Innovative Technology Jobs in New York City, NY

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

CDL-A Team Truck Driver

Company: USA Truck

Location: New York, NY

Posted Jul 07, 2025

Established CDL-A truck driving teams have top earning power with high miles! USA Truck, a Certified Top Pay Carrier, offers enhanced benefits and high earning…

Sr Accountant

Company: PayPal

Location: New York, NY

Posted Jul 08, 2025

We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account…

Housekeeper Weekend

Company: The Pavilion at Queens for Rehabilitation & Nursing

Location: Queens, NY

Posted Jul 06, 2025

Clean resident rooms for incoming admissions. Follow instructions by the Director of Housekeeping, to ensure that the facility is maintained with the upmost…

Administrative Workforce Reporting Analyst, OCCCS

Company: New York City Department of Education

Location: Brooklyn, NY

Posted Jul 07, 2025

A four- year high school diploma or its educational equivalent and four years of satisfactory full-time experience in an industrial or governmental agency in…

Project Manager - L I

Company: NYC Health + Hospitals

Location: New York, NY

Posted Jul 07, 2025

Consults with departmental leadership and other key stakeholders to develop implementation schedules and provides support to the development and implementation…

Retail Sales Representative - Peekskill

Company: Daisy Brand

Location: New York State

Posted Jul 07, 2025

Valid driver’s license and clean driving record. Monthly car allowance of $800, plus payment of business related fuel expenses. Ability to lift 20 lbs.

AI Engineer, Point72 Ventures

Company: Point72

Location: York, WA

Posted Jul 07, 2025

Blending AI with practical engineering - Create LLM-powered agents that seek to solve real business problems while building foundational data infrastructure.

Frequently Asked Questions

What are typical salary ranges for Innovative Technology roles by seniority?
Entry‑level AI/ML Engineers earn $80,000–$110,000 annually. Mid‑level specialists ($110k–$150k) add responsibilities in model optimization and deployment. Senior engineers ($150k–$200k) lead cross‑functional projects and mentor juniors. Lead or Principal roles ($200k–$250k+) include strategic product ownership, research direction, and equity compensation.
Which skills and certifications are most sought after in Innovative Technology?
Core programming in Python, PyTorch, or TensorFlow; cloud expertise (AWS Certified Machine Learning, Azure AI Engineer Associate); edge‑AI frameworks (EdgeX Foundry, TensorRT); IoT protocols (MQTT, CoAP); security certifications (CompTIA Security+, CISSP); and quantum‑specific credentials such as IBM Quantum Developer or Qiskit certification. Proficiency in containerization (Docker, Kubernetes) and CI/CD pipelines is also essential.
How common is remote work for Innovative Technology positions?
Over 70% of listings allow fully remote or hybrid arrangements. Companies prioritize distributed teams to tap global talent pools, especially for AI research, quantum software, and IoT architecture. Remote roles often require strong asynchronous communication skills and adherence to strict security standards.
What career progression paths exist within Innovative Technology?
Typical trajectories start at Junior Engineer → Software Engineer → Senior Engineer → Lead Engineer → Principal Engineer or Research Scientist. Parallel paths include Product Manager for AI solutions, Technical Program Manager for cross‑domain projects, or Enterprise Solutions Architect focusing on edge‑AI deployments. Advancement is driven by demonstrable impact on model performance, system scalability, or security architecture.
What industry trends are shaping the Innovative Technology job market?
Key trends include AI governance and explainability frameworks; edge‑AI scaling for real‑time analytics; quantum‑resistant cryptography adoption; IoT security standards (e.g., NIST IoT Cybersecurity Framework); and the convergence of 5G with low‑latency edge computing. Companies are investing in hybrid cloud‑edge infrastructures and building AI‑enhanced supply‑chain visibility platforms.

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