Machine Learning Engineer (Recsys) - Recruitment Room - Global : Job Details

Machine Learning Engineer (Recsys)

Recruitment Room - Global

Job Location : New York,NY, USA

Posted on : 2025-08-05T01:23:47Z

Job Description :

3 weeks ago Be among the first 25 applicants

Recruitment Room - Global provided pay range

This range is provided by Recruitment Room - Global. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$250,000.00/yr - $300,000.00/yr

We are a team of elite builders, moving fast and redefining whatʼs possible. Weʼre a high-growth software development company and proud contributors to pump, the largest crypto social network globally. We build for the future.We are a pioneering platform that enables anyone to create a coin in under 1 minute for free. Launched in January, the platform has quickly become the home of memecoin creation and trading on Solana, and by extension, the entire crypto space. The platform has generated over $650 million in revenue since March 2024 - attracting significant attention in the crypto community.Job Role

  • surface and suggest coins to users
  • rank comments and replies
  • build a search system
Requirements
  • Must be Proficient in Python / SQL and ML frameworks deployed in GCP or AWS (preferred)
  • strong understanding of ML: NLP, computer vision, transformer models.
  • Experience in leading projects end-to-end and strong communication skills
  • Experience at a strong startup, scale-up.
  • Must be able to work fully office based in NYC (Manhattan)
Preferred
  • Experience in real-time serving of ML models, at scale
  • Experience in crypto.
If you're ready to be a part of a team that is pushing the boundaries of the space, we want to hear from you.Compensation & PackageCompensation & Package
  • Significant upside
  • Competitive salary
  • Negotiable equity opportunities
Interview ProcessRecruiter / HR CallTechnical InterviewFounder / CEO InterviewLocationNew York, United States (Office)Skills: ml,transformer models,crypto,gcp,computer vision,aws,sql,nlp,python,machine learning

Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionEngineering and Information Technology
  • IndustriesBusiness Consulting and Services

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