Software Engineer (Machine Learning)

About the role - What’s your purpose?

We are looking for an engineer with hands-on experience in machine learning to join a close-knit, fully cross-functional team that makes product releases on a daily basis, decides product direction themselves and regularly tries out new approaches and technologies.

About Signal AI - Who are we?

We're on a mission to change the way businesses make decisions with our cutting-edge AI technology. To achieve that, we’re looking for passionate people to join our open and unconventional workplace. Our inclusive environment welcomes skills and experiences from diverse backgrounds, and defines who we are.

Day-to-Day Responsibilities - What you will be doing?

• Working hands-on with your team through the discovery, development and deployment of new and existing components of our platform
• Helping your team identify problems, explore feasibility and potential value around solutions to improve the efficiency and effectiveness of our platform
• Testing, optimising and productionising machine learning models and pipelines
• Collaborating with other engineers, data scientists and product managers across the company
• Participating with your team towards collectively identifying and setting its objectives and key results

What we use?

• AWS and Terraform for our infrastructure
• Clojure and Python to write our application code
• Torch, tensorflow and scikit-learn for our machine learning models
• Metaflow and MLflow for machine learning operations
• Docker to run our services
• Elasticsearch for solving high volume distributed search problems
• DynamoDB and Redis for persistent data storage

Requirements

• You have experience in large scale distributed systems and an understanding around how to build resilient and observable systems
• You have experience building, deploying, testing and monitoring Machine Learning services, pipelines and products
• You are proactive with a positive attitude, well organised, and adept at managing competing deadlines and priorities
• You are comfortable with and excited by a fast-paced and often changing environment, eager to solve new problems and learn new skills in order to succeed
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You are a team player whom your colleagues can rely on

Benefits

• Unlimited holiday entitlement;
• Hybrid Working Environment - we have a hybrid remote policy with 2-3 days remote per week, plus Summer & Winter fully remote blocks wherever works for you, including abroad;
• Share options;
• Enhanced Maternity, Paternity and Dependents Leave policies;
• Health Cash Plan/ Pension plan / Income Protection / Life Insurance / Access to free therapists via Spill.