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Pytorch Huggingface Jobs in Washington, DC (NOW HIRING)

BCC-NIH

Staff Scientist

Bethesda, MD · On-site

Proficiency in deep learning frameworks (PyTorch preferred; TensorFlow or HuggingFace acceptable) * Deep understanding of neural network architectures (CNNs, transformers, sequence models) * Strong ...

SAIC

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras. * Demonstrated professional or academic experience with the HuggingFace ...

SAIC

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras. * Demonstrated professional or academic experience with the HuggingFace ...

BCC-NIH

Staff Scientist

Bethesda, MD · On-site

Proficiency in deep learning frameworks (PyTorch preferred; TensorFlow or HuggingFace acceptable) * Deep understanding of neural network architectures (CNNs, transformers, sequence models) * Strong ...

Bridge Core (BCore)

Data Scientist

Mclean, VA

$190K - $225K/yr

Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras * Demonstrated professional or academic experience with the HuggingFace ...

J5 Consulting

Data Scientist

Mclean, VA · On-site

Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras * Demonstrated professional or academic experience with the HuggingFace ...

Armison Tech

Data Scientist

Mclean, VA · On-site

Demonstrated experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras. * Experience with HuggingFace Transformers libraries and hub. * Experience with creating machine learning ...

Bcore

Data Scientist with Security Clearance

Mclean, VA · On-site

$190K - $225K/yr

Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras * Demonstrated professional or academic experience with the HuggingFace ...

Armison Tech

Data Scientist

Mclean, VA · On-site

Demonstrated experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras. * Experience with HuggingFace Transformers libraries and hub. * Experience with creating machine learning ...

Bridge Core (BCore)

Data Scientist

Mclean, VA · On-site

$190K - $225K/yr

Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras * Demonstrated professional or academic experience with the HuggingFace ...

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All JobsPytorch Huggingface JobsPytorch Huggingface Jobs in Washington, DC

Pytorch Huggingface information

What are the key skills and qualifications needed to thrive as a PyTorch Huggingface engineer?

To thrive as a PyTorch Hugging Face Engineer, you need a strong background in deep learning, Python programming, and experience with machine learning frameworks, supported by a relevant degree such as computer science or engineering. Familiarity with PyTorch, Hugging Face Transformers library, version control systems like Git, and often cloud platforms (e.g., AWS, GCP) is essential, with certifications in machine learning or cloud technologies being advantageous. Strong problem-solving skills, collaboration, and clear communication help you effectively design, implement, and optimize NLP models in cross-functional teams. These skills ensure you can build state-of-the-art AI solutions efficiently, troubleshoot complex challenges, and deliver impactful results in the fast-evolving field of natural language processing.

What is the difference between Pytorch Huggingface vs Machine Learning Engineer?

AspectPytorch HuggingfaceMachine Learning Engineer
CredentialsProficiency in Python, deep learning frameworks, familiarity with NLP librariesDegree in CS, data science, or related field; experience with ML models
Work EnvironmentResearch labs, AI startups, tech companies focusing on NLP and deep learningTech companies, consulting firms, R&D departments across industries
UsageDeveloping NLP models, fine-tuning transformers, deploying AI solutionsDesigning, building, and deploying ML models across various domains

While Pytorch Huggingface specializes in NLP model development using transformer architectures, Machine Learning Engineers work across diverse ML applications. Pytorch Huggingface skills are often part of a Machine Learning Engineer's toolkit, but the roles differ in scope and focus.

What is a PyTorch Huggingface engineer?

PyTorch Hugging Face developers are professionals who specialize in building and deploying machine learning and natural language processing (NLP) models using PyTorch, an open-source deep learning framework, and the Hugging Face library, which provides a wide range of pre-trained models and tools for NLP tasks. These developers create, fine-tune, and implement models for tasks like text classification, question answering, and language generation. Their expertise includes working with model architectures such as BERT, GPT, and others, as well as integrating models into applications or research projects.

How do PyTorch Huggingface engineers typically collaborate with data scientists and researchers in a project setting?

