Machine Learning Manager

Updated on 5/22/2024



201-500 employees

Cloud-based AI platform for content services

AI & Machine Learning

Compensation Overview

$180k - $250kAnnually

+ Stock Options + Equity Grants


Seattle, WA, USA

Required Skills
Natural Language Processing (NLP)
Development Operations (DevOps)
Computer Vision
  • 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 onboard new team members
  • Experience collaborating with product managers and labeling team in delivering model improvements
  • 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 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 the business function in coordination with the Security Team
  • Maintain awareness of industry best practices for data maintenance handling as it relates to the 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

At Hive AI, employees are at the forefront of advancing cloud-based AI technologies. The company's focus on deep learning and generative AI for content understanding and generation not only positions it as a leader in AI solutions but also fosters a culture of innovation and constant learning. Working here means contributing to groundbreaking AI applications that serve billions of API requests each month, ensuring a dynamic and impactful career in the tech industry.

Company Stage

Series D

Total Funding



San Francisco, California



Growth & Insights

6 month growth


1 year growth


2 year growth



Competitive Pay


Comprehensive Insurance

Catered Meals

Corporate Gym Membership