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Drive applied machine learning research on language models, moving from an initial question through experimentation to a model ready for real-world use. This is an early technical position with close collaboration alongside company leadership, engineers and clients.\nWhat you'll do\n- Convert client workflows and observed model shortcomings into focused research questions, evaluation suites and experiments.\n- Create training datasets, reward functions and automated checkers, and run fine-tuning, preference-based and reinforcement learning experiments.\n- Investigate failed training runs and rely on ablation studies and held-out testing to learn which changes truly raise quality.\n- Lead projects from start to finish, ending with a deployed model or a publishable result.\n- Collaborate with fellow researchers and infrastructure engineers to ship successful models and study how they behave live.\nRequirements\nWhat we're looking for\n- Significant practical background in adapting language models after pretraining, with personal accountability for experiments and their outcomes.\n- A track record where your modeling work reached real use or outside review, whether through a shipped product, a widely adopted open model, or an accepted paper.\n- Published research or open-source machine learning contributions in this area.\n- Prior experience at an organization operating at the leading edge of AI.\n- Strong Python and PyTorch skills, including writing and debugging training code on your own.\n- Good analytical judgment, with the ability to explain why a method succeeded and where a metric gave a false signal.\n- Confidence working through ambiguous technical problems and speaking directly with clients and colleagues.\nBonus points\n- Experience mentoring more junior engineers or researchers.\n- Master's or PhD in Computer Science.\n- Background in areas such as long-horizon reinforcement learning, model compression, generated training data, reward design or large-scale distributed training.\nBenefits\nCompensation and benefits\n- Base salary: USD 200,000 to 350,000 per year\n- Equity\nLocation and work model\n- Mountain 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