Full-Time
Machine Learning Manager
Cloud-based AI entreprise solution software
AI & Machine Learning
$180,000 - $250,000
Stock Options
Mid
San Francisco, CA, USA
Required Skills
Natural Language Processing (NLP)
Development Operations (DevOps)
Computer Vision
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 onboard new team members
- Experience collaborating with product managers and labeling team in delivering model improvements
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 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
Hive’s mission is to use AI to unlock the next wave of intelligent automation. The company has an industry-leading portfolio of pre-trained models that allow companies of any size to access best-in-class AI solutions at a fraction of the cost and time it would take to build them internally.
Company Stage
Series D
Total Funding
$175.7M
Headquarters
San Francisco, California
Founded
2013
Growth & Insights
Headcount
6 month growth
↑ 11%1 year growth
↑ 57%2 year growth
↑ 76%Benefits
Competitive Pay
Equity
Comprehensive Insurance
Catered Meals
Corporate Gym Membership