Ai-Enhanced Technology Jobs in New York City, NY

759,351 open positions · Updated daily

Looking for Ai-Enhanced Technology jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Ai-Enhanced Technology position in the New York City, NY area.

Staff Software Engineer, Franchise Suite

Company: Square

Location: New York City, NY

Posted Jan 25, 2025

Square, a global technology company focusing on financial services, is seeking a Staff Software Engineer to join its Franchise Suite organization. The role involves identifying technical end states, driving impact through leadership, refactoring systems, and partnering with various teams. The ideal candidate should have 8+ years of experience in building and operating quality software, with a strong background in NodeJS, NestJS, Typescript, Java, React, and MongoDB. Square is committed to building an inclusive economy and workplace, offering competitive pay and benefits.

Machine Learning Engineer

Company: Hinge

Location: New York City, NY

Posted Jan 25, 2025

Hinge, a dating app, is seeking ML practitioners to build an AI-first dating experience. The role involves working on recommendation systems, end-to-end experimentation with LLMs, and building real-time predictive models. The ideal candidate should have strong programming skills, system design and architecture experience, cloud platform proficiency, ML knowledge, DevOps skills, data engineering knowledge, collaboration and communication skills, and software leadership skills. Hinge offers benefits such as 401k matching, professional growth stipend, parental leave, fertility support, date stipend, and access to ERGs.

Senior Machine Learning Platform Engineer

Company: Hinge

Location: New York City, NY

Posted Jan 25, 2025

Hinge, a dating app, is seeking an experienced ML backend engineer to join its AI Platform Core team. The role involves designing and contributing to a budding ML platform, accelerating the development, deployment, and operations of AI-enabled features. The ideal candidate should have 3+ years of experience in ML backend, data, or platform engineering, proficiency in Python, Go, or Java, and a degree in computer science or a related field. The role offers opportunities for professional growth, parental leave, fertility support, a date stipend, and free access to Udemy. Hinge values authenticity, courage, empathy, and diversity.

Frequently Asked Questions

What are typical salary ranges by seniority for AI-Enhanced Technology roles?
Entry‑level ML Engineer or Data Scientist: $90k–$110k. Mid‑level: $120k–$150k. Senior/Lead: $160k–$200k. Staff/Principal: $210k–$260k. Director/VP: $250k–$350k (base + bonus + equity). These ranges reflect U.S. market averages for cloud‑native AI positions.
Which skills and certifications are most valuable in AI-Enhanced Technology?
Core skills: Python, PyTorch/TensorFlow, Kubernetes, Docker, CI/CD, Airflow, MLflow, SageMaker, Vertex AI, Azure ML, MLOps, reinforcement learning, generative models, NLP, CV, data engineering, SQL, Spark. Certifications: AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate, Certified Data Scientist (CDS), DeepLearning.AI TensorFlow Practitioner.
Is remote work common for AI-Enhanced Technology positions?
Yes. Many AI‑Enhanced Tech companies adopt remote‑first or hybrid models. Companies such as OpenAI, DeepMind, UiPath, NVIDIA, and Cloudflare offer fully remote roles; others provide 3‑4 days per week remote availability, while hardware‑lab positions may require occasional on‑site presence.
What career progression paths exist in AI-Enhanced Technology?
Typical trajectory: Junior Data Scientist → ML Engineer → MLOps Engineer → Lead ML Engineer → AI Solutions Architect → AI Product Manager → Director of AI → VP of AI. Each step adds responsibilities from model training to infrastructure management, product strategy, and executive leadership.
What are the current industry trends shaping AI-Enhanced Technology?
Key trends include generative AI and multimodal models, reinforcement learning for robotics, edge AI for IoT and autonomous vehicles, responsible AI and fairness regulation, AI‑Ops for continuous monitoring, AI‑as‑a‑Service platforms, and domain‑specific AI in healthcare diagnostics, finance fraud detection, and cybersecurity threat intelligence.

Related Pages