Empowering corporate mentorship for effective learning
Together is a corporate mentorship management platform founded in 2018, headquartered in CityPlace, Toronto, ON. The platform streamlines the mentorship lifecycle, facilitating connections among employees at companies like Heineken, Reddit, and 7-Eleven. With $1.7 million in seed funding, Together a...
Together offers competitive salaries and equity packages, 4 weeks of paid vacation, and a comprehensive health, dental, and vision plan through Honeyb...
Together fosters a culture of autonomy and impact, allowing employees to take on significant responsibilities without bureaucratic constraints. The fo...
Together AI • San Francisco
Together AI is hiring a Research Intern for their Turbo team to explore efficient post-training and reinforcement learning methods for large language models. You'll work with Python and machine learning techniques in San Francisco.
You are pursuing a PhD or MS in a relevant field, demonstrating a strong foundation in machine learning and artificial intelligence. Your academic background has equipped you with the skills to tackle foundational questions in reinforcement learning and post-training systems. You have a keen interest in how inference systems interact with learning algorithms, and you are eager to contribute to research that aims to make these systems more efficient and scalable.
You possess a solid understanding of Python and its application in machine learning contexts. Your experience may include coursework or projects that involve reinforcement learning, allowing you to engage deeply with the challenges of optimizing large language models. You are comfortable with complex problem-solving and enjoy collaborating with a team of researchers to push the boundaries of AI technology.
You are motivated by the potential impact of your work on the future of AI systems, believing in the importance of open and transparent methodologies. You thrive in an environment that encourages innovation and creativity, and you are excited about the opportunity to co-design algorithms and systems that can lead to significant advancements in the field.
Experience with large-scale experimentation and inference systems would be a plus, as it aligns closely with the goals of the Turbo Research team. Familiarity with advanced machine learning frameworks and libraries, such as TensorFlow or PyTorch, can enhance your contributions to the projects you will be involved in.
As a Research Intern at Together AI, you will join the Turbo Research team, focusing on the intersection of reinforcement learning algorithms and inference systems. Your primary responsibility will be to study and develop methods that improve the efficiency and scalability of post-training processes for large language models. You will engage in hands-on research, co-designing algorithms that consider the intricate relationship between inference behavior and training efficiency.
You will work on projects that aim to unlock new regimes of experimentation, allowing for larger models and more complex evaluations. This will involve rethinking how inference, scheduling, and training interact, providing you with a unique opportunity to contribute to cutting-edge research in AI.
Collaboration will be key in this role, as you will work closely with other researchers and engineers to share insights and refine methodologies. You will participate in regular team meetings, presenting your findings and discussing potential improvements to ongoing projects. Your contributions will help shape the direction of the Turbo Research team's efforts and influence the development of innovative AI solutions.
Together AI is committed to fostering a collaborative and inclusive work environment. As an intern, you will have the chance to learn from experienced researchers and gain valuable insights into the field of AI. You will be part of a mission-driven team that values open and transparent AI systems, and you will contribute to projects that aim to significantly lower the cost of modern AI technologies.
We encourage you to apply even if your experience doesn't match every requirement. Your enthusiasm for research and willingness to learn are what matter most. This internship will provide you with a platform to grow your skills and make meaningful contributions to the field of artificial intelligence.
Join us in San Francisco for a summer of exploration and innovation in AI research, where your work can help shape the future of technology.
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