Senior Product Manager, Integration Agents
Develop state-of-the-art tools for correcting, improving, and enhancing written English using various NLP, ML, and DL technologies. Productize and ship these features into Superhuman's product offerings, which millions of users use daily. Stay up-to-date with the latest research trends that could improve the product. Contribute to the research strategy and technical culture of the company. Attract professionals in the industry to build a best-in-class research team that creates a state-of-the-art writing and communication assistant.
MEP Manager, Data Centers
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.
Researcher, Synthetic RL
As a Research Scientist on the Synthetic RL team, you will develop novel reinforcement learning techniques that use synthetic environments and feedback to improve large-scale models. You will research and develop reinforcement learning algorithms, design and run experiments to study training dynamics and model behavior at scale, and collaborate with engineers and researchers to integrate successful approaches into model training pipelines.
Software Engineer — Summer Intern
As a Research Intern at Snorkel AI, you will contribute to internal research and academic collaborations by developing and evaluating new methods for data development for foundation models and enterprise AI systems, including dataset construction, augmentation, synthetic data, and evaluation. You will research supervision and evaluation techniques such as rubrics and verifiable rewards, design experiments and run rigorous empirical studies including ablations, benchmarks, and error analysis. Additionally, you will build lightweight research prototypes and tooling in Python to support internal studies, collaborate with academic partners and internal research teams by reading papers, proposing hypotheses, and iterating quickly. Projects may involve synthetic data generation and filtering, creating evaluation datasets and benchmarks for LLM/RAG/agent behavior, data-centric methods for improving reliability, calibration, and failure-mode coverage, and evaluating HITL data annotation processes, gaps, and improvements.
AI Researcher — Summer Intern
As a Research Intern at Snorkel AI, you will contribute to internal research and academic collaborations by exploring and validating new ideas for future publications, open-source artifacts, and product directions. Responsibilities include developing and evaluating new methods for data development for foundation models and enterprise AI systems, such as dataset construction, augmentation, synthetic data, and evaluation; researching supervision and evaluation techniques like rubrics and verifiable rewards; designing experiments and conducting rigorous empirical studies including ablations, benchmarks, and error analysis; building lightweight research prototypes and tooling in Python to support internal studies; collaborating with academic partners and internal research teams by reading papers, proposing hypotheses, and iterating quickly.
Revenue Operations Intern (Summer 2026)
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 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.
Senior Financial Analyst, GTM
The Applied Research Scientist is responsible for developing state-of-the-art tools for correcting, improving, and enhancing written English using various NLP, ML, and DL technologies. They will productize and ship these features into Superhuman's product offerings used by millions of users daily. The role requires staying up-to-date with the latest research trends that could 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 that creates a state-of-the-art writing and communication assistant.
Software Engineer Intern (Summer 2026)
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.
Security Engineer Intern (Summer 2026)
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.
Frontier Agents Intern (Summer 2026)
Develop novel architectures, system optimizations, optimization algorithms, and data-centric optimizations that significantly improve over state-of-the-art. Utilize 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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