Bachelor's Degree in computer science or related field
8+ years of experience building web applications
Expertise in machine learning frameworks like PyTorch or TensorFlow
Strong skills in scripting languages such as Python and shell scripts
Experience with highly-available distributed systems/microservices
Ability to lead end-to-end development of new products
Subject matter expertise in a machine learning focus area (e.g., computer vision, NLP)
Responsibilities
Design and implement ML models for production use cases
Write and maintain scalable, performant cross-platform code
Suggest and execute improvements to product and backend systems
Enhance engineering standards, tooling, and processes
Develop novel ML algorithms for large-scale applications
Conduct research experiments to optimize model performance
Mentor and onboard new ML engineers
Lead collaboration with cross-functional teams
Benefits
Opportunities for professional growth and development
Access to cutting-edge technology and tools
Collaborative and innovative work environment
Flexible work arrangements
Potential for stock options as part of the compensation package
Full Job Description
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.
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 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
Improve engineering standards, tooling, and processes
Develop novel, accurate, and performant ML algorithms for use at scale
Conduct metric-driven research experiments to improve model performance
Provide mentorship to and help onboard ML engineers
Lead cross-functional collaboration with other teams
Contribute to defining strategic direction, planning the roadmap
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
Minimum Requirements
You have a Bachelor's Degree in computer science or a related field
You have 8+ years of experience building web applications
You have successfully implemented highly-available distributed systems/microservices
You have delivered scalable backend APIs
You have strong interpersonal and communication skills with a bias towards action
You have experience writing code and training across distributed systems
You have the ability to understand and make well-reasoned tradeoffs in designing features
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
You can lead end to end development of new products
The current expected base salary for this position ranges from $200,000 - $300,000. Actual compensation may vary depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
About Hive
Hive is a project management and collaboration platform that helps teams work together more efficiently. The company was founded in 2015 and is headquartered in New York, New York. Hive's platform includes features such as task management, time tracking, and team collaboration tools. The company serves clients in a variety of industries, including technology, healthcare, and finance. Hive is committed to providing a user-friendly and customizable platform that helps teams stay organized and productive.