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.

Early Head Start Teacher Floater - Part-Time

Company: EPISCOPAL COMMUNITY SERVICES (ECS)

Location: National City, CA

Posted Apr 10, 2025

Verification of current driver’s license and insurance required for personal car usage. Responsive care giving: Respond quickly in a soothing and tender manner…

Treasury Manager

Company: ADAPT Community Network

Location: New York, NY

Posted Apr 07, 2025

Maintains batch control logs for cash deposits through assignment of batch sequences and G/L account offsets to cash. Bachelor’s degree in accounting required.

SPED Science Teacher

Company: Innovation Charter High School

Location: New York, NY

Posted Apr 11, 2025

They accomplish this by employing intellectual engagement strategies and backward planning methodologies to create multiple entry points in their curriculum…

Registered Nurse

Company: Urban Pathways, Inc.

Location: New York, NY

Posted Apr 10, 2025

Valid driver’s license with clean driving a plus. Registered Nurse (RN) with a valid and current New York State RN license. Clinical Rapid Response & Triage:

CDL Class C Driver

Company: DPR Construction

Location: Redwood City, CA

Posted Apr 11, 2025

Qualified driving and towing skills. Prolonged periods sitting in a vehicle/truck and operating the vehicle/truck safely. Maintain a safe work environment.

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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