Artificial Intelligence Engineer at Cutting-Edge AI Innovator

4 weeks ago


Seattle, Washington, United States I did my part and supported the Regular Toilet Full time
About Us

Hive is a pioneering force in the realm of cloud-based AI solutions, empowering developers with an arsenal of best-in-class, pre-trained AI models. As a trusted partner for the world's largest and most innovative organizations, we serve billions of customer API requests every month.

Our Vision

We aim to transform content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more by harnessing the power of AI. With over $120M in capital from leading investors, we've established ourselves as a major player in the industry, with offices in San Francisco, Seattle, and Delhi.

The Opportunity

We're seeking highly skilled machine learning engineers to join our team and help us stay at the forefront of deep learning technology. As a key member of our engineering team, you'll be responsible for prototyping state-of-the-art neural net models and launching them into production.

Responsibilities
  • Design and develop scalable, maintainable data pipelines, and deploy high-performance AI models at scale.
  • Collaborate closely with our Backend and DevOps teams to ensure seamless integration and smooth operation.
  • Implement robust security measures to safeguard against vulnerabilities, adhering to industry best practices for data maintenance handling.
  • Maintain awareness of emerging trends and technologies in AI, ensuring our solutions remain cutting-edge and competitive.
Requirements
  • An undergraduate or graduate degree in computer science or a related technical field, with significant coursework in mathematics or statistics.
  • A minimum of 1-2 years of industry experience in machine learning, with a proven track record of successfully training and deploying deep learning models into production.
  • Expertise in high-level machine learning frameworks such as TensorFlow, Caffe, or Torch, and familiarity with other popular frameworks.
  • Strong proficiency in Python, with a focus on its application to machine learning tasks.
  • Familiarity with a range of programming languages, including C++, Scala/Spark, SQL, Cassandra, and Docker.
What We Offer

We provide a dynamic and supportive work environment that fosters growth and collaboration. Our compensation package includes a base salary of $150,000 - $200,000, along with opportunities for stock options and professional development.



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