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.

Staff Nurse(PH)-Mother/Baby

Company: NYC Health + Hospitals

Location: New York, NY

Posted Mar 07, 2025

A valid New York State license and current registration to practice as a Registered Professional Nurse in New York State; and.

Director, Software Engineering (Bank Modernization)

Company: Capital One

Location: New York, NY

Posted Mar 13, 2025

Work within and across Agile teams to design, develop, test, implement, and support technical solutions across mobile and web full-stack development tools and…

Electrician

Company: Ascend Public Charter Schools

Location: Brooklyn, NY

Posted Mar 12, 2025

Read and interpret blueprints, schematics, and technical drawings to plan electrical installations. Collaborate with other tradespeople and contractors on…

AI/ML Developer - AI Trainer

Company: DataAnnotation

Location: New York, NY

Posted Mar 03, 2025

A bachelor’s degree (completed or in progress). Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python…

High School Math Teacher

Company: Williamsburg Charter High School

Location: Brooklyn, NY

Posted Mar 06, 2025

Design opportunities for students to use the world around them as a classroom through field trips and or/inviting guests into the classroom as appropriate.

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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