Senior Research Scientist, Machine Learning

Summary

Join Clarifai's Research Team as a Senior Research Scientist and apply cutting-edge academic insights to practical AI/ML applications. You will lead R&D initiatives in computer vision, natural language processing, and multi-modal AI, developing scalable solutions and collaborating with various teams. Your work will directly impact Clarifai's products and customers, pioneering new AI capabilities. You'll leverage your deep learning expertise to drive product innovation and contribute to the company's strategic vision. This role requires a strong background in neural network development and experience with relevant libraries and tools. The position offers a competitive salary and the opportunity to influence the future of AI/ML.

Requirements

• 3+ years of hands-on experience in neural network development, with a strong focus on computer vision and/or natural language processing
• Experience with multiple imaging modalities
• Expertise in Python, as well as experience with libraries such as numpy, pandas, scikit-learn, and matplotlib. Proficiency in PyTorch is required
• Advanced degree (PhD/Masters) in Computer Science, Mathematics, Engineering, or a related field

Responsibilities

• Lead and participate in R&D initiatives in new research domains, particularly in CV, NLP, and multi-modal to augment Clarifai's product capabilities and meet customers’ unique needs
• Engage in rapid prototyping and experimental methodologies to fast-track innovation
• Develop clear, maintainable code that can be adopted and extended by others
• Adhere to best engineering practices, including source control management, code reviews, and test-driven development
• Foster a collaborative and inclusive environment, sharing knowledge and insights within and beyond Clarifai

Preferred Qualifications

• Has an Active Secret or Top Secret clearance, or eligibility to obtain such a clearance
• Previous projects developing object detection, multi-object tracking, LLMs, LLM applications (chat, RAG, PEFT, etc.), and/or multi-modal models or applications (Captioning, VQA, cross-modal retrieval)
• Experience in other machine learning domains, such as audio/signal processing or synthetic aperture radar (SAR)
• Experience with the open source AI/ML ecosystem such as Hugging Face, OpenMMLab, etc
• Experience with government contracting
• Published research, especially in CV, NLP, and/or multi-modal AI
• PhD in machine learning-related discipline

Benefits

The salary hiring range for this position is $175,000 - $215,000 and flexible depending on relevant experience