YOUR MISSION:

As a Senior Machine Learning Engineer - Language Capabilities (f/m/d)*, you will build, scale, and improve Parloa’s platform to evaluate and fine-tune machine learning models required to extend Parloa to new languages. You will take ownership of critical backend services and machine learning systems in speech-to-text, text-to-speech, and NLP across multiple languages.
As a part of the Language Capabilities team, you will ensure our production systems are robust, scalable, and continuously improving. You will leverage cutting-edge technologies to maintain Parloa’s competitive edge in transforming the customer service industry with AI.

WHY PARLOA?

Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York.
When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey.
Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team.

Parloa is committed to upholding the highest data protection standards for our clients’ and employees’ data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.

• We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

• Execute machine learning projects end-to-end, including model fine-tuning, productionization, monitoring, maintenance, and continuous optimization.
• Own and maintain critical backend services and infrastructure for speech processing, service orchestration, production monitoring, and observability solutions to ensure high availability and performance.
• Build and improve our model finetuning platform and data processing pipelines from dataset preparation and provider integration to model deployment, endpoint management, audio processing, transcription, evaluation, and synthetic data generation.
• Work closely with your Engineering Manager, team members, and data platform engineers to shape technical architecture decisions for international scalability while ensuring security, scalability, availability, best practices, and engineering, as well as ML excellence.
  Our Tech Stack: Microsoft Azure, STT & TTS models and service providers, Python, Kubernetes, Terraform, Docker, Kafka, Databricks, Preset, DataDog, GitHub Actions, Helm, MLflow, git