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AI Engineer / Intern (Zurich, NYC)

Chatdesk

New York, NYFull-timePosted 2y agoStill listed 3 days ago

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At a glance

Compensation
No compensation found
Location
New York, NY
Role Type
Internship
Schedule
Full-time
Work Authorization
Not specified

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Job overview

Chatdesk is hiring an AI Engineer / Intern (Zurich, NYC). Chatdesk is seeking an AI Engineer or Intern to build state-of-the-art human-in-the-loop Machine Learning for customer conversations. The company supports leading B2C brands and has raised capital from various investors. The engineering team is primarily based in Europe, with headquarters in New York City.

Successful candidates bring 3-5 Years SWE Experience and Experience Building LLM Projects. Important skills include Building Non-Trivial Projects On LLMs/LMMs. Preferred (not required): Awareness Of LLMOps Stacks.

Skills & qualifications

RequiredNice to have

Skills

Building Non-Trivial Projects on LLMs/LMMsAwareness of LLMOps Stacks

Qualifications

3-5 Years SWE Experience3-5 Years ML Engineer ExperienceDegree Track in AIDegree Track in RoboticsDegree Track in CSDegree Track in Similar Field

Full job description

Summary This blog post maps closely to what we're looking for.

We are open to interns or FTEs for this role.

Your impact 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.

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, Poland).

Our values Requirements (For FTE): 3-5 years of experience as a SWE / ML Engineer / Research Engineer

(For Intern): Degree track in AI / Robotics / CS / Similar

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For both: demonstrated experience building non-trivial projects on top of LLMs/LMMs. Since this is a fast moving ecosystem, awareness of different LLMOps stacks is helpful.

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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.

Preferred but not required Perks

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

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