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Senior Machine Learning Engineer

Hive· Hive – Product & Engineering
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Hybrid (Seattle, WA)$160k - $250kFull-timePosted 11mo ago

About the role

Senior ML Engineer role at Hive, focusing on building production-scale deep learning models, data pipelines, and contributing to core backend and product systems, with mentorship and cross-functional collaboration.

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 and secure code that can be shared across platforms
  • Meaningfully contribute to the product and core backend systems by suggesting and executing improvements
  • Improve engineering standards, tooling, processes and security
  • 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 junior ML engineers
  • Collaborate cross-functionally with other teams
  • Utilize OWASP top 10 techniques to secure code from vulnerabilities
  • 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
  • Minimum of 5 years of building production scale ML models
  • Experience with modern ML frameworks (e.g., PyTorch or TensorFlow)
  • Expertise in scripting languages such as Python and/or shell scripts for data analysis
  • Experience writing code and training across distributed systems
  • Ability to understand and make well-reasoned tradeoffs in designing features
  • Ability to lead end-to-end development of new products
  • Knowledgeable in at least one focus area of ML (e.g., computer vision or NLP)
  • Strong emphasis on high code quality, automated testing, and engineering best practices
  • Attention to detail and passion for correctness
  • Comfort with ambiguity and scoping solutions with teammates
  • Strong interpersonal and communication skills with a bias towards action

Skills

Required:Machine learning model developmentPythonShell scriptingDistributed systemsPyTorch or TensorFlow

Benefits

  • Health, vision and dental insurance
  • Gym membership
  • Paid vacation according to the company's vacation policy
  • Equity grant in the form of stock options (may be offered)
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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