Senior Software Engineer (Backend & Machine Learning)

• We are looking for an experienced and motivated senior engineer with experience in backend services and ML infrastructure. In this role you will help us integrate cutting edge AI models into services and toolkits for researchers and developers
• You will work closely with research scientists and other engineers to build new capabilities into the Hume platform, and you will have the opportunity to take part in a wide range of engineering initiatives across backend applications, cloud infrastructure, and the ML lifecycle, including evaluation and deployment at scale

Benefits

• Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your family
• Equity: Meaningful ownership in the company with competitive equity packages
• Flexile PTO: Take the time you need to recharge and bring your best self to work
• Remote Friendly: Work from anywhere with flexible hybrid and remote options
• Learning Budget: Annual stipend for conferences, courses, and professional development
• Team Offsites: Regular in-person gatherings to connect and collaborate

• Experience building and deploying models for inference services
• Expertise in the Python ecosystem and popular ML libraries and tools (e.g. PyTorch, JAX, TensorFlow, XGBoost, sklearn, pandas, numpy)
• Experience writing backend services in multiple languages (e.g. Kotlin, Go, Rust, Java, C++)
• Excellent communication and collaboration skills
• Understanding of core ML concepts including model architecture, training, and evaluation
• Expertise working with storage and compute on a cloud platform (e.g.Google Cloud, AWS)
• Familiarity with data engineering principles and/or building large-scale data pipelines
• Familiarity with building and deploying LLM-integrated products
• Experience working at the intersection of machine learning research and engineering
• Understanding of modern deployment strategies utilizing cloud technologies. (e.g. blue/green, canary deployments, etc)
• Experience using service deployment tooling (e.g. Kubernetes, Helm, Docker, Argo)