Oversee all technical aspects of how different AI models’ outputs impact the quality of content produced by our AI platform. This includes working with PMs and different parts of the business to define proper performance requirements for different Deep Learning and Machine Learning models.
Work closely with scientists, engineers, and product managers to drive and deliver state of the art solutions at scale in multiple areas relevant to real-time detection of events in public data sources (NLP, CV, IR, Knowledge Graphs, etc).
Define and track quality and cost metrics for models as well as for their integrated end-to-end performance in relation to key business goals.
Hands-on modification of workflows, evaluations, and outputs of models.
Lead other engineers and scientists, directing changes to technical approaches.
Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice, and have significant impact.
What you bring
At Dataminr, we value you for who you are. We encourage you to apply for this role, even if you don't meet every qualification. Our candidates are reviewed on the basis of their skill and potential to succeed. 6 Bullets max
Strong technical background required: graduate degree in Computer Science or Electrical Engineering.
At least 7 years of industry experience as a software engineer in a cloud-native environment (AWS, Kubernetes).
At least 5 years experience leading software engineers in an AI team.
Experience with deep learning frameworks, LLMs, agent harnesses, compound AI systems (PyTorch, Langfuse, LangGraph, Weaviate, A2A, etc)
Hands-on experience in developing and deploying Machine Learning/Deep Learning/LLMs at large scale in NLP, CV, IR, or a related field, preferably in a real-time setting.
Demonstrated track record of driving and delivering on multiple complex AI projects.
Excellent communication skills.
Deep understanding of research stages, and the ability to connect multiple complex technologies in end-to-end solutions.
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The annual base salary range for this position is $229,600 - $337,000. You will also be eligible to receive a discretionary bonus and Company equity. Actual salary will be based on a number of factors including, but not limited to, geographic location, applicant skills, and prior relevant experience.