Cutting-Edge Technologies Jobs in New York City, NY

406,579 open positions · Updated daily

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

Director, Account Management - Insurance

Company: EPAM Systems

Location: Jersey City, NJ

Posted Jan 22, 2025

EPAM is seeking a Director of Account Management with extensive experience in strategic planning and execution, particularly in the Data, Cloud, and Digital sectors, with a focus on the Insurance industry. The role involves developing new business relationships, fostering growth opportunities, and leading cross-functional global teams. The ideal candidate should have a minimum of 10 years of business leadership experience, strong communication skills, and a strategic vision for business development. EPAM offers a comprehensive benefits package and a dynamic, inclusive culture.

(USA) Operations Manager - Floor (Fashion, Import, Jewelry, Regional, Returns, Sam's, Wm.Com, HMSC)

Company: Walmart

Location: Salt Lake City, UT

Posted Jan 22, 2025

The job involves communicating with various stakeholders, driving business plans to meet facility goals, forecasting staffing and performance results, preparing business reports, ensuring compliance with standards, resolving concerns, supervising associates, and leading by example. Key expectations include respect for individuals, integrity, customer service, striving for excellence, and a commitment to Walmart's values and goals.

Applied AI ML Senior Associate

Company: JPMorgan Chase

Location: Jersey City, NJ

Posted Jan 22, 2025

The job posting is for an AI/ML Sr Associate in Card Risk Modeling. The role involves leveraging advanced technology to reimagine fraud detection and generative models. The successful candidate will design and develop machine learning models, work with senior management to create innovative solutions, and collaborate with various partners. Required qualifications include a Ph.D. or Master's degree in a quantitative field, experience in designing and deploying ML models, proficiency in coding and big data technologies. Preferred skills include experience in the credit card industry, distributed Spark computation, GPU experience, and model interpretation.

Data Integration Manager

Company: Riskified

Location: New York, NY

Posted Jan 22, 2025

Staff Software Development Engineer (Requiring AI and Python)

Company: CVS Health

Location: New York, NY

Posted Jan 22, 2025

CVS Health is seeking a Staff Data Engineer with extensive experience in big data, cloud architecture, and real-time streaming technology. The role involves working with vast healthcare data, building modern data pipelines, and contributing to the company's mission of delivering industry-best data products. The ideal candidate should have 7+ years of experience with SQL, NoSQL, Python, and ETL/ELT, along with a Master's Degree in a relevant field. The company offers competitive compensation, benefits, and a supportive work environment.

Associate Delivery Manager

Company: EPAM Systems

Location: Mexico City, Mexico

Posted Jan 22, 2025

Risk Management - Forecasting Model Review - Vice President

Company: JPMorgan Chase

Location: Jersey City, NJ

Posted Jan 22, 2025

JPMorgan Chase is seeking a Risk Management - Forecasting Model Review Vice President. The role involves being at the center of keeping the firm strong and resilient, anticipating new risks, and using expert judgement to solve real-world challenges. The individual will be involved in model validation and governance activities, interacting with top talent in the firm. Key responsibilities include setting model development standards, evaluating adherence to these standards, identifying weaknesses and emerging risks, and communicating risk assessments. Required qualifications include a Ph.D. or Master's in a quantitative field, 3+ years of experience in a quantitative or modeling role, strong communication skills, experience with large data sets, proficiency in Python or R, and a risk and control mindset.

Frequently Asked Questions

What are the typical salary ranges for Cutting‑Edge Technologies roles at different seniority levels?
Entry‑level AI/ML engineers earn $90k–$120k, mid‑level $120k–$160k, senior $160k–$210k, lead $210k–$260k, and director or VP roles can exceed $260k, especially in quantum research or high‑frequency trading firms. Quantum developers often command $140k–$190k at entry level, scaling to $250k+ for senior architects. Edge AI specialists see similar brackets, with high‑performance computing roles reaching $220k+.
What skills and certifications are typically required in Cutting‑Edge Technologies?
Core programming in Python, C++, and Rust; machine‑learning libraries like TensorFlow, PyTorch, and JAX; quantum toolkits such as Qiskit, Cirq, or Rigetti Forest; edge frameworks like EdgeX Foundry, NVIDIA DeepStream, and TensorRT; and blockchain platforms including Hyperledger Fabric, Ethereum, and Cosmos SDK. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, IBM Quantum Developer, and Certified Blockchain Architect are highly valued.
Is remote work available for Cutting‑Edge Technologies positions?
Yes. Nearly 70% of AI and quantum roles offer full‑remote or hybrid options, especially at SaaS vendors, fintech startups, and research labs. Edge and blockchain positions often require on‑site presence for hardware maintenance, but many companies now provide remote‑first environments with virtual lab access.
What are the career progression paths in Cutting‑Edge Technologies?
Typical paths start with Junior Engineer → Engineer → Senior Engineer → Lead Engineer → Principal Engineer or Technical Fellow. For quantum and blockchain, an engineer can advance to Quantum Architect or Blockchain Lead, then to Director of R&D or Chief Technology Officer. Continuous learning through advanced degrees, specialized certifications, and contributions to open‑source projects accelerates promotion.
What industry trends are shaping the future of Cutting‑Edge Technologies?
AI is moving toward federated learning and explainable AI, increasing demand for privacy‑preserving models. Quantum computing is transitioning from academic prototypes to commercial QPU services, boosting roles in error‑correction and algorithm design. Edge AI is expanding with 5G and IoT, driving real‑time inference on low‑power devices. Blockchain is shifting from payment networks to interoperable smart‑contract ecosystems and decentralized identity solutions.

Related Pages