PyTorch Huggingface engineers often work closely with data scientists and researchers to implement, fine-tune, and deploy state-of-the-art machine learning models. Collaboration involves regular discussions to understand project objectives, translating research ideas into efficient code, and iterating on model performance. Engineers are responsible for optimizing model pipelines, integrating new features, and ensuring compatibility with the Huggingface ecosystem. Effective communication and teamwork are essential, as projects usually require frequent feedback loops and joint problem-solving sessions.
What are popular job titles related to Pytorch Huggingface jobs in Washington, DC? For Pytorch Huggingface jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Pytorch Huggingface jobs in Washington, DC look for? The top searched job categories for Pytorch Huggingface jobs in Washington, DC are:
Pytorch Huggingface jobs near you

Staff Scientist

BCC-NIH

Bethesda, MD • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Job description

Overview

Black Canyon Consulting is seeking a Staff Scientist to work with a Principal Investigatory in the National Institutes of Health at the National Library of Medicine to support the development of high-fidelity artificial intelligence models designed to decode the functional landscape of the human and mouse genomes. This effort will leverage Telomere-to-Telomere (T2T) reference assemblies to advance understanding of gene regulation, particularly within complex and repetitive genomic regions.

This position requires a unique combination of computational genomics expertise, machine learning proficiency, and scalable software engineering capabilities to support large-scale data integration and model development.

Responsibilities
  • Lead the design, development, and implementation of AI-driven models for gene regulation analysis
  • Architect and scale a TREDNet-based framework for cloud-native execution
  • Optimize models for distributed, multi-GPU training environments
  • Integrate and analyze large-scale genomic and epigenomic datasets, including:
    • ENCODE / modENCODE
    • NIH Roadmap Epigenomics
    • UCSC Genome Database
  • Apply AI methodologies to functionally annotate repetitive genomic regions, including centromeres and telomeres
  • Develop and maintain scalable, containerized pipelines using Docker and/or Singularity
  • Implement MLOps best practices, including experiment tracking, model versioning, and reproducibility
  • Deploy and manage workflows in cloud environments (AWS, GCP, or Azure)
  • Collaborate with interdisciplinary teams across computational and life sciences domains
Required Qualifications
  • PhD in Computer Science, Computational Biology, Bioinformatics, or a related field
  • Minimum of 5 years of experience developing and deploying machine learning or deep learning models
  • Strong experience with cloud platforms (AWS, GCP, or Azure)
  • Proficiency in deep learning frameworks (PyTorch preferred; TensorFlow or HuggingFace acceptable)
  • Deep understanding of neural network architectures (CNNs, transformers, sequence models)
  • Strong programming skills in Python and experience working in Linux-based environments
  • Experience with MLOps practices, including experiment tracking and model versioning
  • Experience building and deploying containerized workflows (Docker and/or Singularity)
  • Experience with distributed training across GPUs or multi-node environments
  • Strong knowledge of genomics, gene regulation, and epigenomics
  • Experience working with large-scale biological datasets (e.g., ENCODE, Roadmap Epigenomics, UCSC Genome Browser)
  • Familiarity with genomics data formats (FASTA, VCF, BAM/CRAM, BED)
Preferred Qualifications
  • Experience with Telomere-to-Telomere (T2T) genome assemblies
  • Experience analyzing repetitive genomic regions (e.g., centromeres, telomeres)
  • Background in regulatory, functional, or comparative genomics (e.g., human vs. mouse)
  • Experience with hyperparameter tuning and large-scale model optimization
  • Familiarity with genomic foundation models or sequence-based deep learning approaches
  • Experience running ML workloads on GPU-enabled cloud or HPC environments
  • Familiarity with workflow orchestration tools (e.g., Nextflow, Snakemake, Airflow)
  • Experience transitioning research models into production-grade pipelines
  • Familiarity with CI/CD and infrastructure-as-code tools (e.g., Terraform)
  • Experience working in interdisciplinary teams
Deliverables
  • Develop a containerized (Docker/Singularity) TREDNet pipeline capable of scaling across multiple GPU nodes in a cloud environment
  • Produce a comprehensive functional map of the T2T reference genome, identifying regulatory motifs in previously unresolved regions
  • Develop comparative models between human and mouse cell lines to identify conserved regulatory mechanisms
Benefits and Salary

We attract the best people in the business with our competitive benefits package, including medical, dental, and vision coverage; a 401(k) plan with employer contribution; paid holidays, vacation, and tuition reimbursement.

We offer a competitive salary commensurate with experience and location. The targeted range for this position is $110,000 - $140,000.

If you enjoy being part of a high-performing, professional, technology-focused organization, please apply today!

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