Research Intern (AI/ML)

Job Posted 17 Days Ago Posted 17 Days Ago
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Hiring Remotely in United States
Remote
Internship
Artificial Intelligence • Machine Learning • Natural Language Processing • Conversational AI • Generative AI
Symbl.ai offers purpose built AI to transform unstructured communication data into actionable intelligence.
The Role
As a Research Intern at Symbl.ai, you will engage in transformative AI/ML research projects, working with real-world data and deploying ML techniques. Your responsibilities include contributing to the development of the Nebula LLM, analyzing data, and collaborating with experienced researchers and developers.
Summary Generated by Built In

Elevating the quality of human life through every conversation

About the Team:

The Symbl AI Research team serves as a vital link connecting our research division with our valued customers. Through tackling real-world use cases, we gain valuable insights into our technology's current capabilities and identify promising research areas to prioritize in the future. We are currently seeking Research Interns to come on board and assist us in unlocking the complete potential of our current product suite, headlined by  the Nebula LLM. 


About the Role:

As a Research Intern at Symbl.ai, you will have the opportunity to be part of our dynamic team and engage in meaningful research projects. Your role will involve working with real world data and scenarios, and deploying ML techniques and algorithms at scale to solve problems of vital business value. This role is designed for passionate individuals who are eager to contribute to our innovative work in AI/ML and research.

Highlights for Research Intern  at Symbl.ai:

In this role, you will have the unique opportunity to immerse yourself in the world of Nebula, our cutting-edge large language model (LLM), and work on state-of-the-art techniques at the intersection of Machine Learning and AI Research. You will be part of a highly collaborative and agile environment that nurtures innovation and fosters your growth as a research professional.

Working as a Research Intern, you will:

  • Contribute to the development and advancement of the Nebula LLM, our flagship product.
  • Work with experienced researchers and developers to conduct novel research, and translate that into real world impact.
  • Dive into real-world Machine Learning applications.
  • Work on research projects that push the boundaries of AI and NLP technology.
  • Gain hands-on experience in deploying AI tools and techniques. 
  • Analyze data, experiment with algorithms, and enhance your problem-solving skills.
  • Develop deep, hands-on knowledge of building, maintaining, and deploying a large language model. 

Please Note: Although we have focused centers in Seattle, WA and Pune, IN, there are no restrictions on where you can be located for this role - Symbl is fully remote.  

To excel in this role, you should:

  • Have a strong passion for AI/ML/NLP research and a desire to learn.
  • Hold (or currently pursuing) a Ph.D. or Master's degree in an AI/ML/NLP area.
  • Possess a solid foundation in Machine Learning concepts.
  • Demonstrate strong analytical and problem-solving skills.
  • Be proficient in data analysis and research methodologies.
  • Have a prior portfolio of hands-on development work, preferably in the AI/ML space (include link to examples or Github).
  • Show a keen interest in AI and technology trends.
  • Demonstrated research work, including but not limited to published work.
  • Possess effective communication and teamwork skills.
  • Be adaptable, curious, and committed to contributing to the research community.
  • Be self-driven, motivated, and hold strong technical opinions.

About Symbl.ai

We are a venture-funded AI startup building conversational AI since 2018; and the journey of building safe, secure and business-ready AI to solve problems in communication experiences informs a lot of the decisions we make about how we build our technology. Symbl is a developer-first platform whose core mission is to bring understanding and generative AI to every business that  relies on understanding human conversations, and give machines the ability to comprehend communications better than humans. We believe this will transform how businesses think about their knowledge and will accelerate the various use cases where unlocking unstructured data for business use cases generates ROI at scale.
We obsess about a great developer experience for all our products, the business-readiness of the AI we build, and pride ourselves in bringing state-of-the-art Large Language Models (LLMs) to multi-modal multi-party conversations. 

As an organization, we firmly believe in equal opportunity and do not engage in any form of discrimination based on race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or any other legally protected status. We are committed to maintaining a diverse and inclusive work environment where every individual is respected and valued for their unique contributions.


How to Apply: Email with your cover letter including any relevant links to Github or your recent publications to careers@symbl.ai. We look forward to getting to know you!

Top Skills

AI
Ml
Nlp
The Company
HQ: Seattle, WA
55 Employees
Hybrid Workplace
Year Founded: 2018

What We Do

Symbl.ai unlocks access to state of the art understanding and generative AI models purpose built for conversation data. It enables businesses to transform unstructured conversations into knowledge. Symbl.ai products include Automatic Speech Recognition, APIs for conversation intelligence such as sentiment, entities, trackers, and more, Nebula LLM for generative tasks, and Insights UI as a pre-built UI experience.

Why Work With Us

Symbl.ai is a globally distributed team of innovative, smart, and self driven people from business, data science, ML, product management, product marketing & engineering domains. At Symbl.ai, you will be part of a curious, customer obsessed, and motivated workforce and enjoy high ownership to deliver creative solutions in generative AI space. With

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