Senior ML Engineering Manager — Scale Production Models

Hive; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Deploy in San Francisco is hiring a Machine Learning Manager to lead a team of ML engineers tackling terabyte-scale datasets, experimenting with new models, and mentoring juniors. You will shape the technical roadmap and contribute to production-scale model deployments.

The role emphasizes collaboration with product, engineering, labeling and security teams, with compensation in the $180,000–$250,000 base range plus stock options. Location is San Francisco, CA.

Qualifications

• 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
• 2+ years experience managing machine learning teams
• Ability to understand and make well-reasoned tradeoffs in designing features
• Management skills: set roadmap, mentor, and deliver results
• Experience interviewing engineers and onboarding new team members
• Experience collaborating with product managers and labeling teams

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

Skills

Team management

Deep learning

Model training

NLP/Computer vision/Audio

Education

Bachelor's or Master's in CS or related field

Tools

TensorFlow

PyTorch

Job description

Deploy in San Francisco is hiring a Machine Learning Manager to lead a team of ML engineers tackling terabyte-scale datasets, experimenting with new models, and mentoring juniors. You will shape the technical roadmap and contribute to production-scale model deployments.

The role emphasizes collaboration with product, engineering, labeling and security teams, with compensation in the $180,000–$250,000 base range plus stock options. Location is San Francisco, CA.