We’re working in one of the most important sectors for the global economy: maritime shipping.

Nearly every person is affected by stuff shipping on the seas, whether it’s energy, raw ore, or wind turbines. But the industry itself is antiquated and archaic, it’s hampered by paperwork and bureaucracy.

We’re a seven year old startup, with strong revenue growth, several F100 customers, and strong VC backing. We’re building software solutions to make maritime shipping easier and more cost effective, and we need your help in building better solutions.

This role is quite broad and will encounter a variety of different projects. Largely, they fall into three different buckets:

1. "Classical" machine learning - building models and training regressors and classifiers for use in production, including cleaning training data, evaluating and comparing model performance, and monitoring in production.
2. LLMs - using generative AI and LLMs to create agentic workflows for our customers.
3. Statistical modeling - coming up with models that have probabilistic outcomes and confidence intervals related to maritime shipping.

The work might range from reading and comparing documents in multiple languages, classifying entities in image recognition, or even predicting ship operation times. If you’re the sort of person who is intellectually curious, likes statistics, and is excited about what AI and ML can do then we’d like to hear from you.

Requirements

• Intellectual curiosity and interest in maritime shipping.
• Desire to talk to and get close to customers, end users, developers, designers, product managers, and other stakeholders.
• Minimum 3 years experience in using Scikit-learn and Tensorflow or PyTorth in production.
• Experience in Software Engineering in Python or Typescript.
• Strong knowledge of SQL.
• Strong understanding of statistics.
• Proficiency with CI/CD tools, git, and modern development workflows.
• Experience with AWS, and containerized environments (e.g. Docker, Kubernetes)
• Fluency in English and strong written and verbal communication.
• Excellent analytic skills and attention to detail.