Cutting-Edge Technology Jobs in New York City, NY

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

Lead Data Governance Analyst

Company: Disney Entertainment and ESPN Product & Technology

Location: New York, NY

Posted Jul 02, 2025

Masters Degree in a related field, and/or related certification/s. Lead Business and Functional Data Working Groups to assess and document current-state…

IT DATA ANALYST

Company: Ariel Partners

Location: Brooklyn, NY

Posted Jul 01, 2025

Process Improvement: Assist in developing and implementing strategies for improving data analysis processes. Data Analysis & Reporting: Generate comprehensive…

Data Science Analyst III - Mount Sinai Health Partners

Company: Mount Sinai

Location: New York, NY

Posted Jul 02, 2025

Provides a high degree of technical support to data analytics functions as they relate to varied business units, and technical expertise on the selection,…

Field Project Manager

Company: Mason Technologies

Location: New York, NY

Posted Jul 01, 2025

You will be out in the field on various projects in the tri-state area overseeing progress. Former field technician experience of at least 5+ years required.

2026 Corporate Analyst Development Program - Summer Analyst (New York Metro)

Company: JPMorganChase

Location: New York, NY

Posted Jul 02, 2025

Students interested in front office, external customer/client interactions, or software engineering will not have their needs met within this program.

Applied Researcher II

Company: Capital One

Location: New York, NY

Posted Jul 01, 2025

Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.

Applied Researcher II

Company: Capital One

Location: New York, NY

Posted Jul 01, 2025

Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.

Applied Researcher II

Company: Capital One

Location: New York, NY

Posted Jul 01, 2025

Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.

Frequently Asked Questions

What are typical salary ranges by seniority for Cutting‑Edge Technology roles?
Entry‑level AI/ML engineers earn $90k–$120k, mid‑level $120k–$160k, senior $160k–$210k, and principal/lead roles $210k–$280k. Quantum developers follow a similar scale but start at $110k–$140k, mid at $140k–$190k, and senior at $190k–$250k, often with a 10%–15% equity component.
Which skills and certifications are most demanded in this category?
Core languages: Python, C++, Rust, and Q# for quantum. Frameworks: TensorFlow, PyTorch, JAX, and Qiskit. Cloud expertise: AWS SageMaker, Azure AI, and GCP Vertex. Certifications: TensorFlow Developer, AWS Certified Machine Learning – Specialty, IBM Quantum Developer, and Certified Blockchain Developer (CBDE). Hands‑on projects on Kaggle, Hackathon participation, and published research elevate a candidate’s profile.
Is remote work common for Cutting‑Edge Technology positions?
Yes. Over 70% of listed roles offer full‑remote or hybrid options. Companies provide cloud‑based development environments, virtual lab access for quantum simulators, and remote‑first collaboration tools (e.g., GitHub Codespaces, JupyterHub, and Discord/Slack). Support for home‑office budgets and flexible schedules is standard.
What career progression paths exist in this field?
Technical tracks: Junior → Mid → Senior → Principal → Staff Engineer. Managerial tracks: Team Lead → Engineering Manager → Director of Engineering → VP of Technology. Lateral moves to product, data science, or research labs are common. Clear performance metrics, mentorship programs, and promotion criteria are published on job listings.
What industry trends should candidates monitor in Cutting‑Edge Technology?
Quantum advantage is moving from simulation to real‑world problem solving, demanding expertise in error correction and hardware‑software co‑design. Edge AI is expanding into autonomous drones and IoT, requiring low‑power inference and on‑device learning. AI democratization tools (AutoML, LLM fine‑tuning) lower barriers but increase demand for model governance. 5G and edge computing convergence fuels new network‑edge AI services.

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