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ZefrZE

Manager, Machine Learning Operations (MLOps)

Zefr is a leading global technology company specializing in brand suitability targeting and measurement across walled garden platforms, committed to responsible marketing.

Zefr

Employee count: 201-500

Salary: 170k-230k USD

United States only

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Zefr is hiring a Manager of Machine Learning Operations to lead the ML Ops team and drive the infrastructure, tooling, and processes that enable machine learning systems to operate at scale.

Requirements

  • Lead, mentor, and grow a team of Machine Learning Engineers
  • Design and implement scalable ML infrastructure for model training, deployment, and serving
  • Establish and enforce best practices for ML model lifecycle management
  • 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

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
  • In-office lunches and lots of free food
  • Optional in-person and virtual events

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Salary

Salary: 170k-230k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Zefr

Learn more about Zefr and their company culture.

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What started in a small but vibrant office in Los Angeles has now evolved into Zefr, a global leader in brand suitability targeting and measurement. Established in 2009, Zefr was co-founded by Rich Raddon and Zach James, who shared a vision to enhance digital advertising's responsibility. Over the years, Zefr has transformed from a nascent startup into a powerhouse that powers brand safety across the complex landscapes of social media platforms.

Zefr's technology is fundamentally built for walled gardens, meticulously analyzing over 5 billion pieces of content daily to ensure that brand advertising meets rigorous safety and suitability standards. By utilizing advanced AI and machine learning, Zefr provides advertisers with critical insights into content adjacency, allowing brands to connect with their target audiences in a meaningful and ethical manner. This commitment to accountability not only serves the needs of advertisers but also safeguards the interests of viewers, ensuring that everyone in the digital ecosystem has a more transparent and responsible experience.

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Zefr

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