Staff Software Engineer, Machine Learning – Discord

Discord; Deutschland; Remote; EUR 233.000 - 263.000; Vollzeit

Zusammenfassung

A tech company is seeking a Staff Software Engineer, Machine Learning to lead initiatives for designing and scaling personalized recommendation systems that engage over 200M users monthly. The ideal candidate has 8+ years of experience in applied machine learning, excels in building scalable ML systems, and is proficient in Python and various ML frameworks like PyTorch and TensorFlow. This position is full-time and remote for US-based applicants.

Qualifikationen

• 8+ years in applied ML.
• Strong track record of shipping scalable ML systems.
• Experience with deep learning models.

Aufgaben

• Set technical direction and solve system-wide ML challenges.
• Build scalable, low-latency recommender systems.
• Drive ML product roadmaps and cross-functional collaboration.

Kenntnisse

Applied ML experience

RecSys architectures expertise

Proficient in Python

Communication skills

Product sense

Ausbildung

Ph.D. or Master’s in CS, ML, AI or related field

Tools

PyTorch

TensorFlow

Jobbeschreibung

Staff Software Engineer, Machine Learning – Discord

Discord Moderator Jobs

Job Description

Staff Software Engineer, Machine Learning – Discord

Location: Remote (US-based) or San Francisco Bay Area

Type: Full-time

Salary: $272K–$306K + equity + benefits

Overview:

Join Discord’s Discovery/Engagement ML team to design and scale personalized recommendation systems that drive user engagement for 200M+ monthly users. You'll lead technical strategy and own end-to-end ML systems using state-of-the-art models and tooling.

Key Responsibilities:

• Set technical direction and solve system-wide ML challenges
• Build scalable, low-latency recommender systems
• Develop deep learning models (e.g., transformer-based, multi-task learning)
• Drive ML product roadmaps and cross-functional collaboration
• Ship production-ready ML features grounded in user impact

Requirements:

• 8+ years in applied ML (Ph.D. or Master’s in CS, ML, AI, or related field)
• Expertise in RecSys architectures (e.g., two-tower, transformers)
• Proficient in Python and ML frameworks (e.g., PyTorch, TensorFlow)
• Track record of shipping scalable ML systems
• Strong communication and product sense

Bonus:

• Experience with multi-objective ranking or marketplace optimization
• Reinforcement learning in production
• User modeling or personalization

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