Chainer Developer

San Francisco FULL TIME $80,000 - $120,000 / Year
($6,666 - $10,000 / Month)

Job Description

Join our team as a Chainer Developer, where you will leverage your expertise in deep learning to develop and maintain neural networks. The role requires collaboration with cross-disciplinary teams to drive forward-thinking projects.

Responsibilities

  • Design and implement deep learning algorithms using Chainer.
  • Conduct performance testing and benchmarking on neural network models.
  • Work closely with cross-functional teams to align projects with business goals.
  • Use various tools for data analysis, reporting, and visualization.
  • Prototype and iterate on AI solutions based on feedback.
  • Ensure compliance with security standards and best practices in software development.

Requirements

Education
  • Bachelor's degree in Data Science or related field
  • Master's degree in Artificial Intelligence is preferred
Experience
  • 3+ years of hands-on experience in deep learning and model optimization
Technical Skills
  • Deep Learning
  • Reinforcement Learning
Soft Skills
  • Creative Problem Solving
  • Attention to Detail
Certifications
  • Google Professional Machine Learning Engineer
  • Deep Learning Specialization by Coursera
Languages
  • English: Fluent

Advantageous

  • Experience with natural language processing: Expertise in NLP techniques for text data analysis.
  • Hands-on experience with Git for version control: Proficiency in managing project versions and collaboration.

Benefits

  • Comprehensive health, dental, and vision coverage
  • Generous 401(k) plan with a matching contribution
  • Flexible working hours and hybrid work model
  • Employee wellness initiatives and programs

Company Culture

  • Continuous Learning: We invest in the continuous learning and development of our team members.
  • Work-Life Balance: We believe in maintaining a healthy work-life balance for all employees.
  • Empowered Decision-Making: Our culture encourages employees to take initiative and make impactful decisions.
Status: Closed