Machine Learning Engineering Intern, Symbl.ai
Nebula
Conversation intelligence platform for developers
Open for applications
Conversation intelligence platform for developers
21-100 employees
Open for applications
21-100 employees
Company mission
To elevate the quality of human life through every conversation.
Role
Who you are
- To be eligible for this position, you should be currently enrolled in a post-secondary program and available for a full-time 3-6 month internship, co-op, or research work term (January - April)
- 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 familiarity with ML libraries
- 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
What the job involves
- 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 on the forefront of machine learning, tackling real-world challenges and developing innovative solutions that shape the future of AI and language technology
- Join a collaborative, agile environment that fosters innovation and supports your growth as a machine learning professional
- Collaborate on the development and enhancement of 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 insights into AI research
- Engage in a variety of projects that directly impact our product's capabilities
- Gain practical experience in a remote work setting that encourages learning and personal development
Our take
Data analytics has changed the way businesses operate - what customers buy, how often, what they nearly buy, etc. An individual’s online experience is full of data, telling a business what’s working, what’s not, and how they can change. But what’s much harder is to collate data from, say, a customer service phone call. That’s where Symbl comes in, with its conversation intelligence software.
Symbl boasts a hefty set of features, including topic and ‘sentiment’ recognition, automatic transcription (with identification of multiple speakers in over 30 languages), as well as question and answers analytics and keyword detection. It’s a thoroughly impressive package, with usages like data analysis from customer calls and performance reviews for customer support or sales teams.
Within the realm of human voice analysis, Symbl has impressive capabilities. But conversation intelligence is a market with other big players, like Gong or Chorus.ai. While Symbl’s features are technically more impressive than those of Gong, Symbl falls short on holistic analysis including SMS and email, which can provide a clearer picture. Symbl works well but has tough competitors to differentiate itself from.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Nov 2021
$17m
SERIES A
Dec 2020
$4.7m
EARLY VC
Total funding: $23.7m
Company benefits
- 100% covered health coverage for you, and 90% for your love ones
- 100% covered Life & AD&D, and short-term disability coverage for you
- 401(k) with 3% matching
- Continued education and professional development stipend
- WFH and Wellness stipend
- 18 paid holidays
- Unlimited PTO
- Flexible schedule
Company values
- Connect not transact
- Be self-aware
- Obsess over customer value
- Stay curious
- Commit to growth
- Empower each other
- Do not settle for mediocrity
Company HQ
Pike Pine Retail Core, Seattle, WA
Articles
Leadership
Toshish Jawale
(CTO)Previously worked as a Software Engineer at Media Magic Technologies, was Co-founder of TimeNome, Co-Founder & CTO of upa.io, and was a Software Architect at Amdocs.
Surbhi Rathore
(CEO)Former Software Engineer at Nevis Networks, and Software Development Team Lead at Amdocs. They are also currently an Ambassador for Women in AI and a Member of the Forbes Technology Council.
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