Design and own the fine-tuning and alignment of LLMs and VLMs in PyTorch
Lead efforts in model compression—specifically knowledge distillation, structural pruning, and architectural refinement
Develop and optimize Diffusion-based models for Image, Video, and 3D generation
Strategically evaluate and integrate SOTA open-source and commercial models
Optimize and integrate audio (ASR/TTS), language, and vision models for cross-modal reasoning and interaction

Requirements

Strong foundation in deep learning architectures
Deep expertise in Transformers and Diffusion architectures
Proven track record in algorithmic model optimization (e.g., distillation, quantization-aware training, or pruning)
Skilled in data cleaning, curation, and the creation of synthetic data
Ability to prioritize impact by deciding when to use commercial APIs/OSS weights
Expert proficiency in Python and deep learning frameworks (such as PyTorch)

Benefits

Health Plans
Mental Health support
401(k) Retirement Plan with employer match
Stock Option Program
Disability Programs
Health Savings and Flexible Spending Accounts
Family-forming benefits
Life and Serious Injury Benefits
Paid leave of absence programs
35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
Flexible time off for salaried employees

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

deep learning architecturesTransformersDiffusion architecturesmodel optimizationknowledge distillationquantization-aware trainingpruningdata cleaningdata curationsynthetic data creation

Soft Skills

prioritizationstrategic evaluationdecision making