Senior Machine Learning Systems Engineer, ML Platform

Reddit·Remote - United StatesRemotesenior

In short

→Ingeniero senior de plataformas de ML que construye infraestructura de datos para recomendaciones y descubrimiento de contenido.
→Día a día: diseño de sistemas de gobernanza de señales, pipelines batch y streaming a escala petabyte, colaboración con equipos de ML y producto.
→Destacado: impacto directo en feeds, anuncios y descubrimiento de contenido para 130M+ usuarios diarios.

Experiencia trabajando en entornos multiculturales y colaborando con equipos XFN

✓ Free to start✓ Runs in your browser✓ First dossier, no card✓ Ready in ~1 minute

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Your first dossier is free.

The questions they'll ask you

1. ¿Cómo diseñarías una solución para rastrear la línea de vida de una señal ML desde su origen hasta su uso en producción?

🔒 +7 more questions

No card. Upload your resume and the full dossier is ready in ~1 minute.

🎧Land the interview? Bring the copilot. Our free extension listens to the live interview and flashes 3-4-word anchors from your resume and prep — glance, connect, talk. Get the extension →

💵 USD · Remote · No visa

Not finding what you want? Try Micro1

Micro1 places engineers directly at US companies paying in USD. One vetting, multiple offers — no cold applying.

Get matched by Micro1 →

📬Jobs picked for YOUR resume, every morning on WhatsApp. Free: text “vacantes” and the bot sends your daily matches. Subscribe →

What they ask for

✓5+ años en plataformas de ML
✓Experiencia en procesamiento de datos a gran escala (batch y streaming)
✓Construcción de sistemas de producción con monitoreo y observabilidad
✓Gobernanza de señales ML y metadatos
✓Colaboración con equipos multidisciplinarios
✓Experiencia en arquitecturas distribuidas y sistemas de datos intensivos

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

ML Data PlatformPrediction LoggingTraining Data PlatformsBatch PipelinesStreaming PipelinesPetabyte-scale DataSignal GovernanceMetadata ManagementDistributed SystemsData-intensive Architectures

Who should you write to at Reddit?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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 . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Senior Software Engineer, ML Platform, you will work on our ML Data Team and be instrumental in architecting, implementing, and maintaining foundational ML infrastructure powering Feeds Ranking, Content Understanding, Recommendations, Ads, and much more to fulfill Reddit’s mission of bringing community and belonging to everyone in the world. You will create ML data-governance tools that help MLEs discover and reason about signals, while contributing across the broader ML data platform—including prediction logging and training data systems. • Lead the design, development, testing, and operation of ML signal-governance capabilities that help MLEs discover signals and understand their ownership, lineage, quality, and usage. • Build tools that help teams assess signal importance and make informed lifecycle decisions. • Partner with MLEs and cross-functional teams to define governance workflows and deliver reliable, intuitive ways to explore and act on signal metadata. • Contribute across the ML Data Platform, including prediction logging and training data platforms, to design, develop, test, and operate batch and streaming pipelines processing petabyte-scale data. • Drive complex projects end to end from technical planning and design through implementation, testing, rollout, and ongoing operation. Who You Might Be: • 5+ years of experience in the ML Platform domain. • Strong customer focus and experience driving projects from requirements to production in close collaboration with multiple cross-functional partners (XFN). • Experience with large-scale batch and streaming data processing. • Experience building production-quality systems with testing, monitoring, observability, and reliability practices. • Deep understanding of distributed systems and data-intensive architectures, with strong communication and collaboration skills. Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs • 401k with Employer Match • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support • Family Planning Support • Gender-Affirming Care • Mental Health & Coaching Benefits • Flexible Vacation & Paid Volunteer Time Off • Generous Paid Parental Leave #LI-Remote <div class=

Looking for something similar?

Leave your email and we'll alert you when matching jobs appear.

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.