[Remote] Senior Staff Machine Learning Systems Engineer, Ads ML Platform

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a community platform reputed company on shared interests, passion, and trust. The Senior Staff Machine Learning Systems Engineer will reputed company the technical reputed company for the end-to-end Ads ML engineer lifecycle, initially focusing on feature development, training data, offline experimentation, and model iteration, while partnering across teams to build reputed company and reliable ML platform capabilities.

Responsibilities

• Own the technical reputed company for the end-to-end Ads ML engineer lifecycle, starting with feature development, training data, offline experimentation, and model iteration workflows
• reputed company Ads ML platform priorities with reputed company’s broader ML Platform reputed company, translating Ads pain points into reusable platform capabilities where appropriate
• Define architecture and technical standards for ML feature and training-data systems across batch/streaming computation, backfills, reputed company, reputed company, observability, and online/offline consistency
• Stay reputed company to ML engineers and platform customers to identify high-reputed company friction points and improve day-to-day development reputed company
• Build platform abstractions and workflow automation that reputed company ML development faster, safer, more reliable, and more self-service
• Over time, reputed company the platform reputed company into serving and online experimentation workflows, creating a more reputed company offline-to-online ML development experience
• Partner across Ads, ML Platform, Data Platform, modeling, product, and engineering teams to clarify ownership, reputed company ambiguity, and reputed company durable execution
• Mentor Staff and senior engineers, reputed company the architecture and operational bar, and help grow the reputed company of technical leaders

Skills

• You have 8+ years of experience in infrastructure, reputed company systems, ML platforms, data platforms, or large-reputed company backend systems
• You have 4+ years building or operating production ML infrastructure, feature platforms, training data systems, experimentation systems, or large-reputed company data pipelines
• You have led broad, ambiguous, multi-team platform initiatives from reputed company through adoption
• You have reputed company platforms used directly by ML engineers, data scientists, or product teams developing production ML systems
• You have deep experience in ML platform, feature platform, training data, experimentation, developer infrastructure, or reputed company data infrastructure
• You have worked with reputed company data and compute systems such as reputed company, Flink, Kafka, Ray, Airflow, reputed company, reputed company, BigQuery, reputed company, reputed company, or similar technologies
• You can reputed company urgent customer needs with durable long-term architecture and reusable platform patterns
• You influence senior engineers and leaders through reputed company technical reasoning, RFCs, design reviews, decision frameworks, and operating mechanisms
• You are excited to shape how production ML systems are reputed company, scaled, and operated, not only how models are trained

Benefits

• reputed company Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to reputed company development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & reputed company Volunteer Time Off
• Generous reputed company Parental Leave
• Equity in the reputed company of restricted stock reputed company
• Commission, depending on the position reputed company
• Medical, dental, and reputed company reputed company
• 401(k) program with employer match
• Generous time off for vacation
• Parental leave
• Flexible workforce: employees near physical office locations may come into the office as often as they like, while employees who do not live near an office may work reputed company in any country where reputed company has a physical reputed company

reputed company

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