Senior Software Engineer, Ads ML Features Platform

United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Social Media, Biotechnology, AdvertisingIndustries

Requirements

Candidates should have 5+ years of experience in infrastructure/platform engineering or large-scale distributed systems, with at least 2 years of hands-on experience with SQL-based cloud data warehouses like BigQuery, Snowflake, Redshift, or Databricks. Proficiency with large-scale feature computation frameworks such as Spark, PySpark, or Scala, and expertise in distributed systems including scaling, partitioning, fault tolerance, and caching are required. Familiarity with ML production systems, especially ML feature platforms, and knowledge of MLOps workflows from feature engineering to training to online serving are considered a big plus.

Responsibilities

The Senior Software Engineer will design and build data infrastructure for large-scale feature computation, transformation, and storage. They will develop frameworks for batch and event-driven features, focusing on reliability, scalability, and ease of use. Responsibilities include driving improvements in data quality and governance through validation, anomaly detection, drift monitoring, and feature lineage tracking. The engineer will partner with ML engineers for smooth integration of feature engineering workflows into ML production systems, contribute to training set generation pipelines, and help shape the future of the platform by exploring streaming feature management and other next-gen capabilities.

Skills

Data Infrastructure

ML Platforms

Feature Management

Batch Processing

Event-Driven Features

Reliability

Scalability

Data Quality

Data Governance

Anomaly Detection

Drift Monitoring

Feature Lineage

ML Engineering

Training Set Generation

Reproducibility

Feature Versioning

Streaming Feature Management

Online platform for community discussions and content

About Reddit

Reddit is an online platform that allows users to post, vote, and comment on content within various communities based on shared interests. Users can engage in discussions on a wide range of topics, from news and sports to entertainment and hobbies. The platform features a unique voting system where content can receive upvotes or downvotes, helping the most popular posts gain visibility. Reddit generates revenue primarily through advertising, premium memberships, and the sale of virtual goods like Reddit Coins. Unlike many other social media platforms, Reddit emphasizes community-driven content and discussions, creating a space for authentic interactions among users. The goal of Reddit is to foster engagement and connection among its diverse user base.

San Francisco, CaliforniaHeadquarters

2005Year Founded

$1,177.1MTotal Funding

IPOCompany Stage

Consumer Software, EntertainmentIndustries

1,001-5,000Employees

Benefits

Comprehensive health benefits

Flexible unlimited vacation days & monthly global wellness days

Family planning funds & 4+ months paid parental leave

Personal & professional development funds

Paid volunteer time off

Workspace & home office benefits

Risks

Reliance on advertising revenue faces competition from platforms like TikTok and Instagram.

AI tools like 'Reddit Answers' may raise privacy and data usage concerns.

NFT market expansion exposes Reddit to volatility and regulatory scrutiny.

Differentiation

Reddit's unique voting system promotes engaging and authentic content discovery.

The platform's diverse communities cater to a wide range of interests and discussions.

Reddit's AI-powered tools enhance user experience and content moderation.

Upsides

Reddit's confidential IPO plans signal potential growth and market expansion.

AI-driven content moderation can improve user safety and platform reliability.

Expansion into blockchain and NFTs opens new revenue streams and user engagement.

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