AI Engineer / Intern (Zurich, NYC)

Chatdesk, Inc.; New York (NY); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Stock options

Job summary

Chatdesk, Inc. is seeking an AI Engineer or Intern to contribute to state-of-the-art human-in-the-loop ML for customer conversations. The role supports interns or FTEs, with the engineering team primarily in Europe while HQ is in New York City.

We work with major brands and offer competitive compensation and stock options for FTEs, inviting applicants who can demonstrate hands-on projects using LLMs but encouraging those who meet most criteria to apply.

Qualifications

• FTE requires 3–5 years of SWE/ML Eng/Research Eng experience.
• Intern requires degree track in AI/Robotics/CS.
• Both require demonstrated experience building non-trivial projects on top of LLMs/LMMs; knowledge of LLMOps stacks is helpful.

Skills

SWE

ML Engineer

Research Engineer

LLMs project work

LLMOps

Education

AI/Robotics/CS track

Job description

AI Engineer / Intern (Zurich, NYC)

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).

Requirements

(For FTE):3-5 years of experience as a SWE / MLEngineer / Research Engineer

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

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.

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.

Perks

• Competitive salary (benchmarked to US market)
• Stock options (for FTEs)