Staff Software Engineer, Machine Learning – Consumer Revenue

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $272k - $340k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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Discord

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2015

💼 Consulting

🎮 Gaming

🌍 Social Impact

💰 $12G Venture Round on 2022-03

Consulting • Gaming • Social Impact

Discord is a communication platform designed for creating communities. Users can chat via text, voice, or video, and the platform is known for its emphasis on gaming. It provides customized experiences with features like custom emojis, stickers, and soundboard effects. Discord supports seamless streaming with high quality and low latency, making it ideal for gamers to hang out and play games together online. It is accessible across various devices including PC, phone, and console. Additionally, Discord places a high priority on safety and moderation, offering resources and guidelines for keeping communities safe and engaging. It is widely used for social interactions, gaming, and community building.

📋 Description

• Apply Machine Learning across Discord's core revenue surfaces — Shop, Nitro, Server Subscriptions, and Gifting. • Build ranking, targeting, and recommendation systems connecting users to relevant products, subscriptions, and content. • Build internal ML platforms and tooling adopted by multiple product teams. • Lead org-wide and cross-functional technical initiatives across multiple verticals. • Build ML systems from 0→1 and take them to production at scale. • Translate experiment results into product roadmap decisions. • Keep stakeholders educated and aligned.

🎯 Requirements

• 8+ years of experience in applied Machine Learning, inclusive Ph.D. or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. • Strong expertise in applied deep learning and mainstream RecSys model architecture (e.g. two-tower, transformer-based models, multi-task learning). • Strong proficiency in Python and ML frameworks such as PyTorch, JAX, or TensorFlow. • A track record of building ML systems from 0→1 in ambiguous, early-stage environments, and taking them to production at scale. • Strong product and business intuition, with the ability to translate experiment results into roadmap decisions. • Excellent communication and collaboration skills — able to lead cross-functional technical initiatives across multiple verticals and keep stakeholders educated and aligned. • The ability to thrive in ambiguous environments, energized by open-ended, technically challenging problems. • Built internal ML platform/tooling (shared data standards, targeting endpoints, recommender libraries) adopted by multiple product teams. • Familiarity with personalized marketing systems — lifecycle targeting, audience segmentation and lookalikes, campaign optimization. • Deep expertise in distributed training (e.g. PyTorch on GPU, Ray, Anyscale) and large-scale data processing pipelines (e.g. Chronon, Spark, Flink).

🏖️ Benefits

• Equity • Benefits • Reasonable accommodations during the interview process