Reddit13 days ago
Senior Machine Learning Systems Engineer, Ads ML Experience Platform
RUB 18,058–25,283per month · before tax
MARKET
15,900 ₽median for this role
Data Scientist · 115 jobs with disclosed pay
5,000half of the offers: 12,796–20,50043,793
At market · above 64% of offers
Remote - United States
Responsibilities
- 01Design and build large-scale offline ML experimentation platforms that enable reproducible research, model development, evaluation, and promotion workflows
- 02Develop production-grade training orchestration frameworks supporting distributed training, hyperparameter optimization, model evaluation, and automated retraining
- 03Build infrastructure for experiment tracking, metadata management, lineage, artifact versioning, model registries, and reproducibility
- 04Partner with ML engineers and researchers to improve experimentation velocity and operational efficiency
- 05Build automated workflows for model promotion, rollback, compliance validation, and continuous evaluation
- 06Design 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
Requirements
- 015+ years in infrastructure/platform engineering or large-scale distributed systems
- 022+ years of hands-on experience building and operating production ML infrastructure, developer SDKs, platform APIs, or self-service AI tooling
- 03Experience building workflow orchestration systems, developer platforms, or large-scale automation frameworks
- 04Experience with distributed data processing systems such as Spark, Flink, Ray, or equivalent technologies
- 05Experience with modern orchestration and workflow technologies such as Kubeflow, Argo, Airflow, or similar frameworks
- 06Experience building offline ML experimentation platforms, model registries, experiment tracking systems, or training orchestration frameworks
- 07Experience building and operating agentic AI systems, including multi-agent orchestration, autonomous workflows, and agent communication/runtime frameworks (e.g., MCP, A2A, and orchestration systems) is a strong plus
- 08Experience running end-to-end model development and iteration cycles at scale is a plus
What we offer
- 01Comprehensive Healthcare Benefits and Income Replacement Programs
- 02401k with Employer Match
- 03Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- 04Family Planning Support
- 05Gender-Affirming Care
- 06Mental Health & Coaching Benefits
- 07Flexible Vacation & Paid Volunteer Time Off
- 08Generous Paid Parental Leave
- 09Equity in the form of restricted stock units
- 10Possible commission depending on position
- 11Medical, dental, and vision insurance
- 12Flexible workforce with option to work remotely in any country with physical presence