ML Platform Engineer — Production AI, NYC Office

Sola

New York (NY)

Vor Ort

USD 140.000 - 210.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Competitive salary
Meaningful equity
Comprehensive medical, dental, and vision benefits
401(k) matching
Flexible PTO
Relocation support

Zusammenfassung

A leading startup in AI automation in New York, NY is seeking an experienced engineer to transform AI research into production features. In this role, you will collaborate closely with the CTO and take ownership of AI capabilities end-to-end. Ideal candidates will have a solid background in ML systems and be proficient in Python and relevant frameworks like PyTorch. This role offers competitive compensation, benefits, and the opportunity for significant impact in an early-stage company.

Qualifikationen

  • 3+ years of experience as an engineer, including recent work on cutting‑edge ML and AI systems.
  • Proven ownership of production AI features end‑to‑end.
  • Expertise in Python with experience in modern ML frameworks.

Aufgaben

  • Partner with the CTO to turn AI research into production features.
  • Investigate and prototype new AI capabilities quickly.
  • Build observability infrastructure for monitoring models.

Kenntnisse

Experience with cutting-edge ML and AI systems
Proficient in Python
Hands-on experience in modern ML frameworks
Ability to communicate effectively

Tools

PyTorch
HuggingFace
DSPy
Kubernetes

Jobbeschreibung

A leading startup in AI automation in New York, NY is seeking an experienced engineer to transform AI research into production features. In this role, you will collaborate closely with the CTO and take ownership of AI capabilities end-to-end. Ideal candidates will have a solid background in ML systems and be proficient in Python and relevant frameworks like PyTorch. This role offers competitive compensation, benefits, and the opportunity for significant impact in an early-stage company.
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