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Research Engineer, AI Models
EnCharge AIResearch Engineer pushing AI model quality and efficiency at EnCharge AI. Building fine-tuning pipelines and benchmarking frameworks while collaborating closely with hardware teams.
Tech Stack
Tools & technologiesPythonPyTorch
About the role
Key responsibilities & impact- Research and implement state-of-the-art techniques to accelerate AI inference
- Partner closely with hardware, compiler, and quantization teams
- Build profiling tools and comprehensive benchmarking frameworks
- Build robust fine-tuning workflows for modern AI models
Requirements
What you’ll need- 5+ years of experience in ML research, applied ML, or ML systems
- Strong fundamentals in Python and PyTorch
- Hands-on experience with modern AI models (transformers, diffusion models, or other generative architectures)
- Experience fine-tuning large models and building training/evaluation pipelines
- Deep understanding of transformers, attention mechanisms, & optimization techniques
- Comfort reading and implementing techniques from research papers
Benefits
Comp & perks- Health insurance
- Flexible work arrangements
- Professional development
ATS Keywords
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Hard Skills & Tools
PythonPyTorchmachine learningAI inferencefine-tuningtransformersdiffusion modelsgenerative architecturestraining pipelinesevaluation pipelines