3+ years of industry experience using machine learning to solve real-world problems Experience with relevant business problems (e.g. e-commerce) Experience…
Fine-tuning Jobs
Browse latest Fine-tuning roles across top companies.
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3+ years of industry experience using machine learning to solve real-world problems Experience with relevant business problems (e.g. e-commerce) Experience…
Experience in C++ MS in Computer Science, or equivalent practical experience 5+ years of experience with ML design and ML infrastructure (e.g., model…
Enterprise Apps AI Center of Excellence (CoE) is a newly established team that operates with the agility of a startup to generate substantial value for…
Published work on hallucination prevention, factual grounding, or knowledge integration in language models Experience with fact-grounding techniques…
Build and manage the foundational team of Applied AI professionals in Seoul (Solutions Architects and Product Engineers) providing both technical guidance and…
Large language model pretraining and finetuning Training diffusion models for image and audio generation Reinforcement learning for large language models and…
Experience in the autonomous driving domain, including areas like motion planning or perception Experience with Large Language Models (LLM) or Vision Language…
Experience with language model finetuning Background in AI alignment research Published work in ML or alignment
Working with machine learning data processing pipelines Building or optimizing data encodings for ML applications Implementing or working with BPE, WordPiece,…
Strong familiarity in election integrity, political psychology, information integrity, and democratic resilience research Knowledge of persuasion theory,…
Large-scale pretraining, SL, and RL on language models Deep learning research on images, video, or other modalities Developing complex agentic systems using…
Location: Remote-first (United States; BC & ON, Canada) Full-time Exempt
Define behavioral defaults and steerability constraints Develop and maintain taxonomies of model behaviors across capabilities Identify, triage, and…
Experience with ML research Building internal tooling and platforms for ML researchers Data quality assessment and pipeline optimization
Tokenizers or other text/data encoding systems Maintaining a widely-used library over a long period of time Performance optimization
Frame the open-ended real-world problems into well-defined ML problems; apply deep learning, reinforcement learning, imitation learning to these problems.…
