The Impact You'll Drive

As a Senior ML Engineer (Speech Synthesis), you’ll be a founding member of the team building Telnyx’s next-generation speech synthesis systems. This is a greenfield opportunity — you’ll define the stack, architecture, and best practices for training and deploying state-of-the-art multilingual text-to-speech (TTS) models that power our voice AI agents.

You’ll build everything from distributed training pipelines to inference services that generate ultra-low-latency, lifelike voices across dozens of languages. Your work will bridge research and production — shaping how millions of people experience real-time conversational AI.

What You’ll Work On

• Own the stack from day one: Design and implement the ML training and inference pipelines for multilingual speech synthesis.
• Low-latency TTS: Engineer systems optimized for real-time, streaming speech generation with sub-100ms response targets.
• Train cutting-edge models: Build and fine-tune multilingual TTS systems using modern architectures — including LLM-based, diffusion, and flow-matching approaches.
• Massive-scale data processing: Develop pipelines for ingesting, aligning, and normalizing text, audio, and phonetic data across dozens of languages.
• Experimentation at scale: Run distributed training across multi-node GPU clusters, tracking results and iterating quickly.
• Cross-functional collaboration: Work with infrastructure and voice platform teams to deploy models that scale globally.
• Research meets production: Evaluate emerging techniques (LLM-guided synthesis, zero/few-shot voice cloning, full-duplex modeling) and bring them to life in production-grade systems.

What You’ll Work With

• Infrastructure: Docker, Kubernetes, Ray, Kubeflow, MLflow, Weights & Biases
• Data Systems: Kafka, Redis, PostgreSQL, Parquet
• You’ll define it: You’ll help select and implement the stack that supports distributed training, data processing, and inference for global deployment.

What We’re Looking For

• 6+ years of experience in machine learning or speech systems engineering
• Hands-on expertise with neural TTS, speech synthesis, or adjacent areas (ASR, voice cloning, multilingual modeling)
• You’ve obsessed over one or two hard problems, whether it’s building multilingual TTS from noisy data, teaching LLMs to speak, designing self-supervised audio encoders, or making diffusion models run in real time.
• Experience with LLM-based approaches to speech synthesis or prosody control
• Strong proficiency in Python and PyTorch
• Ability to deploy models efficiently (ONNX, TensorRT)
• Experience leading small teams and defining technical direction or team executables
• Production mindset: You build systems that run fast, stay stable, and are easy to maintain

Why Telnyx

You’ll be joining a company where voice, infrastructure, and AI converge. Telnyx is building the foundation for real-time, intelligent global communications — and your work on multilingual TTS will be at the core of that vision.



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Job Type: Full-Time Experience Level: Senior (7+ years)

We are looking for an experienced Senior Python Developer who excels at designing and architecting large-scale systems. In this role, you will be responsible for leading the development of robust, high-performance software platforms from the ground up. You’ll define architecture, guide technical decision-making, and ensure that our systems are reliable, maintainable, and built for growth. While experience with AI and automation is a plus, your core strength will be scalable architecture, distributed systems, and engineering leadership. You’ll collaborate across teams to deliver systems that power critical business functions and enable innovation.

Essential Duties and Responsibilities:

• Architect, design, and implement large-scale, distributed systems using Python
• Build and maintain scalable, secure, and high-performance platforms
• Design data processing pipelines to handle large volumes of structured and unstructured data
• Collaborate with product and engineering teams to translate business needs into technical solutions
• Drive code quality, performance, and maintainability through reviews, standards, and mentorship
• Ensure solutions meet scalability, availability, and reliability requirements
• Integrate AI/ML components where appropriate to enhance system capabilities
• Stay current with modern architecture patterns, tools, and best practices.

What You’ll Bring

• Proven track record in architecting and delivering complex, high-scale systems
• Strong proficiency in Python for backend development
• Expertise in distributed systems, microservices architecture, and API design
• Experience with vector databases (e.g., ClickHouse)
• Proficiency with containerization (Docker) and orchestration (Kubernetes)
• Familiarity with data engineering concepts (ETL, batch, and streaming pipelines)
• Strong problem-solving skills and ability to make high-impact technical decisions
• Excellent communication and leadership skills

Experience and Qualifications Required:

• Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
• Proficient English.
• 7+ years of experience developing end-to-end scalable solutions using Python.
• Experience as a leader, managing and mentoring other engineers.
• Experience with vector databases

Experience with Kubernetes Preferred:

• Proven leadership in extracurricular activities or community involvement, showcasing the ability to take initiative and lead in diverse environments.
• Track record of exceptional personal achievements, such as awards, competitions, or ambitious self-driven projects, reflecting discipline and a high level of motivation.
• Published research or contributions to open-source projects.
• Experience with AI domains such as NLP, computer vision, or reinforcement learning.
• Experience with frameworks (TensorFlow, PyTorch, Scikit-learn)

We work 3 days at Kaseya Krakow office per week, which is mandatory.