Principal Machine Learning Engineer – Model Efficiency & Optimization

Qualifications

Required

Education & Experience

· MS or PhD in Computer Science, Engineering, Mathematics, or related field (PhD preferred)

· 10+ years of experience in Machine Learning / AI, with focus on

o Model optimization

o Efficient deep learning

o Large-scale model deployment

· Demonstrated track record of contributions to model efficiency (e.g., publications, patents, or industry impact)

· Proven experience optimizing large-scale language and/or vision models for production

· Deep understanding of trade-offs between model quality, size, and inference performance

Technical Expertise

· Deep expertise in model optimization and compression techniques (e.g., quantization, pruning)

· Strong knowledge of efficient deep learning methodologies

· Expertise in Vision-Language Models (VLMs) and multimodal optimization challenges

· Strong programming skills in Python and deep proficiency with PyTorch or similar frameworks

· Experience with distributed training systems and large-scale experimentation workflows

· Strong evaluation methodology for optimized models, including benchmarking, efficiency profiling, and regression analysis

Leadership & Communication

· Recognized technical authority in model optimization or efficient AI systems

· Proven ability to influence technical direction without formal authority

· Strong track record of driving applied research → production impact

· Excellent communication skills, with the ability to clearly articulate complex trade-offs

· Collaborative mindset with the ability to align cross-functional teams