Staff Machine Learning Infrastructure Engineer, Embedding Platform

Reddit · Remote - United StatesRemotosenior

En corto

▸Ingeniero de infraestructura de ML de alto nivel que dirige plataformas a escala para modelos de recomendación.
▸Día a día: arquitectura de modelos grandes, entrenamiento distribuido, servidores en tiempo real y colaboración con equipos de IA.
▸Hecho destacado: este rol tiene impacto directo en sistemas de recomendación que afectan a 130 millones de usuarios diarios.

Bilingual (English and Spanish) - strong written and verbal communication skills.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓8+ años de experiencia en ingeniería de ML a gran escala.
✓Experto en arquitecturas de deep learning modernas, incluyendo modelos secuenciales y fundamentales.
✓Conocimiento profundo de relaciones múltiples entre entidades en sistemas ML.
✓Capacidad comprobada para diseñar, implementar y optimizar sistemas de entrenamiento distribuidos.
✓Experiencia en arquitecturas de servidores en tiempo real para embeddings a gran escala.
✓Habilidades de liderazgo técnico y mentoreo de ingenieros senior y mid-level.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

Machine LearningDeep LearningLarge-scale ML SystemsRecommendation SystemsPersonalization SystemsDistributed TrainingMulti-GPU SystemsCloud EnvironmentsReal-time ServingEmbeddings

¿A quién escribirle en Reddit?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The LS Embedding Machine Learning Platform team is at the forefront of building highly expressive machine learning models that power Reddit’s recommendation systems. We go beyond standard retrieval and ranking architectures, leveraging modern deep learning approaches and scalable model designs to enhance personalization across Reddit’s ecosystem. Our work impacts content discovery, user engagement, and platform growth at a massive scale. How You'll Have Impact As a Staff Machine Learning Infrastructure Engineer , you will own the technical direction for large-scale machine learning platform, guiding the development of advanced deep learning architectures and high-impact ML systems. You will partner with leadership to define ML roadmaps, drive innovation in scalable model design and training approaches, and ensure efficient, reliable deployment of ML models in production. This role offers an opportunity to influence key AI-driven systems across Reddit while mentoring and uplifting the team’s technical capabilities. What You’ll Do • Architect and lead the development of next-generation, large-scale machine learning techniques. • Define and execute the ML strategy, identifying opportunities to enhance personalization and recommendation quality across Reddit. • Lead research initiatives on scalable machine learning systems and real-time model adaptation, bringing cutting-edge advancements into production. • Partner with ML infrastructure teams to build high-performance, distributed training systems that efficiently scale across multiple GPUs and cloud environments. • Establish and optimize real-time serving architectures for large-scale embeddings, ensuring low-latency inference and high throughput. • Collaborate cross-functionally with teams in Feed Ranking, Ads, Content Understanding, and Core ML to integrate ML models into Reddit’s key AI-driven systems. • Mentor and guide senior and mid-level ML engineers, fostering a culture of excellence, innovation, and knowledge sharing. • Stay at the forefront of AI research, evaluating and introducing new modeling paradigms to keep Reddit’s ML ecosystem cutting-edge. • Drive technical discussions, present findings to leadership, and contribute to long-term ML planning and decision-making. Who You Might Be: • 8+ years of experience in machine learning engineering, with a strong focus on large-scale ML systems and recommendation or personalization systems. • Expertise in modern deep learning architectures, including sequence models and foundational models. • Deep understanding of complex multi-entity relationships in machine learning applications and how they are modeled in large-scale systems. • Proven ability to design, implement, and optimize s

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