Machine Learning Jobs in New York City, NY

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

Senior Software Development Engineer - Rails ART19 - Shaping the Future of Podcast Technology

Company: Amazon.com Services LLC

Location: Culver City, CA

Posted May 14, 2025

5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience.

Director, Data Science Platform | Data Science Platform

Company: Rockefeller University

Location: New York, NY

Posted May 16, 2025

Ph.D. or equivalent degree in data science, machine learning, artificial intelligence, computer science, electrical engineering, statistics or a related field.

Lead Software Engineer, DevOps

Company: Capital One

Location: New York, NY

Posted May 15, 2025

Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible…

Machinist

Company: DEPT OF ENVIRONMENT PROTECTION

Location: New York, NY

Posted May 15, 2025

As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs.

Gen AI Engineer - Marquee - Associate - NYC - GBM Public

Company: Goldman Sachs

Location: New York, NY

Posted May 15, 2025

Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber…

Machinist's Helper

Company: DEPT OF ENVIRONMENT PROTECTION

Location: New York, NY

Posted May 15, 2025

In addition to field work, the Machinist’s Helpers will assist machinists in the machine shop to make parts needed for Infrastructure repairs.

Frequently Asked Questions

What are typical salary ranges for ML roles at different seniority levels?
Junior ML Engineers earn $90k–$120k annually, mid‑level engineers $120k–$160k, senior engineers $160k–$220k, and lead or principal ML roles can reach $220k–$300k+. In large tech firms, the upper end can exceed $350k when including equity, while early‑stage startups may offer lower base but higher stock options.
What skills and certifications are required for ML positions?
Core expertise includes Python, Jupyter, TensorFlow, PyTorch, scikit‑learn, and SQL. MLOps proficiency with Docker, Kubernetes, and cloud services (AWS SageMaker, GCP AI Platform, Azure ML) is essential for production roles. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, and Google Cloud Professional Machine Learning Engineer can validate knowledge and accelerate hiring.
Are ML jobs available for remote work?
Yes, many ML positions are fully remote or hybrid. Companies like Scale AI, Databricks, and Cohere offer remote‑first policies. Remote work requires high‑speed internet, secure VPN access, and collaboration via tools like JupyterHub, Slack, and Asana, but it also expands the geographic talent pool.
What career progression paths exist in ML?
Typical paths start as ML Engineer or Data Scientist, advance to Senior ML Engineer, Lead Data Scientist, or Research Scientist, then transition into managerial roles such as ML Manager, Director of AI, or VP of Data & AI. Progression hinges on building a strong portfolio, publishing research, mentoring junior teammates, and mastering cross‑functional skills like product strategy and ethics.
What are current industry trends shaping ML careers?
Edge AI and federated learning are driving demand for on‑device models; AutoML platforms reduce time to deployment; responsible AI frameworks (e.g., IBM AI Fairness 360) shape compliance roles; reinforcement learning is expanding into robotics; and interpretability tools like SHAP and LIME are becoming standard in regulated sectors such as finance and healthcare.

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