Senior AI Engineer in United

Energy Jobline
United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Streaming Large Language Models Model Validation Data Representation Machine Learning Operations

Requirements

  • You have 6+ years building and shipping ML systems, with deep expertise in recommendation and ranking systems, statistics, predictive or causal modeling, and LLMs. \n

  • You have a track record of training models at scale and a strong grounding in robust ML pipelines, multimodal data representation, and model validation on real-world tasks. \n

  • You can lead ambiguous, open-ended research and translate it into working product, and hold an MS or PhD in CS, ML, or a related field, or have equivalent industry experience. \n

  • You have experience with media platforms including streaming and social, ad infrastructure, marketing science, or conversion optimisation. \n

  • You might have a history of building and leading research teams. \n

Benefits & conditions

Chronicle is building frontier models for audience simulation on social platforms: understanding and predicting human preferences at scale. Join a fast-growing team to lead research efforts at the intersection of large-scale recommendation systems, behavioral simulation, and generative AI.

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In this role you’ll set research direction, inform data collection and annotation, develop the core modeling architectures, and work with a high-caliber team alongside collaborators from leading academic and industry labs.

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You’ll own the technical vision and research roadmap for large-scale audience forecasting and recommendation modeling, working closely with the research and leadership teams.

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You’ll design and train proprietary models leveraging Chronicle’s internal datasets and infrastructure, and take those models from research prototype to production in a tight partnership with product and engineering. As a senior member of the team you’ll recruit, mentor, and set the bar for a growing research team.

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