AI Engineer - AI+CryoET
Janelia Research Campus, United States
USD 96K-230K Senior-level Full Time
Tasks
- Analyze nucleosome arrangement and connectivity in chromatin
- Build sim to real transfer pipelines from MD derived synthetic data
- Design annotation and proofreading workflows
- Design model training and evaluation pipelines
- Develop deep learning models for particle detection in cryoET data
- Handle missing wedge artifacts and CTF effects
- Improve tomogram reconstruction using nanoparticle detections
- Localize gold nanoparticles in tomograms
- Maintain reproducible documented codebase
- Perform experimental design and ablation studies
- Train and evaluate supervised and self supervised AI models
Perks/Benefits
- Free gym
- Health and welfare benefits
- On-campus housing
- On-site childcare
- Recognition programs
- Retirement plans
- Shuttle bus service
- Social and dining spaces
- Time off
- Wellness programs
Skills/Tech-stack
3D image analysis | Ablation Studies | CTF Correction | Deep learning | GPU Computing | GPU-based Computing | HPC clusters | High Performance | High-Performance Computing | Image Segmentation | Image analysis | Inverse problems | JAX | Linux | Linux HPC | Linux HPC Clusters | Machine Learning | Machine Learning Model | Machine Learning Model Training | Missing Wedge | Model Training | Neural Network | Neural Network Regularization | Object Detection | Open Science | Performance Computing | PyTorch | Python | Reproducibility | Simulation to Real | Simulation-to-Real transfer | Volumetric data
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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