YOUR MISSION:

As Engineering Manager for a Language Capabilities / Machine Learning (f/m/d)*, you will empower and lead a team of experienced data scientists, machine learning, and backend engineers to design and develop a platform to fine-tune and orchestrate speech model and processing services and expand our tech capabilities to a broad set of languages. You will lead a data science experimentation process to improve these models. The team will operate machine learning components critical to Parloa’s success. You will set a high bar for engineering excellence and support your reports, supporting their growth and motivating them to solve complex challenges as a team. Your team will make an impact in transforming the entire customer service industry with data and AI. 

IN THIS ROLE YOU WILL:

• Grow and lead a team of 5-7 machine learning engineers, backend engineers, and data scientists, fostering a culture of collaboration and technical excellence. 
• Empower your team to take ownership of critical Speech-to-text and Text-to-speech models and to develop a scalable approach for customizing speech models to customer-specific requirements in a broad range of languages
• Take ownership of speech services, such as acoustic echo cancellation, voice activity detection, and Language detection
• Deliver services for orchestrating ML models that are critical for Parloa’s platform
• Work with product management to ensure your team’s work aligns with company strategy and customer needs
• Develop your team via effective coaching and by providing them with growth opportunities

Our Data Tech stack: 

Microsoft Azure, Python, Kubernetes, Terraform, Docker, Databricks, OpenAI, MongoDB, Redis

WHAT YOU BRING TO THE TABLE:

• 7+ years of experience as a backend engineer/machine learning engineer and/or data scientist
• 3+ years of experience as a people manager
• Experience in leading machine learning initiatives
• Experience in leading engineering teams that own production services
• Experience with developing and maintaining real-time machine learning products end-to-end: translating product requirements into technical requirements, data gathering/transformation and exploration, model productionization, maintenance, monitoring, optimization
• Experience establishing best practices in engineering and machine learning excellence (security, scalability, availability, etc.)
• Strong interpersonal skills and excellent spoken and written communication skills in English

NICE TO HAVE:

• Experience working with voice data or NLP is a plus

WHAT'S IN IT FOR YOU?

• Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture.
• Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI.
• Competitive compensation and equity package.
• Flexible working hours, 28 vacation days and workation opportunities.
• Access to a training and development budget for continuous professional growth.
• Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches.
• Regular team events, game nights, and other social activities.
• Work from a home and/or our beautiful office(s) in the heart of Berlin or Munich with adjustable desks, social areas, fresh fruits, cereals, and drinks.

Your recruiting process at Parloa:

Recruiter video call → Meet your manager → Technical / Expert interview(s) → Meet CTO