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.

Cafe Associate

Company: Walmart

Location: Watertown, NY

Posted Jan 24, 2025

Material Handler

Company: CVS Health

Location: Kansas City, MO

Posted Jan 24, 2025

Risk & Compliance Manager

Company: Accenture

Location: New York, NY

Posted Jan 24, 2025

Principal Data Scientist

Company: Bluecore

Location: New York, NY

Posted Jan 24, 2025

Bluecore, a marketing technology company, is seeking a Principal Data Scientist with a strong mathematical background. The ideal candidate should have extensive experience in researching, building, serving, and maintaining data science models at scale. They should be able to work with the Product Team, translate product requirements into objectives, and design thoughtful experiments. The company is recognized for doubling email revenue and increasing customer retention for over 400 brands. Bluecore emphasizes applied research, exploring fields like topic modeling and neural networks. The role involves identifying appropriate models, experimentation, documentation, model deployment, and mentoring junior team members. Benefits include a competitive compensation package, comprehensive insurance, 401(k), and a flexible work environment.

Produce Associate

Company: Walmart

Location: Oklahoma City, OK

Posted Jan 24, 2025

Senior Solutions Engineer

Company: Beeswax

Location: New York, NY

Posted Jan 24, 2025

Software Engineer, Systems ML - Frameworks / Compilers / Kernels

Company: Meta

Location: New York, NY

Posted Jan 24, 2025

Meta is seeking a Software Engineer, Systems ML to join the MTIA (Meta Training & Inference Accelerator) Software team. The role involves working on core areas such as PyTorch framework components, AI compiler and runtime, high-performance kernels, and tooling for accelerating machine learning workloads on MTIA AI hardware platforms. The engineer will collaborate with AI researchers and hardware design teams to analyze, lower, and optimize deep learning models for MTIA hardware. They will also contribute to the development of the PyTorch AI framework core compilers, focusing on performance optimization for new AI hardware accelerators. The ideal candidate should have proven C/C++ programming skills, experience in AI framework development, and knowledge of GPU, CPU, or AI hardware accelerator architectures.

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