Machine Learning Research Scientist

2 months ago

California, United States Acceler8 Talent Full time
About the Company

We are a cutting-edge startup based in the San Francisco Bay Area, revolutionizing the electronics and semiconductor industry with our innovative generative models. Backed by top investors in Silicon Valley, we collaborate with leading semiconductor companies and boast a team of former Stanford researchers and engineers from top tech giants.

About the Role

As a Machine Learning Research Engineer, you will be at the forefront of developing and optimizing complex models, structuring data for training, and designing innovative search and retrieval algorithms. Your work will be crucial in creating and implementing model evaluations that set new standards in the industry. This role is perfect for someone who thrives in a fast-paced, challenging environment and is excited about solving real-world problems.

What We Can Offer You
  • Competitive salary and benefits package
  • Opportunities for professional growth and development
  • Collaborative and inclusive work environment
  • Access to state-of-the-art technology and resources
  • Flexible working hours and remote work options
  • Supportive team culture focused on innovation and excellence
Key Responsibilities
  • Develop and evaluate extensive systems comprising interconnected LLMs, NLP models, and retrieval algorithms
  • Structure data for training complex models
  • Build and optimize both open-source and closed-source models, considering various constraints
  • Design and execute innovative search and retrieval algorithms
  • Create and implement model evaluations
  • Build the world's most knowledgeable AI model in semiconductors and electronics

Keywords: LLM, Large Language Model, Machine Learning, Deep Learning, ML, Neural Networks, NLP, Natural Language Processing, Applied Scientist, Open-Source, OSS, Quantization, Sparsity, Pruning, Neural Architecture Search, Hardware Acceleration, Training, Inference, Tensorflow, PyTorch, JAX

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