ML Engineer

🕒 vor 2 Monaten

🏄 California – Remote

🏄 California – Remote

💵 $132.000 - $165.000 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

🤖 Machine-Learning-Entwickler

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

Jetzt Bewerben

Ähnliche Remote-Jobs finden

E-Mail-Benachrichtigung für neue Jobs einrichten

📊 Überprüfen Sie Ihre Lebenslauf-Bewertung für diese Stelle

Verbessern Sie Ihre Chancen auf ein Vorstellungsgespräch, indem Sie Ihre Lebenslauf-Bewertung vor der Bewerbung überprüfen.

Lebenslauf hochladen

CreatorIQ

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

Gegründet 2014

📣 Marketing

📱 Medien

☁️ SaaS

Marketing • Media • SaaS

CreatorIQ ist die vertrauenswürdigste Influencer-Marketing-Plattform für Unternehmen, die ihr Creator-Marketing voranbringen möchten. Die Enterprise-Grade-Technologie und die branchenführende Intelligenz ermöglichen eine umfangreiche Entdeckung von Creators, optimierte Workflows und robuste Berichterstattung, während gleichzeitig die Einhaltung von Vorschriften und Markensicherheit gewährleistet wird. Tausende der weltweit innovativsten Marken und Agenturen nutzen CreatorIQ, darunter Disney, Logitech, Movers+Shakers, Nestlé, RQ, Sephora, Unilever und mehr.

Beschreibung

• Deploy and monitor ML systems in production, from classical NLP and embedding models to LLM-powered features • Own the evaluation stack - golden datasets, "model-as-a-judge" frameworks, inter-annotator agreement, and regression tests that gate releases • Build and maintain our vector embeddings ecosystem and the retrieval, classification, and similarity patterns that sit on top of it • Partner with Data Science on annotation workflows, PII scrubbing, and ground-truth pipelines • Improve our MLOps foundations - versioning, observability, drift detection • Translate fuzzy product problems into measurable AI features with clear success criteria

🎯 Anforderungen

• 4–7 years of professional software or ML engineering experience, including 2+ years shipping ML systems to production • Strong Python; comfort with the modern data/ML stack • Hands-on experience deploying and monitoring models in at least one major cloud (AWS or GCP); willingness to learn the other • Production experience with NLP or ML systems - classification, NER, embeddings, ranking, similarity, or LLM-powered features • Practical experience with evaluation for ML or LLM systems - golden datasets, model-as-a-judge, IAA, precision/recall, or equivalent. • Collaborative communicator - you work well alongside data scientists and engineers, and can clearly explain ideas, requirements, and tradeoffs to non-technical stakeholders.

🏖️ Vorteile

• People: work with talented, collaborative, and friendly people who love what they do. • Guidance: utilize our learning platform to fully get the training and tools you’ll need to become successful here from your first day with us. • Surprise meal stipends: work from home can’t stop the enjoyment of someone else making a meal for you! • Work/life harmony: 15 days vacation, floating and set holidays, wellness allowance, and paid parental leave. • Whole Health Package: medical, dental, vision, life, disability insurance, and more. • Savings: a 401k (USA) plan to help you plan ahead. • Work from home stipend: to assist you in setting up a home office that works for you (or buy a new dog leash - your choice!).