Remote ML Product Engineer - On-Chain AI Pipelines

Ritual

Town of Poland (NY)

Hybrid

USD 120.000 - 180.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Annual discretionary bonus
100% premiums covered on healthcare
Aggressive 401k match
Participation in virtual and in-person events

Zusammenfassung

A pioneering AI infrastructure company is seeking a Machine Learning Product Engineer to work on innovative applied machine learning projects. You will be engaged in automating Data ETL pipelines, deploying ML models, and developing customer-facing products. The ideal candidate has software engineering experience, familiarity with Python and ML frameworks, and an interest in open-source products. Enjoy a highly competitive compensation package, including health benefits and flexibility for remote/hybrid working arrangements.

Qualifikationen

  • Experience with automation of Data ETL pipelines.
  • Proven track record in deploying machine learning models.
  • High level of end-to-end ownership and self-direction.

Aufgaben

  • Scale model inference and handle predictions at scale.
  • Design and implement data and ML pipelines throughout the lifecycle.
  • Collaborate with cross-functional teams on product development.

Kenntnisse

Software engineering experience
Machine learning model serving
Python
PyTorch
TensorFlow
Open-source stacks
DataOps
MLOps
Machine learning architecture

Tools

CUDA
ROCm
TinyML
Triton
HuggingFace

Jobbeschreibung

A pioneering AI infrastructure company is seeking a Machine Learning Product Engineer to work on innovative applied machine learning projects. You will be engaged in automating Data ETL pipelines, deploying ML models, and developing customer-facing products. The ideal candidate has software engineering experience, familiarity with Python and ML frameworks, and an interest in open-source products. Enjoy a highly competitive compensation package, including health benefits and flexibility for remote/hybrid working arrangements.
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