Manager, Machine Learning Operations
Zefr
full-time
Posted on:
Location Type: Hybrid
Location: Marina del Rey • California • United States
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Salary
💰 $170,000 - $230,000 per year
About the role
- Lead, mentor, and grow a team of Machine Learning Engineers, fostering a culture of innovation and continuous improvement
- Design and implement scalable ML infrastructure for model training, deployment, and serving
- Establish and enforce best practices for ML model lifecycle management, including versioning, testing, and monitoring
- Develop and maintain CI/CD pipelines for machine learning workflows
- Optimize model inference performance and reduce latency/cost across production systems
- Collaborate with ML Engineers and Data Scientists to productionize models efficiently
- Implement robust monitoring, alerting, and observability solutions for ML systems
- Drive technical decisions on ML Ops tooling, infrastructure, and architecture
- Ensure high availability and reliability of ML services at scale
- Manage project timelines, priorities, and resource allocation for the ML Ops team
Requirements
- Bachelor's or Master's degree in Computer Science or related field with 5+ years of professional experience in ML Engineering or MLOps
- 2+ years of experience managing or leading engineering teams
- Deep expertise in ML model deployment, serving infrastructure, and production ML systems
- Hands-on experience with transformer architectures (e.g., BERT, ViT) for natural language and vision tasks.
- Strong understanding of multimodal embedding techniques for integrating text, image, audio, and structured data.
- Experience with LLM models such as Gemini, GPT, Claude, Qwen, etc.
- Experience with ML experiment tracking, model versioning, and feature stores
- Strong understanding of CI/CD principles applied to ML workflows
- Experience optimizing model inference performance (ONNX, TensorRT, or similar)
- Excellent leadership, communication, and stakeholder management skills
- Track record of building and scaling high-performing engineering teams
- Openness to new technologies and creative solutions
Benefits
- Flexible PTO
- Medical, dental, and vision insurance with FSA options
- Company-paid life insurance
- Paid parental leave
- 401(k) with company match
- Professional development opportunities
- 14 paid holidays off
- Flexible hybrid work schedule
- "Summer Fridays" (shorter work days on select Fridays during the summertime)
- In-office lunches and lots of free food
- Optional in-person and virtual events (we like to celebrate!)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine Learning EngineeringMLOpsML model deploymenttransformer architecturesmultimodal embedding techniquesLLM modelsML experiment trackingmodel versioningfeature storesCI/CD principles
Soft Skills
leadershipcommunicationstakeholder managementteam managementinnovationcontinuous improvementproject managementresource allocationcollaborationtechnical decision-making
Certifications
Bachelor's degree in Computer ScienceMaster's degree in Computer Science