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.

Specialty Sales (Style, Tech, Beauty) (T2061)

Company: Target

Location: Oklahoma City, OK

Posted Jan 24, 2025

Target, a Fortune 50 company, is seeking a Style Consultant. The role involves providing excellent guest service, maintaining a welcoming environment, and ensuring product availability. Key responsibilities include creating a guest-ready shopping experience, staying current with trends, and executing visual merchandising. The ideal candidate should have a strong interest in apparel, excellent communication skills, and the ability to work in a fast-paced environment. Target offers training and competitive benefits.

Guest Advocate (Cashier or Front of Store Attendant/Cart Attendant) (T1015)

Company: Target

Location: New Bern, NC

Posted Jan 24, 2025

Target, a Fortune 50 company, is seeking a Guest Advocate. The role involves providing exceptional guest service, solving guest concerns, and promoting Target's services and benefits. Key responsibilities include greeting guests, understanding their needs, assisting with returns, and maintaining a clean work area. The ideal candidate is energetic, communicative, and comfortable with multi-tasking in a fast-paced environment. No two days are the same, offering variety and continuous learning opportunities.

GM and Food (General Merchandise, Closing, Fulfillment, Inbound, Food and Beverage , Starbucks) (T1475)

Company: Target

Location: Syracuse, NY

Posted Jan 24, 2025

Target is seeking a General Merchandise Expert for a dynamic role involving guest service, product management, and operational efficiency. The role requires a welcoming attitude, strong communication skills, and the ability to work in a fast-paced environment. Key responsibilities include creating a guest-focused experience, managing inventory, executing pricing and presentation processes, and ensuring a safe, compliant work environment. Target offers comprehensive training and competitive benefits.

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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