Data Science Innovator at Hive

1 week ago

Seattle, Washington, United States Hive Full time
About Us

Hive is a leading provider of cutting-edge AI solutions, empowering developers to unlock the full potential of content understanding and generation. As a trusted partner to hundreds of innovative organizations worldwide, we empower our clients with best-in-class, pre-trained AI models that serve billions of customer API requests every month.

We're committed to delivering breakthrough use cases across industries through our turnkey software applications powered by proprietary AI models and datasets. Our solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Our Vision

To execute our ambitious vision, we need talented individuals who share our passion for deep learning technology and innovation. We're looking for skilled machine learning engineers who can stay at the forefront of the latest advancements in neural net models and deploy them into production seamlessly.

As a key member of our team, you'll have the opportunity to work on high-impact projects, contributing innovative ideas and ingenious implementations that drive business growth and success. We value hard workers who are excited about staying up-to-date with industry trends, prototyping state-of-the-art models, and collaborating closely with cross-functional teams.

Key Responsibilities
  • Designing, developing, and deploying machine learning models to meet production requirements, including data gathering, model training, tuning, deployment, and result analysis
  • Closely collaborating with Backend and DevOps teams as well as internal data labeling services to ensure seamless project execution
  • Ensuring secure code practices utilizing OWASP top 10 techniques to prevent vulnerabilities
  • Maintaining awareness of industry best practices for data maintenance handling and adhering to policies, guidelines, and procedures related to information asset protection
Requirements
  • A degree in computer science or a similar technical field with significant coursework in mathematics or statistics
  • 1-2 years of experience in industry machine learning, preferably with a background in deep learning model development and deployment
  • Strong expertise in high-level machine learning frameworks like TensorFlow, Caffe, or Torch, along with familiarity with other popular frameworks
  • Proficiency in Python, especially when applied to ML frameworks, and ability to quickly prototype data pipelines involving Python, Node, bash, and Linux command-line tools
  • Familiarity with C++, Scala/Spark, SQL, Cassandra, Docker, and willingness to learn new technologies as needed
  • Up-to-date knowledge of the latest deep neural net research and architectures, both in theory and implementation
  • Excellent communication skills and ability to work effectively with others as part of a high-performing team
What We Offer

We offer an attractive compensation package, which includes a base salary ranging from $120,000 to $180,000, depending on qualifications, skills, and experience. You'll also be eligible to participate in a number of Company-sponsored benefits, including health, vision, and dental insurance, gym membership, and paid vacation time.

In addition, you may receive an equity grant in the form of an option to purchase stock in the future for a specified price. Join us in shaping the future of AI and making a meaningful impact on the world

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