Machine Learning Engineer
She Recruits, LLC
- +2
- +5
- California, United States
- +2
- +5
- California, United States
Über
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!
Wünschenswerte Fähigkeiten
- Keras
- PyTorch
- Python
- Scikit-learn
- TensorFlow
Berufserfahrung
- Data Engineer
- Machine Learning
Sprachkenntnisse
- English
Hinweis für Nutzer
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