About Hive
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
Senior Machine Learning Engineer
In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.
Responsibilities
Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speedWrite and maintain scalable, performant and secure code that can be shared across platformsMeaningfully contribute to the product and core backend systems by suggesting and executing improvementsImprove engineering standards, tooling, processes and securityDevelop novel, accurate, and performant ML algorithms for use at scaleConduct metric-driven research experiments to improve model performanceProvide mentorship to and help onboard junior ML engineersCollaborate cross-functionally with other teamsUtilize OWASP top 10 techniques to secure code from vulnerabilitiesMaintain awareness of industry best practices for data maintenance handling as it relates to your roleAdhere to policies, guidelines and procedures pertaining to the protection of information assetsReport actual or suspected security and/or policy violations/breaches to an appropriate authorityRequirements
You have a Bachelor's Degree in computer science or a related fieldYou have a minimum of 5 years of building production scale ML modelsYou know the ins and outs modern machine learning frameworks, such as PyTorch or TensorflowYou are an expert in scripting languages such as Python and/or shell scripts, particularly for data analysisYou have experience writing code and training across distributed systemsYou have an ability to understand and make well-reasoned tradeoffs in designing featuresYou can lead end to end development of new productsYou are very knowledgeable in at least one focus area of machine learning, such as computer vision or NLPYou strongly believe in high code quality, automated testing, and other engineering best practicesYou have attention to detail and a passion for correctnessYou are comfortable with ambiguity and scoping solutions with your teammatesYou have strong interpersonal and communication skills with a bias towards action
