AI Platform Engineer (PhD Req) — Build Scalable ML Infra

Accrete; New York (NY); On-site; USD 170,000 - 210,000; Full time

Benefits offered by this job

Competitive Salary

Comprehensive Insurance

401(k) Plan

Growth & Development

Onsite Perks

Team Bonding

Job summary

Accrete seeks a highly skilled Full-Stack Engineer to join the AI Platform Team in Lower Manhattan, NY. The ideal candidate holds a PhD in Computer Science, AI, ML, or a related field and has strong Python, C++, or Java skills, plus experience with ML frameworks.

You will design scalable AI infrastructure and deploy production ML solutions. Responsibilities include developing distributed systems for training and inference, optimizing pipelines, and collaborating with data scientists to integrate

Qualifications

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong programming skills in Python, C++, or Java.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or JAX.

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.
• Work closely with data scientists and machine learning engineers to integrate cutting-edge AI research into production environments.
• Ensure reliability, security, and performance of AI-driven applications.
• Collaborate with cross-functional teams to align AI solutions with business needs.
• Stay up to date with the latest advancements in AI and software engineering.

Skills

Python

C++

Java

ML frameworks

Distributed computing

Cloud platforms

Deep learning

Data pipelines

Problem solving

Education

PhD in CS/AI/ML

Tools

Docker

Kubernetes

TensorFlow

PyTorch

JAX

Job description

Accrete seeks a highly skilled Full-Stack Engineer to join the AI Platform Team in Lower Manhattan, NY. The ideal candidate holds a PhD in Computer Science, AI, ML, or a related field and has strong Python, C++, or Java skills, plus experience with ML frameworks.

You will design scalable AI infrastructure and deploy production ML solutions. Responsibilities include developing distributed systems for training and inference, optimizing pipelines, and collaborating with data scientists to integrate