Machine Learning Jobs in New York City, NY

416,650 open positions · Updated daily

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.

Maintenance Machinist

Company: Fisher Space Pen Co.

Location: Boulder City, NV

Posted May 08, 2025

High school diploma or equivalent; technical certification is an advantage. Must have own personal tools. Previous experience in manufacturing or a related…

High School English Teacher (SY-25-26)

Company: The American Dream Charter School

Location: Bronx, NY

Posted May 08, 2025

The mission of the American Dream School is to develop academic excellence in both Spanish and English, preparing students to excel in college and become…

RippleX Partner Director

Company: Ripple

Location: New York, NY

Posted May 06, 2025

Lead execution across technical and GTM workstreams, anticipating risks and aligning cross-functional resources to ensure successful outcomes.

[Immediate Hire] K-8 English Language Learner Teacher

Company: DREAM

Location: New York, NY

Posted May 05, 2025

Assist in administering required language proficiency and academic achievement tests for determining placement, ongoing monitoring of student progress and…

Rheumatology Physician

Company: Optum

Location: Brewster, New York

Posted May 05, 2025

Manager, Government Affairs

Company: Macquarie Group Limited

Location: New York, NY

Posted May 09, 2025

Strong understanding of United States and Americas-wide government institutions at the federal, state, and local levels.

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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