Machine Learning Researcher Opportunity
About our Research Program:
We are building the leading AI for customer service.
* This research opportunity provides a unique chance for high potential individuals to conduct or begin work on AI projects.
* Researchers will work towards advancing their understanding of modern AI through project work, on risky and uncertain AI projects.
What Will You Be Doing?
Conduct advanced research in Natural Language Processing (NLP), deep learning, reinforcement learning, and recommendation systems relevant to customer service and communication.
Develop and prototype machine learning models that enhance AI-driven customer interactions.
Contribute to academic research through publications in top-tier conferences and journals.
Explore emerging AI research areas and develop long-term strategies to advance the use of AI in customer service.
Potential Projects
* Replicate the work of Deepseek r1-zero to attempt to use reinforcement learning to train models for better instruction following
* Follow and build on the work of Anthropic on Scaling Monosemanticity to attempt to learn how to steer and control models
* Follow and build on the work of the Llama3 paper to investigate training new Capabilities into existing open source models
* Experiment with altering model personality in a way that could be useful in Customer Support
* Investigate fine-tuning smaller models with SFT to use for specific use cases
* Create benchmarks for agents that need to take actions reliably
* Evaluate building systems that use computer-use models to drive web browsers and integrate with legacy business systems
Who You Are
Typically currently pursuing or have completed a PhD in Computer Science, Machine Learning, AI, or a related field, or possess equivalent industry research experience.
We will also consider applicants from other quantitative fields, such as physics, maths, statistics etc with relevant experience.
Or those who can otherwise demonstrate outlier technical or quantitative talent.
Required Skills and Qualifications
* Experience bridging academic research and industry applications.
* Previous contributions to open-source AI research.
* Strong background in deep learning, reinforcement learning, NLP, or unsupervised learning.
* Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or JAX.
* Proficient in Python and familiar with data processing techniques for large-scale datasets.
* A strong research publication record in machine learning, AI, or NLP (NeurIPS, ICML, ACL, etc.).
* Excellent communication skills, with the ability to convey complex research to technical and non-technical audiences.
Why Join Our Fellowship Program?
* Work on high-impact projects that shape the future of AI in customer service.
* Gain hands-on industry experience while maintaining strong research connections.
* Collaborate with a diverse and talented team of ML engineers, researchers, and product teams.
* Access mentorship from senior AI/ML experts.
* Flexible working environment with the potential to publish and showcase research.