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!