Software Developer (ML Infrastructure)

Preferred Qualifications:

Bachelor’s degree in computer science, engineering, or a related field

At least 4 years of full-time experience in software development

Proficiency in Python and/or Rust, with a strong understanding of highly available distributed systems and handling large datasets

Familiarity with Kubernetes and operating in a Linux environment using version control systems

Nice to have experience in Vector storage and search for generative AI, as well as exposure to SLURM and PostgreSQL

Cloud platform exposure, particularly AWS or GCP

Basic understanding of financial markets

Bonus points for expertise in gRPC, Apache Arrow, PyTorch, TensorFlow, and ML infrastructure frameworks like Kubeflow and MLFlow