Parloa
201 - 500 employees
💰 Series B on 2024-04
Parloa is a leading global AI company with a vision to make every customer interaction as easy as talking to a friend. We amplify the customer service experience with our AI Agent Management Platform. This enterprise-grade platform automates contact centers by leveraging the full power of generative AI safely & reliably in the context of consumer interactions. It combines highly-skilled personal AI agents that engage in natural and unique conversations with every customer, with AI assistance for human agents when they get on the line. Global brands trust Parloa to connect with their customers, ensuring they feel heard through exceptional experiences that increase satisfaction, encourage sales, and build loyalty. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald with offices in Berlin, Munich, and New York.
Principal Applied Scientist
🕒 May 7
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Parloa
201 - 500 employees
💰 Series B on 2024-04
Parloa is a leading global AI company with a vision to make every customer interaction as easy as talking to a friend. We amplify the customer service experience with our AI Agent Management Platform. This enterprise-grade platform automates contact centers by leveraging the full power of generative AI safely & reliably in the context of consumer interactions. It combines highly-skilled personal AI agents that engage in natural and unique conversations with every customer, with AI assistance for human agents when they get on the line. Global brands trust Parloa to connect with their customers, ensuring they feel heard through exceptional experiences that increase satisfaction, encourage sales, and build loyalty. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald with offices in Berlin, Munich, and New York.
📋 Description
• Define and lead applied AI initiatives across agent systems, LLM evaluation, and model optimization • Own ambiguous problem spaces end-to-end: from framing and experimentation to production impact • Design and implement evaluation & benchmarking frameworks, leveraging and challenging industry standards — and where needed, defining new ones • Drive innovation in agentic systems, including topics like routing, memory, and context engineering • Prototype and validate new approaches (e.g., model combinations, fine-tuning strategies, or open-weight models) • Translate research into production-ready solutions, working closely with engineering teams • Act as a technical authority and multiplier, mentoring others and shaping best practices • Establish and lead the Applied Science guild, fostering knowledge sharing and raising the bar across teams • Influence product and technical strategy, identifying where applied science can unlock the most value
🎯 Requirements
• 12+ years of experience in Applied Machine Learning, Applied Science, or a related field, with a proven track record of delivering ML/AI systems in production • Experience with agent-based systems or multi-step LLM workflows • Strong recent experience working with LLMs and Generative AI systems, ideally in production environments • Demonstrated ability to own and drive ambiguous problem spaces end-to-end—from problem framing to measurable impact • Deep understanding of evaluation methodologies, benchmarking, and model performance analysis, including human-in-the-loop approaches • Hands-on technical skills, with the ability to prototype, experiment, and ship solutions in collaboration with engineering teams • Experience working on production systems, balancing speed, quality, and scalability • Proven technical leadership and influence, with experience shaping direction, mentoring others, or driving cross-team initiatives • Ability to operate at both strategic and execution levels, connecting long-term vision with day-to-day decisions • Strong communication skills, with the ability to clearly articulate ideas and influence technical and non-technical stakeholders • Evidence of broader impact (e.g., published work, open-source contributions, internal initiatives, or industry influence) is a plus.
🏖️ Benefits
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options
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