Machine Learning Engineer, Telnyx
Conversational AI, LATM / EMEA
Full-stack platform for real-time conversational AI
Job no longer available
Full-stack platform for real-time conversational AI
201-500 employees
Job no longer available
201-500 employees
Company mission
To solve real-world problems, modernize the antiquated and automate the manual.
Role
Who you are
- A degree in Computer Science, Machine Learning, or a related field
- Experience with Ray Distributed Computing, including expertise in Ray Core, Ray Serve, and Ray Train
- Strong proficiency in Python software development
- General experience with AI tools and technologies, especially in developing Conversational AI applications
- Familiarity with open source AI libraries and frameworks
- Solid understanding of machine learning concepts and techniques
- Strong problem-solving skills and the ability to work independently and as part of a team
- Excellent communication skills and the ability to collaborate effectively with cross-functional teams
- Strong commitment to staying updated with emerging AI trends and technologies
- Familiarity with programming in Elixir, C/C++ or Go are a plus
What the job involves
- As a Machine Learning Engineer - Conversational AI, you will play a crucial role in the development and deployment of our Conversational AI applications
- Your primary responsibility will be to integrate open source AI tools and technologies to create engaging, natural, and efficient interactions between our AI systems and human users, leveraging features such as speech-to-text and text-to-speech
- Collaborate with cross-functional teams to design and develop Conversational AI applications that meet user needs and expectations
- Integrate open source AI tools and libraries to build scalable and efficient Conversational AI systems
- Develop and maintain speech-to-text and text-to-speech functionality for a seamless user experience
- Utilize Ray Distributed Computing to optimize AI model training and deployment
- Implement Python software development best practices to ensure the reliability and performance of AI systems
- Continuously research and stay up-to-date with the latest AI advancements and incorporate them into the projects
- Troubleshoot and resolve technical issues related to AI tools and systems
- Participate in code reviews and contribute to the improvement of code quality and standards
- Collaborate with AI researchers and data scientists to refine and enhance AI models
- Document technical specifications, processes, and project updates
Our take
As businesses increasingly look to integrate AI into customer interactions, one major challenge has emerged: the underlying infrastructure isn't build for real-time performance. Many companies rely on a patchwork of providers for voice, messaging, and AI, which can introduce delays, complexity and reliability issues. This becomes especially problematic for use cases like voice assistants or automated calls, where even slight latency can disrupt the experience.
Telnyx offers a full-stack platform that combines telephony, networking and AI infrastructure into a single system. In simple terms, it gives businesses everything they need to build and run real-time, AI-powered voice applications without stitching together multiple vendors. Its platform supports things like AI voice agents, programmable calls and messaging, all designed to work quickly and reliably across global networks.
The company now serves over 14,000 customers, processes millions of API requests daily and operates infrastructure across more than 60 countries. Recent recognition from Frost & Sullivan and partnerships likes it deal with Telarus point to growing enterprise adoption too. And as more businesses move toward AI-driven communications, Telnyx is positioning itself as the underlying infrastructure layer that makes those experiences fast and dependable.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-28% employee growth in 12 months
Company
Funding (1 round)
Sep 2014
$1m
SEED
Total funding: $1m
Company benefits
- Flexible, global team: Reaching our full potential means hiring people from all walks of life. Telnyx allows employees to work from home, and we offer in-person options for team members in Amsterdam, Chicago, Dublin and Warsaw
- Modern life, modern accommodations: Working in the business of innovation means offering support to our team to help them stay innovative. Telnyx offers unlimited personal time off to help employees recharge
- Benefits based on location: With team members across the globe, Telnyx offers competitive perks and benefits based on location. Employees in Ireland, the UK, and the US are eligible for healthcare benefits, and US employees also have access to 401(k) matching
Company HQ
Civic District, Austin, TX
Leadership
David Casem
(Co-Founder & CEO)Co-founded Telnyx in 2009 and has served as the CEO since.
Ian Reither
(COO)Prior to joining Telnyx as COO in 2014, Ian spent over 3 years at Trexin Consulting as a Principle Consultant.
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