AI Applied Research Scientist Jobs

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Develop novel architectures, system optimizations, optimization algorithms, and data-centric optimizations that significantly improve over state-of-the-art. Take advantage of the computational infrastructure of Together to create the best open models in their class. Understand and improve the full lifecycle of building open models and release and publish insights such as blogs and academic papers. Collaborate with cross-functional teams to deploy models and make them available to a wider community and customer base. Stay up-to-date with the latest advancements in machine learning.

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Develop novel architectures, system optimizations, optimization algorithms, and data-centric optimizations that significantly improve over state-of-the-art. Take advantage of the computational infrastructure of Together to create the best open models in their class. Understand and improve the full lifecycle of building open models; release and publish insights through blogs, academic papers, etc. Collaborate with cross-functional teams to deploy models and make them available to a wider community and customer base. Stay up-to-date with the latest advancements in machine learning.

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Develop novel architectures, system optimizations, optimization algorithms, and data-centric optimizations that significantly improve over state-of-the-art; take advantage of the computational infrastructure of Together to create the best open models in their class; understand and improve the full lifecycle of building open models; release and publish insights (blogs, academic papers, etc.); collaborate with cross-functional teams to deploy models and make them available to a wider community and customer base; stay up-to-date with the latest advancements in machine learning.

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The AI Research Scientist is responsible for designing, training, and optimizing machine learning models including large language models, multimodal models, transformers, and diffusion architectures. They conduct research on model efficiency, quantization, compression, and on-device deployment, prototype novel model architectures, training methods, and inference strategies for distributed AI. They also develop and evaluate benchmarks, datasets, and experimental frameworks to test model performance, collaborate with engineering teams to integrate research findings into production systems, stay current on leading research in deep learning, generative AI, and distributed ML, analyze experimental results and communicate insights to technical and non-technical stakeholders, document research findings, contribute to internal papers, present technical work across the organization, and identify emerging technologies to propose research directions aligned with company strategic priorities.

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Work on post-training and RLVR pipelines to understand how datasets, rewards, and training strategies impact model performance. Design and run reward-shaping experiments and algorithmic improvements to improve LLM tool-use, agentic behavior, and real-world reasoning. Quantify data usability, quality, and performance uplift on key benchmarks. Build and maintain data generation and augmentation pipelines that scale with training needs. Create and refine rubrics, evaluators, and scoring frameworks that guide training and evaluation decisions. Build and operate LLM evaluation systems, benchmarks, and metrics at scale. Collaborate closely with AI researchers, applied AI teams, and experts producing training data. Operate in a fast-paced, experimental research environment with rapid iteration cycles and high ownership.

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The Research Scientist will engage in hands-on technical work across all phases of research projects, from early exploration to developing working prototypes for real-world applications. They will take a leadership role in identifying promising AI applications relevant to the company's mission, formulate and advocate for research programs, and drive impactful initiatives. Collaboration with cross-functional teams to share research findings, advocate for their practical use, and guide productization efforts is required. Additionally, the role includes documenting experimental results, contributing to peer-reviewed publications, participating in patenting innovations, and mentoring junior researchers to help them develop their independent research and communication skills.

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Work on solving scientific challenges related to Conversational AI to build domain-specific, real-world solutions. Engage in hands-on technical work in all aspects of research projects from early exploration to working prototypes to achieve successful real-world applications. Identify promising applications of AI relevant to ASAPP’s core mission, formulate and advocate for research programs in those areas, and take ownership of driving impactful research initiatives. Collaborate with cross-functional teams to socialize research findings, advocate for their application, and guide the productization of those findings to improve customer experience solutions. Document significant experimental results, contribute to publishing peer-reviewed papers, and participate in patenting innovations. Mentor and guide junior researchers, helping them develop their skills in independent research and communication of their findings.

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Lead, mentor, and grow a team of research scientists and engineers working on spoken conversational AI research initiatives. Be deeply involved in hands-on technical work in all aspects of research projects from early exploration to working prototypes to achieve successful real-world applications. Identify promising applications of AI relevant to ASAPP's core mission, formulate and advocate for research programs in those areas, and take ownership of driving impactful research initiatives. Collaborate with cross-functional teams to socialize research findings, advocate for their application, and guide the productization of those findings to improve customer experience solutions. Document significant experimental results, contribute to publishing peer-reviewed papers, and participate in patenting innovations. Mentor and guide junior researchers to develop their skills in independent research and communication of findings.

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Lead, mentor and grow a team of research scientists and engineers working on spoken conversational AI research initiatives. Be deeply involved in hands-on technical work in any and all aspects of research projects from early exploration to working prototypes to achieve successful real-world applications. Identify promising applications of AI relevant to ASAPP’s core mission, formulate and advocate for research programs in those areas, and take ownership of driving impactful research initiatives. Work with cross-functional teams to socialize research findings, advocate for their application, and guide the productization of those findings to improve customer experience solutions. Document significant experimental results, contribute to publishing peer-reviewed papers, and participate in patenting innovations. Mentor and guide junior researchers, helping them develop their skills in independent research and communication of their findings.

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Research Engineers at ASAPP design, develop, and evaluate novel techniques in AI to advance the capabilities and impact of ASAPP’s products. They collaborate with product and engineering teams to ensure project success during the research phase and afterwards. They also build and maintain research datasets, infrastructure, and toolkits, and work with other functions at ASAPP to identify research opportunities.