Senior ML Engineer — End-to-End Pipelines (Remote)

Reka AI

United States

On-site

USD 120,000 - 160,000

Full time

14 days+
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Benefits offered by this job

5 weeks of paid leave
Comprehensive healthcare benefits
Visa assistance for US employees

Job summary

Reka AI, a globally distributed foundation model startup, is seeking a skilled professional to translate cutting-edge research into production-ready machine learning systems. You will design and deploy end-to-end ML models while collaborating with top-tier engineers and researchers from renowned organizations.

Our mission is to empower organizations with useful multimodal AI. Join us for an opportunity to make a significant impact in a rapidly growing industry while enjoying generous benefits, including 5 weeks of paid leave and visa support.

Qualifications

  • 5+ years of experience in Python, proficiency in Java, C++, or Scala.
  • Strong research experience with familiarity in top conferences.
  • Solid knowledge of CNNs and Transformers.
  • Experience with cloud environments (AWS preferred).

Responsibilities

  • Translate research into production-ready ML systems.
  • Design, build, and deploy end-to-end ML models.
  • Collaborate with cross-functional teams for ML solutions.

Skills

Python
Java
C++
Scala
Deep Learning
ML architectures
Experiment tracking
Cloud deployment
Data handling

Education

MS/PhD in Computer Science, Electrical Engineering, or related field

Tools

PyTorch
TensorFlow
CUDA
Spark
Postgres
MySQL

Job description

Reka AI, a globally distributed foundation model startup, is seeking a skilled professional to translate cutting-edge research into production-ready machine learning systems. You will design and deploy end-to-end ML models while collaborating with top-tier engineers and researchers from renowned organizations.

Our mission is to empower organizations with useful multimodal AI. Join us for an opportunity to make a significant impact in a rapidly growing industry while enjoying generous benefits, including 5 weeks of paid leave and visa support.

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