Senior AI/ML Systems Engineer – Research & HPC (Hybrid)

Harvard University

Cambridge (MA)

Hybrid

USD 140,000 - 190,000

Full time

14 days+
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Benefits offered by this job

Generous paid time off including parental leave
Medical, dental, and vision coverage from day one
Retirement plans with university contributions
Professional development opportunities

Job summary

An esteemed educational institution in Cambridge, MA, is seeking a Senior Research Software Engineer to develop and implement advanced ML and AI systems. The role involves collaboration with researchers on innovative projects, optimizing performance in AWS and HPC environments, and supporting high-quality software delivery. Ideal candidates will have strong programming skills in Python and C/C++, and experience with machine learning frameworks. This position offers a hybrid work model and a benefits-eligible, two-year term appointment.

Qualifications

  • Strong programming skills in Python/C/C++.
  • Experience with ML frameworks like PyTorch and TensorFlow.
  • Seven years post-secondary education or relevant work experience.

Responsibilities

  • Design, build, maintain ML/AI systems and research software.
  • Develop and optimize ML training/inference pipelines.
  • Collaborate closely with faculty and researchers on systems engineering.

Skills

Python
C/C++
Machine Learning
AWS
Collaboration

Education

BS or MS in Computer Science, Computer Engineering, Data Science, or related field

Tools

PyTorch
TensorFlow
AWS Cloud

Job description

An esteemed educational institution in Cambridge, MA, is seeking a Senior Research Software Engineer to develop and implement advanced ML and AI systems. The role involves collaboration with researchers on innovative projects, optimizing performance in AWS and HPC environments, and supporting high-quality software delivery. Ideal candidates will have strong programming skills in Python and C/C++, and experience with machine learning frameworks. This position offers a hybrid work model and a benefits-eligible, two-year term appointment.
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