Machine Learning Jobs in New York City, NY

416,898 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.

Physician - Vascular Surgeon - Crystal Run Healthcare - Optum NY

Company: UnitedHealth Group

Location: Middletown, NY

Posted Jan 25, 2025

View Details Apply on The Muse

Customer Service Associate

Company: Walgreens

Location: Manhasset, NY

Posted Jan 25, 2025

View Details Apply on The Muse
global leader in Identity Security create and maintain policies and processes manage day-to-day activities of PMO office

Project Management Office (PMO) Manager

Company: CyberArk

Location: Salt Lake City, UT

Posted Jan 25, 2025

CyberArk, a global leader in Identity Security, is seeking a PMO Manager to lead its Project Management Office. The role involves collaborating with stakeholders, managing day-to-day activities, mentoring scrum masters, and guiding the PMO team. The ideal candidate should have strong communication skills, be an SME in SAFe methodology and SDLC, and have a proven track record in managing complex projects and cross-functional teams.

View Details Apply on BuiltIn

Sales Lead

Company: Teampay

Location: New York, NY

Posted Jan 25, 2025

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Pharmacy Operations Manager

Company: Walgreens

Location: Deer Park, NY

Posted Jan 25, 2025

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Store Manager

Company: Walgreens

Location: Kansas City, MO

Posted Jan 25, 2025

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ACADEMIC BREAST PATHOLOGIST- Department of Pathology, Memorial Sloan Kettering Cancer Center

Company: Memorial Sloan Kettering Cancer Center

Location: New York, NY

Posted Jan 25, 2025

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Pharmacy Customer Service Associate

Company: Walgreens

Location: Auburn, NY

Posted Jan 25, 2025

View Details Apply on The Muse

Pharmacy Customer Service Associate

Company: Walgreens

Location: New Orleans, LA

Posted Jan 25, 2025

View Details Apply on The Muse

Pharmacist (Full or Part Time)

Company: Walgreens

Location: Buffalo, NY

Posted Jan 25, 2025

View Details Apply on The Muse

Social Work Technician - Southern Region - Continuous Posting

Company: The Commonwealth of Massachusetts

Location: New Bedford, MA

Posted Jan 25, 2025

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Pharmacy Manager

Company: Walgreens

Location: New York, NY

Posted Jan 25, 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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