preference optimization Jobs

Knowtex is seeking an ML Engineer / Researcher focused on Large Language Models to contribute to the next generation of their AI stack. This role involves developing and optimizing models for clinical documentation and structured clinical reasoning, aiming to enhance quality, cost, latency, and control. The position is research-heavy with a direct path to production, requiring the design of experiments, building datasets and evaluation systems, and fine-tuning and post-training models. The successful candidate will collaborate closely with engineering and clinical teams to deploy solutions at scale and will play a key role in shaping Knowtex's long-term LLM strategy.

Handshake is seeking a Member of Technical Staff, Post-Training to help define and build a new organization focused on advancing the AI economy by organizing expert human knowledge. This role involves working directly with frontier labs on data, evaluation, and post-training challenges, building systems that transform expert knowledge into data and evaluations to improve frontier models. You will partner with researchers, domain experts, and customers to translate ambiguous post-training questions into experiments, evaluation frameworks, data pipelines, and products. As an early member, you will have significant influence over the technical direction, operating culture, and reusable systems built.

$200k - $350k

Distyl AI is seeking Research Engineers to bridge the gap between frontier AI research and production systems that deliver tangible business value. This role is ideal for engineers passionate about designing AI systems, rapidly prototyping new concepts, and transforming promising ideas into reliable, production-ready systems for real-world customer environments. Research Engineers will operate at the intersection of applied research, systems engineering, and customer deployment, designing and implementing compound AI systems, conducting experiments, building evaluation frameworks, and collaborating with AI Researchers, AI Engineers, and customer stakeholders. The focus is on turning new techniques into robust, measurable, and operable systems within production settings.

$150k - $250k

Distyl AI is seeking creative researchers to join our Post-Training team, focusing on adapting foundation models to meet real-world performance and alignment requirements for enterprise AI. This role involves developing and evaluating techniques to align models with business systems, bridging raw model capability with trustworthy, contextually aligned behavior. Researchers will investigate new methods for aligning large models with human and system-level objectives, exploring trade-offs in generalization, data efficiency, and controllability to ensure safe, effective, and scalable AI deployment across industries. The ideal candidate is driven by a desire to redefine how software is used through AI, rather than just incremental improvements.

$150k - $250k