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Staff Machine Learning Engineer

Hive· Hive – Product & Engineering
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San Francisco$200k - $300kFull-timePosted 11mo ago

About the role

Staff ML Engineer at Hive responsible for prototyping state-of-the-art neural networks, building scalable ML-powered production systems, and leading cross-functional initiatives to deploy models at scale.

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

Qualifications

  • Bachelor's Degree in computer science or a related field
  • 8+ years of experience building web applications
  • Successfully implemented highly-available distributed systems/microservices
  • Delivered scalable backend APIs
  • Strong interpersonal and communication skills with a bias towards action
  • Experience writing code and training across distributed systems
  • Ability to understand and make well-reasoned tradeoffs in designing features
  • Expert in machine learning frameworks, such as PyTorch or Tensorflow
  • Expert in scripting languages such as Python and/or shell scripts, particularly for data analysis
  • Subject matter expert in at least one focus area of machine learning, such as computer vision or natural language processing
  • Ability to lead end to end development of new products

Skills

Required:Machine learning model developmentDistributed systems / microservicesBackend API developmentPyTorch or TensorFlowPython and/or shell scripting
Last updated Jul 29, 2026. Interested? Apply on the company site.

About Hive

AI to Understand, Search, and Generate Content | Hive

Hive's APIs enable developers to integrate pre-trained AI models that address technically challenging content understanding needs into their applications.

ai modelssolutionscontent understandingcomputer visiondeep learningai solutionsdata labeling
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