Backend Software Engineer
Job in
New York City, Richmond County, New York, 10261, USA
Listed on 2025-12-01
Listing for:
Verneek
Full Time
position Listed on 2025-12-01
Job specializations:
-
Software Development
AI Engineer, Software Engineer, Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
Overview
Be part of the core team building AI-native helpful experiences across the consumer space are a deep‑tech AI startup building the most helpful AI that augments knowledge anywhere, anytime, with deep domain expertise. We move fast in an early-stage environment and value learning, innovation, and meaningful impact.
We are looking for stellar and highly ambitious engineers to help build complex AI/NLP models that support the Verneek AI platform. You will work on fundamental AI research problems grounded on our proprietary platform, with an emphasis on impactful, real-world applications.
Responsibilities- Implement, scale, and maintain complex AI/NLP models supporting the Verneek AI platform
- BSc. degree in Computer Science or related fields
- 3+ years of experience with Python
- 2+ years of experience with Go, Rust, or Scala
- 2+ years hands-on experience developing architectures with machine learning frameworks such as Py Torch
- Demonstrated AI/NLP engineering skillset through deploying large-scale AI/NLP systems to production
- Work authorization in the USA at the time of hire
- Continuing work authorization during employment can be sponsored by Verneek
- MSc. degree in Computer Science or related fields
- Experience in architecting software systems
- Experience with Natural Language Understanding, Dialogue Systems, Semantic Parsing, Transfer Learning and learning with limited data
- Experience building models in the commerce/retail domain
- Working knowledge of Scala
- Stellar medical, dental, vision, disability, and life insurance
- Daily private Chef lunch, curated to personal diets
- Transportation benefits
- 401K matching contributions
- Flexible PTO
- Visa/Green Card sponsorship
- Career growth support through sponsoring learning opportunities and mentorship
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