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Machine Learning Engineer - Fine Tuning - Remote

Posted 5 weeks ago
Software Development
Full Time
CA, USA

Overview

As a Machine Learning Engineer specializing in Fine-Tuning at Baseten, you'll create exceptional value for customers by leveraging our world-class infrastructure to fine-tune large language models and/or other modalities, working directly with customers to achieve their specific goals.

In Short

  • Design comprehensive fine-tuning strategies for customer requirements.
  • Develop tools for non-ML experts to fine-tune models.
  • Implement scalable fine-tuning pipelines for AI modalities.
  • Engage directly with customers to understand and guide technical implementations.
  • Utilize state-of-the-art fine-tuning methods.
  • Build efficient systems for data preparation and deployment.
  • Research cutting-edge techniques in model customization.
  • Create frameworks for evaluating model performance.
  • Implement distributed training techniques across hardware configurations.
  • Shape product roadmap with insights from customer interactions.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 3+ years of experience in ML engineering with a focus on model training and fine-tuning.
  • Experience with advanced fine-tuning frameworks like PyTorch Lightning.
  • Hands-on experience fine-tuning or pre-training LLMs.
  • Excellent communication skills.

Benefits

  • Competitive compensation package including flexible PTO.
  • Opportunity to be part of a rapidly growing startup.
  • Inclusive and supportive work culture.
  • Exposure to various ML startups for learning and networking.
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Baseten

Baseten is a rapidly growing startup focused on creating a positive employee experience through innovative HR practices. As the first dedicated HR hire, the People Operations Specialist will play a crucial role in shaping the company's HR systems, managing employee benefits, overseeing onboarding and offboarding processes, and ensuring compliance with international hiring regulations. The company prides itself on its inclusive and supportive work culture, offering competitive compensation, unlimited PTO, and opportunities for professional growth and networking within the machine learning startup community.

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