Full-Time

Machine Learning Infrastructure Engineer

Confirmed live in the last 24 hours

Normal Computing

Normal Computing

1-10 employees

Generative AI platform for enterprise applications

AI & Machine Learning

Mid

New York, NY, USA

Required Skills
Python
Tensorflow
Pytorch
Pandas
NumPy
Requirements
  • Bachelor's degree or higher in Computer Science, Engineering, or a related field.
  • 3+ years of experience in infrastructure engineering, with a focus on machine learning, distributed systems, and cloud computing.
  • Experience with at least one programming language (preference for those commonly used in ML or scientific computing such as Python or C++).
  • Experience using TensorFlow, PyTorch, Jax, NumPy, Pandas or similar ML/scientific libraries.
  • Leadership and collaboration qualities, enthusiasm for real-world, responsible impact
  • Excellent problem-solving skills and a proven ability to troubleshoot and optimize complex systems.
  • Strong written and verbal communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.
Responsibilities
  • Collaborating closely with ML research scientists and engineers to optimize and productionize pipelines and workflows, ensuring efficiency, best practices, and effective resource utilization.
  • Implementing tools, libraries and frameworks to speed up and enable new research.
  • Collaborate closely with Thermodynamic Hardware scientists and engineers to integrate a novel simulation stack and compilation engine
  • Be a part of planning and performing rapid prototyping of machine learning techniques applied to real-world scientific and enterprise problems.
  • Make improvements to model architectures, training, simulation, and compilation procedures
  • Report and present software developments, experimental results and analysis clearly and efficiently.
  • Contributing to existing documentation or educational content (e.g. blog posts or talks) and adapt content based on product/program updates and user feedback
  • Stay up-to-date with the latest industry trends and technologies, driving continuous improvement and innovation within our ML platform.
  • Mentoring and guiding junior colleagues, nurturing a collaborative, growth-oriented environment that promotes knowledge sharing and professional development.

Normal Computing offers a generative AI platform for critical enterprise applications, leveraging Probabilistic AI to enhance reliability, adaptivity, and auditability of AI models. The company's technology, developed by former members of Google Brain, Palantir, and Alphabet X, focuses on enabling transformative value in high-stakes enterprise applications through novel full-stack probabilistic machine learning infrastructure driven by thermodynamic physics.

Company Stage

Seed

Total Funding

$8.5M

Headquarters

New York, New York

Founded

2022

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%