTomo etc.) or microscopy data formats (MRC, Zarr).
• Experience with template matching, sub-tomogram averaging, or particle picking in cryo-EM/ET contexts.
Company:
Founded in 1953, HHMI invests in scientists at all career stages who make discoveries that advance human health and our fundamental understanding of biology. Founded in 1953, the company is headquartered in Chevy Chase, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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