1 month ago

Senior Machine Learning Systems Engineer, Ads ML Experience Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Design and build large-scale offline ML experimentation platforms and training orchestration frameworks to accelerate the Ads ML lifecycle, enabling reproducible research and efficient model development. Collaborate across ML engineers and researchers to deploy agentic AI tooling, automating promotion, evaluation, and autonomous workflows at scale.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: IT Operations (Systems/Network Admin)

Key Responsibilities

•Design and build large-scale offline ML experimentation platforms that enable reproducible research, model development, evaluation, and promotion workflows.
•Develop production-grade training orchestration frameworks supporting distributed training, hyperparameter optimization, model evaluation, and automated retraining.
•Build infrastructure for experiment tracking, metadata management, lineage, artifact versioning, model registries, and reproducibility.
•Partner with ML engineers and researchers to improve experimentation velocity and operational efficiency.
•Build automated workflows for model promotion, rollback, compliance validation, and continuous evaluation.
•Design and build an agentic AI execution platform supporting autonomous and human-in-the-loop workflows, including multi-agent orchestration, memory/context systems, and scalable workflow infrastructure.

Pay and Benefits

Salary: USD 216,700 - 303,400 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kPaid LeaveParental Leave

Key Requirements

•5+ years in infrastructure/platform engineering or large-scale distributed systems.
•2+ years of hands-on experience building and operating production ML infrastructure, developer SDKs, platform APIs, or self-service AI tooling.
•Experience building workflow orchestration systems, developer platforms, or large-scale automation frameworks.
•Experience with distributed data processing systems such as Spark, Flink, Ray, or equivalent technologies.
•Experience with modern orchestration and workflow technologies such as Kubeflow, Argo, Airflow, or similar frameworks.

Experience:5+ yearsMachine learningDistributed systemsAdsAI tooling

Skills:CommunicationProblem-solving

Languages:English

Tech Stack:SparkFlinkRayKubeflowArgoAirflowMCPA2A

Company Brief

Operates Reddit, a large online community and discussion platform where users submit content, comment, and vote across topic-based communities (subreddits); monetizes via advertising, premium subscriptions, and awards.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2005

Website LinkedIn

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