About the Company

Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision, natural language processing, & audio recognition. We help organizations transform unstructured images, video, text, & audio data into structured data at a significantly faster & more accurate rate than humans would be able to do on their own. Founded in 2013 by Matt Zeiler, Ph.D. Clarifai has been a market leader in AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai continues to grow with employees remotely based throughout the United States, Canada, Estonia, Argentina & India.

We have raised $100M in funding to date, with $60M coming from our most recent Series C, & are backed by industry leaders like Menlo Ventures, Union Square Ventures, Lux Capital, New Enterprise Associates, LDV Capital, Corazon Capital, Google Ventures, NVIDIA, Qualcomm & Osage.

Clarifai is proud to be an equal opportunity workplace dedicated to pursuing, hiring, & retaining a diverse workforce.

The Opportunity

Note: We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas for this particular opportunity, as we are looking for someone who is eligible for a Secret or Top Secret Clearance

As a member of our Research Team, you will apply the latest academic insights to practical applications, pioneering solutions that shape the future of Clarifais AI platform. Your role involves pushing the boundaries of what's possible in AI/ML today, transforming the latest academic research into practical, scalable solutions. Collaborating closely with our MLOps, Engineering, Professional Services, & Product teams, your work will not only enhance our existing products & have direct impact on our customers, but also pioneer new directions for Clarifai's AI capabilities. Your deep learning expertise, particularly in CV, NLP, & multi-modal AI, will be crucial in driving our product innovation & strategic vision. You will keep up with state-of-the-art advances through continual learning, internal research projects, conference attendance, & collaboration with academic & industry partners.

We are looking for someone motivated by having their ideas & creations out in the world in the hands of users & who shares our excitement about the potential of AI/ML to positively transform our world. We value a collaborative, inclusive environment & seek those who are skilled at sharing knowledge inside & outside of Clarifai.

Key Responsibilities:

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

Impact

As one of Clarifais Senior Research Scientists, your work will resonate throughout the developer & AI/ML communities, significantly influencing Clarifai's market position & innovation trajectory. You will leverage cutting-edge machine learning tools & impart your deep learning expertise across the organization, driving our mission forward.

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 numpyy, pandas, scikit-learn, & matplotlib. Proficiency in PyTorch is required.
• Advanced degree (PhD/Masters) in Computer Science, Mathematics, Engineering, or a related field.

Great to Have

• 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, NLM, and/or multi-modal AI.
• PhD in machine learning-related discipline.