AI Research Scientist
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.
Research Scientist
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.
Research Scientist
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.
Product Marketing Manager, Sales Enablement and Competitive Intelligence
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.
Software Engineer Intern (Summer 2026)
As an Applied Research Scientist at Superhuman, the role involves developing state-of-the-art tools for correcting, improving, and enhancing written English using various NLP, machine learning, and deep learning technologies. The individual will productize and ship these features into Superhuman's product offerings used by millions daily. They are expected to stay up-to-date with the latest research trends that could improve the product, contribute to the company's research strategy and technical culture, and attract professionals to build a best-in-class research team for the writing and communication assistant product.
Machine Learning Scientist
Design and conduct experiments to evaluate AI model behavior across reasoning, style, robustness, and user preference dimensions; develop new metrics, methodologies, and evaluation protocols that go beyond traditional benchmarks; analyze large-scale human voting and interaction data to uncover insights into model performance and user preferences; collaborate with engineers to implement and scale research findings into production systems; prototype and test research ideas rapidly, balancing rigor with iteration speed; author internal reports and external publications that contribute to the broader ML research community; partner with model providers to shape evaluation questions and support responsible model testing; contribute to the scientific integrity and transparency of the LMArena leaderboard and tools.
Member of Technical Staff - Evaluations
Conduct critical comparative analysis to advance understanding of model capabilities. Build and refine evaluation systems and processes that create tight feedback loops between data, evaluations, and model behavior. Develop generalizable evaluation frameworks that capture what matters for reasoning, alignment, and usefulness. Collaborate closely with pre-training, post-training, and applied teams to translate insights into model improvements. Push the boundaries of what is measurable, including synthetic evaluations, human feedback, and real-world interaction data.
Early Career Program
As an Applied Research Scientist at Superhuman, the core responsibilities include developing state-of-the-art tools for correcting, improving, and enhancing written English using various NLP, ML, and DL technologies. The role requires productizing and shipping these features into Superhuman's product offerings used by millions daily. The individual must stay up-to-date with the latest research trends that could enhance the product, contribute to the research strategy and technical culture of the company, and help attract professionals in the industry to build a best-in-class research team that creates state-of-the-art writing and communication assistants. Additionally, the position involves contributing to ideation and defining solution spaces based on a deep understanding of ML/DL/NLP concepts and building intelligent functionality in the company's product offerings.
Security Engineer
As an Applied Research Scientist, the responsibilities include developing state-of-the-art tools for correcting, improving, and enhancing written English using various NLP, ML, and DL technologies; productizing and shipping these features into Superhuman's product offerings used daily by millions; staying up-to-date with the latest research trends to improve the product; contributing to the research strategy and technical culture of the company; and attracting professionals in the industry to build a best-in-class research team to create a state-of-the-art writing and communication assistant.
Member of Technical Staff, Pretraining evaluations
As a Member of Technical Staff in the pretraining evals team, you will deeply understand each individual evaluation task in the base model evaluation suite, knowing what each task measures and their strengths and limitations. You will suggest and implement improvements to the evaluation suite by adding new tasks to measure unmeasured model capabilities or removing redundant or low-signal tasks. Additionally, you will improve the statistical understanding of the evaluations and enhance the signal-to-noise ratio of the evaluation suite.
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