Learn More About This Jobs in New York City, NY

1,714,726 open positions · Updated daily

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

2nd Grade General Education Teacher

Company: Global Community Charter School

Location: New York, NY

Posted Sep 08, 2025

Evaluate academic achievement and progress towards learning objectives through detailed data analysis of student performance on a wide variety of metrics;…

Senior Manager, Software Engineering, Full Stack

Company: Capital One

Location: New York, NY

Posted Sep 08, 2025

Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding…

Senior Software Engineer

Company: Capital One

Location: New York, NY

Posted Sep 08, 2025

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.

Tax Auditor - Manhattan, NY

Company: Franchise Tax Board State of California Sacramento

Location: New York, NY

Posted Sep 08, 2025

We also offer CPA certification using general qualifying experience in accordance with the New York State Board of Accountancy rules and regulations.

Tax Technology and Transformation (Law Solutions) Legal and Contract Management Technology - Manager

Company: EY

Location: New York, NY

Posted Sep 07, 2025

Approved technical certification, CPA license or membership to state Bar or progress to attaining those mentioned. Tax and Legal function assessments.

Senior Designer

Company: Sollis Health

Location: New York, NY

Posted Sep 08, 2025

Leverage emerging design tools (including AI) to prototype faster, visualize concepts, and push creative experimentation. Unlimited PTO and Generous Sick Time.

Lead AI Engineer (AI Foundations, Python)

Company: Capital One

Location: New York, NY

Posted Sep 08, 2025

Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency,…

Lead AI Engineer (GenAI Platform Services, Python)

Company: Capital One

Location: New York, NY

Posted Sep 08, 2025

Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency,…

Frequently Asked Questions

What are the typical salary ranges for Learn More About This roles at different seniority levels?
Entry‑level positions start around $90,000–$120,000. Mid‑level roles range $120,000–$160,000. Senior experts earn $160,000–$220,000, while Lead or Principal positions can reach $220,000–$300,000.
Which technical skills and certifications are most valued for Learn More About This positions?
Proficiency in Python, TensorFlow, PyTorch, and Hugging Face Transformers is essential. Cloud AI expertise with AWS SageMaker, GCP Vertex AI, or Azure Machine Learning is highly sought. Certifications such as AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, and Microsoft Certified: Azure AI Engineer Associate give a competitive edge.
Can I work remotely in Learn More About This roles?
Yes—over 70% of listings offer fully remote or hybrid arrangements, especially for research and engineering positions. Many employers provide flexible schedules and advanced collaboration tools to support distributed teams.
What career progression paths exist for Learn More About This professionals?
Typical trajectories move from Junior ML Engineer → Senior ML Engineer → Lead Data Scientist → Principal AI Researcher → VP of AI. Each step involves deeper research responsibilities, larger project ownership, and strategic influence over product direction.
What are the current industry trends shaping Learn More About This?
Key trends include reinforcement learning for autonomous decision systems, large‑language‑model scaling, edge AI deployment, federated learning for privacy, and a growing focus on AI ethics and explainability. Companies are investing heavily in LLM‑based APIs and real‑time inference on edge devices.

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