Machine Learning Engineer, Ads Training Platform

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Social Media, Advertising TechnologyIndustries

Requirements

Candidates should have 3+ years in infrastructure or platform engineering, or large-scale distributed systems, and 2+ years of hands-on experience with the Ray platform. A strong understanding of distributed computing principles, experience with distributed storage systems and large-scale data processing, and proven ability to debug and profile distributed jobs are required. Experience with deep learning frameworks like PyTorch or TensorFlow is a significant advantage, along with bonus experience in model optimization for distributed training or Ads ML.

Responsibilities

The Machine Learning Engineer will design, build, and maintain large-scale distributed training infrastructure for Ads ML models. They will develop tools and frameworks on top of the Ray platform, and create tools to debug, profile, and tune distributed training jobs for performance and reliability. Responsibilities include integrating with object storage systems, improving data access patterns, and collaborating with ML engineers to enhance model training time, efficiency, and GPU training costs. They will also drive improvements in scheduling, state management, and fault tolerance within the training platform.

Skills

infrastructure engineering

distributed systems

ML platform operations

Ray platform

debugging tools

performance tuning

object storage integration

GPU training

scheduling

state management

fault tolerance

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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