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.

Senior Manager, Software Engineering, Full Stack, Bank Tech

Company: Capital One

Location: New York, NY

Posted May 02, 2025

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

BOH Sous Chef

Company: Gurumé Restaurant

Location: New York, NY

Posted Apr 30, 2025

Some of the things that you will be doing are garnishing dishes, expediting at the food pass, firing orders at a reasonable pace, food preparation via recipe,…

AI/ML Cloud Engineer (RapidScale)

Company: Cox Communications

Location: New York, NY

Posted May 02, 2025

Implement and manage robust monitoring systems for AI solutions in production environments, ensuring continuous performance tracking, anomaly detection, and…

High School History Teacher (SY 25-26)

Company: The American Dream Charter School

Location: Bronx, NY

Posted Apr 29, 2025

Bachelor’s degree in History or related field, Master's preferred. Utilize formal and informal assessment data to drive instruction and ensure student mastery…

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.

Related Pages