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Parloa

Amplify your customer service experience with an AI agent management platform.

Principal Applied Scientist

Research ScientistResearch ScientistFull TimeRemoteLeadTeam 201-500H1B No SponsorCompany SiteLinkedIn

Location

Germany

Posted

24 days ago

Salary

0

Seniority

Lead

Postgraduate Degree12 yrs expEnglish

Job Description

Principal Applied Scientist

Parloa

• 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

Job 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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