Pendulum Systems is looking for a highly motivated and detail oriented Machine Learning Engineer to join our team.

As a ML Engineer at Pendulum, you will have the opportunity to push the boundaries of the field in AI+ supply chains, by building, designing and deploying cutting-edge machine learning solutions. You will work on problems that bring a direct impact to saving lives and enabling governments to do more with less. The problems we address need careful transformation of state-of-the-art machine learning techniques to enable robust performance when deployed in the real world.

● Gather and preprocess large datasets to be used for training machine learning models. This work may involve cleaning data, handling missing values, and transforming data into suitable formats for analysis.

● Identify and create relevant features from the raw data to improve the performance of machine learning algorithms.

● Design and develop machine learning models/architectures and algorithms based on project requirements. This work includes for instance selecting appropriate algorithms, tuning hyper parameters, and optimizing for performance and efficiency.

● Work closely with the engineering team to deploy machine learning models into production, ensuring they are scalable, reliable, and maintainable.

● Collaborate with a highly diverse and completely remote team.

● Document and publish your work at high-impact machine learning conferences.

● Masters or Doctorate degree in computer science, electrical engineering, computer engineering, mathematics, or another related field.

● Solid programming experience in Python. Proficiency in popular machine learning libraries/frameworks like, PyTorch, scikit-learn, etc.

● Strong understanding of machine learning algorithms, data structures, and statistics. Experience with deep learning algorithms and frameworks is a plus.

● Knowledge of software engineering principles, version control systems (e.g., Git), and best practices in software development.

● Problem-solving skills and the ability to think critically about complex technical challenges.

● Solid communication skills and collaboration experience

● Curiosity about new things.

Definite plus points:

● Publication orcontributions to top-tier ML venues

● Proficiency in mathematical optimization

● Experience with LLMs