Machine Learning Researcher

Summary

Join VERSES, a cognitive computing company building next-generation intelligent software systems, as a Machine Learning Researcher. This remote position offers the opportunity to conduct cutting-edge ML research, publish papers, and contribute to the commercial impact of scientific innovations. You will work within an academic research-driven environment with access to compute resources and a generous compensation package. The role involves pursuing independent and collaborative ML research, developing ML theory and implementations, and presenting findings to company leaders. You will also collaborate with the scientific community to assist in their research and contribute to product development.

Requirements

• Must have a PhD or be pursuing doctoral studies or Masters degree and 4 years of experience in ML/AI technology
• Advanced degree in a quantitative field, with experience in computer science, data science, statistics and operations research
• Demonstrated track record at publishing in top echelon ML venues such as NeuIPS, ICML, ICLR, CVPR, etc on topics such Deep Learning, Reinforcement Learning, ML Theory & Foundations Unsupervised Learning & Generative Models
• Knowledge of Active Inference or probabilistic computing
• Experience at the cutting edge of machine learning research
• Have knowledge of implementing AI systems at scale
• Sympathetic to Bayesian approaches in machine learning
• Ability to work within a team of both ML research scientists and engineers
• Excellent problem solving and analytical skills
• Strong written and verbal communication
• A passion for innovation

Responsibilities

• Pursue cutting edge ML research both independently and as part of a team
• Develop ML theory, constructing ML implementations at scale and publishing papers with a focus on: Multi-agent dynamics, AI governance and AI alignment
• Distill and present  your work to our company leaders on a regular basis
• Work with others in the scientific or research community to assist them in their research
• This role contributes to specific lines of development and innovation work, to help others who are accountable for product development to implement and operationalize research results

Benefits

• Global virtual work environment (although some positions may need to operate within specific time zones)
• Responsible paid time off policy (RTO), and company-recognized Holidays
• Generous total rewards package