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.

Tax & Accounting Specialist Editor

Company: Thomson Reuters

Location: New York, NY

Posted Feb 03, 2025

View Details Apply on The Muse

Beauty Sales Consultant, Licensed

Company: CVS Health

Location: Manhattan, NY

Posted Feb 03, 2025

View Details Apply on The Muse

Assistant Nurse Manager - Critical Care Float Pool

Company:

Location: Saratoga Springs, NY

Posted Feb 03, 2025

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Store Manager in Training

Company: CVS Health

Location: New York, NY

Posted Feb 03, 2025

View Details Apply on The Muse

Assistant Nurse Manager - Critical Care Float Pool

Company:

Location: Amsterdam, NY

Posted Feb 03, 2025

View Details Apply on The Muse
world-class training seamless delivery of training managing operational portfolio

Learning Effectiveness Operations Senior Manager, Global Customer Engagement Training (GCET)

Company: Pfizer

Location: New York City, NY

Posted Feb 03, 2025

The Learning Effectiveness Operations Manager role is crucial for the Global Customer Engagement Training (GCET) organization, which aims to provide world-class training for commercial customer-facing colleagues and leaders. The role involves managing operational portfolio, ensuring seamless delivery of training capabilities, and fostering partnerships with various departments. The manager is responsible for translating strategic objectives into operational plans, managing budget, and ensuring compliance with policies and processes. The role requires a BABS degree, at least 6+ years of experience in commercial training operations, and proficiency in Learning Management Systems.

View Details Apply on BuiltIn

Production Operator

Company: Discover

Location: Salt Lake City, UT

Posted Feb 03, 2025

View Details Apply on The Muse

Behavioral Health Clinician (LCSW, LPC, LMFT, LADC) - Adult MH PHP IOP

Company:

Location: New Haven, CT

Posted Feb 03, 2025

View Details Apply on The Muse

Senior Product Manager - AAA / Teams + Identity

Company: Datadog

Location: New York, NY

Posted Feb 03, 2025

View Details Apply on The Muse

Environmental Services Technician

Company: Providence Swedish

Location: Fall City, WA

Posted Feb 03, 2025

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Digital Marketing Strategist, gTech (English, Spanish)

Company: Google

Location: Mexico City, Mexico

Posted Feb 03, 2025

View Details Apply on The Muse

Analyst - Global Trade Finance - GTB, TD Securities

Company: TD Bank

Location: New York, NY

Posted Feb 03, 2025

View Details Apply on The Muse

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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