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Machine Learning Engineer
Machine Learning EngineerShe Recruits, LLC • San Francisco, CA, United States
Machine Learning Engineer

Machine Learning Engineer

She Recruits, LLC • San Francisco, CA, United States
30+ days ago
Job type
  • Full-time
Job description

Machine Learning Engineer Location : San Francisco, CA Salary Range : $130,000 - $200,000

About Us : Join our innovative AI company in San Francisco, where we're redefining how knowledge is accessed and understood. We're looking for a passionate Machine Learning Engineer with a deep understanding of machine learning, an experimental mindset, and the drive to thrive in a fast-paced startup environment.

Key Responsibilities :

  • Develop and train state-of-the-art machine learning models, optimizing them to tackle complex real-world problems.
  • Design and implement an RLAIF (Reinforcement Learning from AI Feedback) pipeline to enhance our search functionalities.
  • Dive into new model architectures-have a novel idea? Prototype it, test it, and see how it stacks up against existing solutions!
  • Work with extensive datasets, crafting large-scale, high-quality data solutions to power our models.

Requirements :

  • Experience : 2-15 years in a commercial ML role; startup orientation and enthusiasm for AI innovation are highly valued over years alone.
  • Technical Proficiency : Advanced skills in Python and frameworks such as TensorFlow, PyTorch, Keras, and / or scikit-learn.
  • Specialized Skill : Ability to code a transformer from scratch in PyTorch.
  • Education : Graduate-level machine learning experience from a top-tier university (proof of grades required).
  • Mindset : A strong commitment to improving knowledge accessibility, with a keen understanding of its global impact.
  • What We Offer :

  • Compensation : Competitive salary up to $200k, with equity options.
  • Benefits : Comprehensive medical, dental, vision, and life insurance.
  • Wellness : Gym reimbursement and nutritious office lunches and dinners.
  • Come contribute to an AI future that brings knowledge closer to everyone-apply today to be a part of our journey!

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