AI Research Engineer — Representation Learning
USA - Georgia - Alpharetta - 30005, United States
USD 135K-195K (estimate) Senior-level Full Time
Tasks
- Analyze internal representations and embeddings
- Apply modern deep learning techniques including sequence to sequence diffusion models
- Build transformer based models for structured time series credit data
- Collaborate with machine learning engineering team
- Conduct ablations hyperparameter sweeps controlled experiments
- Create research prototypes for production integration
- Extend models into discriminative and generative architectures
- Train evaluate and debug deep learning models
Perks/Benefits
- 401k matching
- Guided career tracks
- Healthcare packages
- Online learning platform
- Organizational growth potential
- Paid time off
Skills/Tech-stack
Ablation Studies | Attention Mechanisms | Diffusion Models | Embedding visualization | Generative Modeling | Gradient Stability | Hyperparameter Sweeps | Kernel CCA | Latent Space | Learning Rate | Learning Rate Scheduling | Linear Algebra | Mechanistic Interpretability | Probability | PyTorch | Python | Representation Learning | Sequence Modeling | Sequence to sequence | Series modeling | Sparse Autoencoders | Statistics | TensorFlow | Time Series | Time Series Embeddings | Time Series Modeling | Transformers
Education
Roles
Regions
Countries
States
Cities
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