Symbl.ai Logo

Symbl.ai

ML Engineering Intern - Nebula

Reposted 11 Days Ago
Easy Apply
Remote
Hiring Remotely in United States
Internship
Easy Apply
Remote
Hiring Remotely in United States
Internship
As a Machine Learning Engineering Intern at Symbl.ai, you will develop and enhance large language models, implement ML algorithms, and work with real-world conversational data.
The summary above was generated by AI

Elevating the quality of human life through every conversation

About the Team:

At Symbl.ai, we are a trailblazing force in the world of artificial intelligence, committed to pushing the boundaries of technology. Our latest breakthrough - the Nebula LLM - represents the cutting edge of innovation, and we're looking for dedicated Machine Learning Engineering Interns to be part of this journey.
About the Role:

As a Machine Learning Engineering Intern at Symbl.ai, you will immerse yourself in the dynamic world of Nebula, our pioneering large language model (LLM). You will work at the forefront of machine learning, tackling real-world challenges and developing innovative solutions that shape the future of AI and language technology.

Highlights of the ML Engineering Intern Role at Symbl.ai:

Join a collaborative, agile environment that fosters innovation and supports your growth as a machine learning professional. This is an exciting opportunity to work with large-scale, novel conversational data; and train and deploy foundational large language models from the ground up.


Working as a Machine Learning Engineering Intern, you will:

  • Collaborate on the development and enhancement of the Nebula LLM, our flagship product.
  • Dive into real-world data, exploring unique challenges in language technology.
  • Implement machine learning algorithms and techniques to solve complex problems.
  • Work closely with experienced professionals to gain insight into AI/ML research.
  • Engage in a variety of projects that directly impact our product's capabilities.
  • Gain practical experience in a collaborative work setting that encourages learning and personal development.

    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:

  • Hold a Ph.D. or Master's degree in a relevant scientific or technical field.
  • Have a strong foundation in machine learning, natural language processing, and deep learning.
  • Be proficient in programming languages such as Python, and exhibit familiarity with ML libraries.
  • Have experience working on large-scale ML and Deep Learning projects.
  • Have demonstrable prior hands-on experience and projects in relevant areas.
  • Demonstrate strong analytical and problem-solving skills.
  • Possess effective communication and teamwork abilities.
  • Show a passion for pushing the boundaries of AI and language technology.


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 [email protected]. We look forward to getting to know you!


Top Skills

Deep Learning
Machine Learning
Ml Libraries
Natural Language Processing
Python

Similar Jobs

12 Minutes Ago
Remote
US
190K-220K Annually
Senior level
190K-220K Annually
Senior level
Financial Services
The Principal Software Engineer will build customer-centric software using React and Next.js, mentor team members, and ensure high-quality code practices.
Top Skills: AWSNext.JsReactStorybookTailwindTypescript
12 Minutes Ago
Remote
USA
218K-257K Annually
Senior level
218K-257K Annually
Senior level
Cloud • Fintech • Cryptocurrency • NFT • Web3
As a Staff Software Engineer, you'll lead architectural projects, mentor team members, and develop scalable systems for fund movements at Coinbase, while ensuring high reliability and performance.
Top Skills: AeronBlockchainEthereumJavaRaft
28 Minutes Ago
Remote
USA
Senior level
Senior level
Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
The Senior Software Engineer will develop and implement algorithms for 3D geometry for dental restorations, creating tools for CAD systems that interact with manufacturing machines and integrating AI solutions.
Top Skills: 3D PrintingCadDeep LearningGeometry Processing

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account