Senior Machine Learning Engineer, Parloa
Language Capabilities
Conversational AI platform
Be an early applicant
Conversational AI platform
201-500 employees
Be an early applicant
201-500 employees
Company mission
To help companies create outstanding customer conversations with AI because people deserve great customer service.
Role
Who you are
- 7+ years of experience as a machine learning engineer
- Strong engineering background with end-to-end ownership experience of production machine learning systems and operations
- Strong proficiency in Python and experience with modern ML frameworks and libraries
- Experience working with text data; experience working with audio data and STT/TTS systems is a strong plus
- Broad cloud-native expertise including containerization, orchestration, IaC, deployment tools, cloud data platforms (e.g., Databricks), and observability systems
- Experience with MLOps practices, including experiment tracking, model versioning, and automated deployment
- Strong understanding of backend service architecture, API design, and microservices patterns, with hands-on experience in building real-time systems and managing high-throughput production workloads
What the job involves
- 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
- 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
Application process
- Recruiter video call → Hiring Manager Interview → Technical Stage (Coding Session) + Machine Learning (Case Study) → Meeting the team
Our take
There is an inherent lack of efficiency in many call centres. This not only creates irritation for customers and negative experiences for agents but, as a result, it harms a company’s reputation whilst generating high costs for businesses.
On a mission to put an end to the madness of a call centre, Berlin-based Parloa offers a conversation AI platform that is changing the way businesses communicate with their customers. Using artificial intelligence, Parloa provides unique solutions for companies that makes their specific service smarter.
The company has attracted impressive funding off the back of tripling revenue growth and a 2023 entry into the US market. This will be invested into scaling its operations across the US and EU and will support its product enhancement initiatives.
Steph
Company Specialist at Welcome to the Jungle
Insights
140% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
May 2025
$120m
SERIES C
Apr 2024
$72.1m
SERIES B
Total funding: $220.2m
Company benefits
- Opportunity to build and scale your career at the intersection between sales and product in a dynamic and growing startup on its journey to become the international leader in SaaS platforms for Conversational AI
- Be part of a dynamic, driven and international team with flat hierarchies and collaborative company culture and set new industry standards in customer communication
- Competitive salary
- Training and development budgets which can be used for conferences, attending development courses to ensure continuous professional growth
- Flexible working hours and possibility to take additional vacation days
- A great company culture with regular team events, games night or other social activities
- And last but not least: a beautiful office with flair in the heart of Berlin with all the conveniences, such as adjustable desks, social area, fresh fruits, cereals and drinks
Company HQ
Prenzlauer Berg, Berlin, Germany
Leadership
Malte Kosub
(CEO)Previous co-founder and Managing Director for both Future of Voice and Wandnotiz.
Salary benchmarks
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