Research, develop and implement ML models using Transformers, LLMs, and classical ML algorithms for search and recommendation use cases
Be proficient in optimized inference engines/frameworks like vLLM, TensorRT
Fine-tune LLMs and Diffusion models
Conduct innovative research on novel LLM architectures and training methods, focusing on creative applications
Develop robust methods to evaluate LLM performance

Requirements

Masters' degree or PhD in computer science, statistics, engineering, or other relevant subject area highly preferred
5+ years of relevant experience required
Be proficient in Python, PyTorch, Hugging Face Ecosystem
Proficient in optimized inference engines/frameworks like vLLM, TensorRT
Align text, visual and other modalities by fine-tuning Transformer-based models for the creative domain

Benefits

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities

Applicant Tracking System Keywords

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

Hard Skills & Tools

machine learningtransformerslarge language modelsclassical ML algorithmsfine-tuningevaluation methodsPythonPyTorchHugging Face EcosystemDiffusion models

Certifications

Masters degreePhD