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HiveHiveSeattle, WA

Machine Learning Manager

Leads a team of machine learning engineers to develop, train, and deploy large-scale deep learning models for computer vision, audio, or NLP. Requires 4+ years ML engineering experience and 2+ years managing teams, with strong collaboration across product and engineering.

Salary not listed
On-site4+ YOEEngineering Management

About the role

Responsibilities

  • Interface closely with product management, engineering, devops, labeling, and sales teams to build roadmap in supporting the long term vision of the team
  • Lead a team of highly capable and passionate machine learning engineers, helping them achieve their goals through mentorship
  • Participate in products technical design and architecture
  • Participate in the full development cycle: data collection, labeling, model development, experimentation, training, testing, and deployment in production
  • Drive delivery for our product milestones, continually releasing model with new well tested features and ensuring quality metrics are achieved
  • Implement and manage security protocols such as training, code review, and best practices
  • Own and manage the risk and security of your business function in coordination with the Security Team
  • 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

Requirements

  • Undergraduate or graduate degree in computer science or similar technical field
  • 4+ years experience as a machine learning engineer, with experience in training large deep learning models and working with real world data
  • Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP
  • 2+ years experience managing machine learning teams
  • Ability to understand and make well-reasoned tradeoffs in designing features
  • Management skills: ability to set roadmap and goals for a team and its individual members, delegate, mentor, and deliver results
  • Desire to interview engineers, collaborate with a recruiting team, and smoothly onboarding new team members
  • Experience collaborating with product managers and labeling team in delivering model improvements

Skills

Machine LearningDeep LearningComputer VisionNLPPyTorchTensorFlowLarge-Scale Data ProcessingModel TrainingModel DeploymentData Labeling
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