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Senior/Staff Applied Research Scientist (Europe, Remote)

Chatdesk

Remote · USFull-timePosted 2y agoStill listed 3 days ago

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At a glance

Compensation
No compensation found
Location
Remote · US
Schedule
Full-time
Work Authorization
Not specified

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Job overview

Chatdesk is hiring a Senior/Staff Applied Research Scientist (Europe, Remote). Chatdesk is seeking a Senior/Staff Applied Research Scientist to build state-of-the-art human-in-the-loop Machine Learning for customer conversations. This role focuses on data-centric ML systems using the latest AI advancements, particularly in NLG, human-agent cooperation, dialogue, and alignment. The scientist will work closely with product and engineering teams, managing the full ML lifecycle from experiment design to production model deployment. The position offers opportunities for publication projects and collaboration.

Key focus areas include Work closely with product and engineering teams to scope and deliver research agenda, Design experiments and models, and Evaluate models.

Successful candidates bring Degree In Computer Science, 3+ Years AI Experience, and Experience Building Text Models. Important skills include Machine Learning, NLG, Human-Agent Cooperation, Dialogue, Alignment, and Experiment Design. Preferred (not required): Java, Honesty, Transparency, and Diligence.

Skills & qualifications

RequiredNice to have

Skills

Machine LearningNLGHuman-Agent CooperationDialogueAlignmentExperiment DesignModelingEvaluationLanding Models in ProductionBuilding Models on Text DataNLPNLUGenerationOSS ContributionsOpen-Source AI ToolsJavaHonestyTransparencyDiligenceAlways Learning and ImprovingEmpathy

Qualifications

Degree in Computer Science or Closely Related Field3-7 Years of Experience in AI TeamsPublications in Top Conference or JournalTrack Record of High Impact Launches

Full job description

Summary Our mission at Chatdesk is to build state of the art human-in-the-loop Machine Learning for customer conversations. We support leading B2C brands like OLAPLEX, Unilever, SSENSE, and MARS Inc. Our community of 50,000+ conversation agents uses our AI-enabled platform to help our clients reach and support their customers.

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We have raised capital from investors including Cultivation Capital, Susa Ventures, Menlo Ventures, and Harlem Capital. Chatdesk is HQ’d in New York City, and has team members all over the world, but the engineering team is primarily in Europe (Zürich, Munich, Lyon, Poland).

Your impact We are looking for someone that is excited about building real world, data-centric machine learning systems based on the latest advancements in AI research (with a focus on NLG, human-agent cooperation, dialogue, and alignment). This role will report to the CTO (Columbia University, Google Brain). You will work closely with the product and engineering teams to scope and deliver our research agenda. This will include the full ML lifecycle, from experiment design and modeling to evaluation and landing models in production. We are open to 20% publication projects, as well as preserving existing research collaborations if they are on-topic to our research agenda.

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Our values

  • Honesty and transparency
  • Diligence
  • Always learning and improving
  • Empathy Requirements
  • Degree in Computer Science or closely related field
  • 3-7 years of experience working in AI teams in academia or industry
  • Demonstrated experience building models on top of text data (NLP/NLU/Generation).
  • Publications in a top conference or journal and/or a demonstrated track record of high impact launches in a relevant product area.
  • OSS contributions / projects (you enjoy building with open-source AI tools)
  • (Optional, but a plus): Experience with a typed language like Java ‍

Note: Industry research shows that women and those in traditionally underrepresented groups generally don’t apply to jobs unless they check all the boxes for the role. If you feel strongly that you have what it takes for this role but don’t check 100% of the boxes that’s okay — we encourage you to apply anyway and highlight what you can bring to the table.

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Preferred but not required Perks

  • Competitive salary (benchmarked to US market)
  • Stock options
  • Budget for conference participation Apply for this position Thank you! Your submission has been received! Oops! Something went wrong while submitting the form.

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