Senior Machine Learning Engineer, Ads ML Platform

Senior Machine Learning Engineer, Ads ML Platform @ Reddit, Inc. | Jobright.ai

Senior Machine Learning Engineer, Ads ML Platform jobs in United States

Overview

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Reddit, Inc. · 3 weeks ago

Senior Machine Learning Engineer, Ads ML Platform

United States

Full-time

Remote

Senior Level

$217K/yr - $303K/yr

5+ years exp

Reddit, Inc. is a community-driven platform built around shared interests, conversations, and authentic content. The Senior Machine Learning Engineer will build and scale data infrastructure, feature management systems, and training set platforms supporting Ads ML, while driving governance, automation, reliability, and integration with production ML systems.

Social MediaConsumer GoodsDigital MediaPublishingCommunitiesConsumerContentNewsSocial Network

Comp. & Benefits

H1B Sponsor Likely

Responsibilities

Design and build data infrastructure that supports large-scale feature and training set computation, transformation, and storage

Develop frameworks for batch and real-time features with a focus on reliability, scalability, and ease of use

Build platform capabilities for feature governance, including lineage tracking, validation, drift detection, anomaly monitoring, reproducibility, and versioning

Partner with ML engineers to ensure smooth integration of feature engineering workflows into ML production systems

Build systems that support agentic ML workflows, including automated feature discovery, feature quality evaluation and feature lifecycle management

Drive architecture and technical direction for high-scale ML platform infrastructure powering ads ranking, targeting, and optimization systems

Contribute to operational excellence through observability, performance tuning, reliability engineering, and cost optimization initiatives

Qualification

Machine Learning Platform InfrastructureDistributed SystemsSparkPySparkScalaMLOpsProduction Machine Learning SystemsIntelligent Automation for ML Workflows

Required

5+ years in infrastructure/platform engineering or large-scale distributed systems

2+ years of hands-on experience building or operating ML platform infrastructure and production ML systems

Proficiency with large-scale feature computation frameworks (Spark, PySpark, or Scala)

Expertise in distributed systems (scaling, partitioning, fault tolerance, caching)

Preferred

Experience building intelligent automation or agentic workflows for ML systems is a strong plus, including areas such as automated pipeline management, feature recommendations, evaluation systems, or AI-assisted developer tooling

Experience with ML infrastructure and MLOps workflows spanning feature engineering, training pipelines, experimentation, model deployment, and online serving is a plus

Benefits

Comprehensive Healthcare Benefits and Income Replacement Programs

401k with Employer Match

Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support

Family Planning Support

Gender-Affirming Care

Mental Health & Coaching Benefits

Flexible Vacation & Paid Volunteer Time Off

Generous Paid Parental Leave

Equity in the form of restricted stock units

Medical, dental, and vision insurance

401(k) program with employer match

Flexible workforce with remote work available in any country in which Reddit has a physical presence

Company

Reddit, Inc.

Glassdoor

3.9

Online community platform for topic-based discussions.

Founded in 2005

San Francisco, California, USA

1001-5000 employees

https://www.redditinc.com

H1B Sponsorship

Reddit, Inc. has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

84%

Represents job field similar to this job

Engineering and Development

Product Management

Management and Executive

Marketing

Creatives and Design

Sales

Customer Service and Support

Accounting and Finance

Trends of Total Sponsorships

*2026 (35)

2025 (99)

2024 (63)

2023 (76)

2022 (70)

2021 (68)

2020 (39)

Funding

Current Stage

Public Company

Total Funding

$1.33B

Key Investors

FidelityVy CapitalTencent

2024-03-21IPO

2021-08-12Series F

• $410M

2021-02-08Series E

• $367.95M

Leadership Team

Steve Huffman

CEO

Andrew Vollero

Chief Financial Officer

Recent News

Media NamaA Mumbai court told Meta and Reddit to remove defamatory posts — and to leave the true ones up

2026-09-05

SC MediaLinux Threat Hunting – PSW #942

2026-09-05

Japan TodayChatGPT becomes first AI chatbot to face tougher EU rules

2026-09-02

Company data provided by crunchbase