AI Platform Engineer — Scalable ML Infra (Hybrid NYC)

Accrete

New York (NY)

Hybrid

USD 150,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Health & wellness benefits
Flexible PTO
Catered lunch
Team events

Job summary

Accrete AI in Lower Manhattan, NY, is seeking a Software Engineer for the AI Platform Team to design scalable AI infrastructure and production-grade ML pipelines. A PhD in CS/AI/ML or related field is highly preferred, with strong experience in Python, C++, or Java and ML frameworks.

You will build distributed systems for model training and inference, optimize deep learning workflows, and collaborate with data scientists to deploy cutting-edge AI solutions while ensuring reliability and security

Qualifications

  • PhD in Computer Science, AI, ML or related field.
  • Strong coding skills in Python, C++, or Java.
  • Experience with ML frameworks and distributed systems.

Responsibilities

  • Design, develop, and optimize scalable AI and machine learning infrastructure.
  • Build and maintain high-performance, distributed systems for AI model training and inference.
  • Develop and implement novel algorithms to improve AI model efficiency and accuracy.
  • Collaborate with data scientists and ML engineers to deploy research into production.
  • Ensure reliability, security, and performance of AI applications.
  • Align AI solutions with business needs through cross-functional collaboration.
  • Stay up to date with AI and software engineering advancements.

Skills

PhD in CS/AI/ML
Python/C++/Java
Distributed computing
Cloud platforms
Data pipelines
Problem solving

Education

PhD in CS/AI/ML

Tools

TensorFlow
PyTorch
JAX
Docker
Kubernetes

Job description

Accrete AI in Lower Manhattan, NY, is seeking a Software Engineer for the AI Platform Team to design scalable AI infrastructure and production-grade ML pipelines. A PhD in CS/AI/ML or related field is highly preferred, with strong experience in Python, C++, or Java and ML frameworks.

You will build distributed systems for model training and inference, optimize deep learning workflows, and collaborate with data scientists to deploy cutting-edge AI solutions while ensuring reliability and security

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