Machine Learning Engineer (Recsys)
NYC, New York, United States
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
Koscom Cable Inc.
WE PROVIDE THE BEST SERVICE FOR CABLE COMPANIES NATIONWIDEWe 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 & Package
Compensation & Package
- Significant upside
- Competitive salary
- Negotiable equity opportunities
Interview Process
Recruiter / HR Call
Technical Interview
Founder / CEO Interview
Location
New York, United States (Office)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Computer Vision Crypto GCP Machine Learning ML models NLP Python SQL
Perks/benefits: Competitive pay Equity / stock options Startup environment
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.