Machine Learning Engineer

1 month ago

Seattle WA, United States Hive Full time

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world’s largest, fastest growing, 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. Staff 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.
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 speed
Write and maintain scalable, performant code that can be shared across platforms
Contribute meaningfully to the product and core backend systems by suggesting and executing improvements
Conduct metric-driven research experiments to improve model performance
Provide mentorship to and help onboard ML engineers
Maintain awareness of industry best practices for data maintenance handling as it relates to your role
Adhere to policies, guidelines and procedures pertaining to the protection of information assets
Report actual or suspected security and/or policy violations/breaches to an appropriate authority
You have a Bachelor's Degree in computer science or a related field
You have 8+ years of experience building web applications
You have delivered scalable backend APIs
You have experience writing code and training across distributed systems
You are an expert in machine learning frameworks, such as PyTorch or Tensorflow
You are an expert in scripting languages such as Python and/or shell scripts, particularly for data analysis
You are a subject matter expert in at least one focus area of machine learning, such as computer vision or natural language processing
The work you do here will have a noticeable and direct impact on the development of the company.
stock options may be offered in addition to the range provided here.
Employees are eligible to participate in a number of Company-sponsored benefits, including health, vision and dental insurance. In addition, employees will be entitled to paid vacation in accordance with the Company's vacation policy.
Hired applicant may receive an equity grant in the form of an option to purchase stock in the future for a specified price.
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