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Senior Machine Learning Engineer

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

About the role

Senior ML Engineer role at Hive to design, prototype, and productionize state-of-the-art neural models, build scalable ML pipelines, and contribute to core backend systems and product.

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
  • knowledge of modern ML frameworks such as PyTorch or TensorFlow
  • expert in scripting languages such as Python and/or shell scripts, particularly 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 machine learning (e.g., computer vision or NLP)
  • strong belief in high code quality, automated testing, and engineering best practices
  • attention to detail and a passion for correctness
  • comfort with ambiguity and scoping solutions with teammates
  • strong interpersonal and communication skills with a bias towards action

Skills

Required:Production-scale ML model developmentPyTorch or TensorFlowPython and shell scriptingDistributed systems
Nice to have:MentorshipSecurity and OWASP practices

Benefits

  • Base salary range: $160,000 - $250,000
  • Stock options may be offered in addition to the base range
  • Opportunity to work with terabyte-scale datasets
  • Note: compensation may vary by qualifications, location, and other factors
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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