Machine Learning Jobs in New York City, NY

416,819 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.

MiLB Live Content Creator (Seasonal)

Company: MLB

Location: New York, NY

Posted Jan 25, 2025

View Details Apply on The Muse

Associate General Counsel - Security Legal, Central

Company: Meta

Location: New York, NY

Posted Jan 25, 2025

View Details Apply on The Muse

SAP Consultant PP

Company: Kyndryl

Location: Mexico City, Mexico / Remote

Posted Jan 25, 2025

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Industry Marketing Lead, Artificial Intelligence

Company: Meta

Location: New York, NY

Posted Jan 25, 2025

View Details Apply on The Muse

Property Adjuster - Field Estimating - Albany, NY

Company: Allstate

Location: New York, NY

Posted Jan 25, 2025

View Details Apply on The Muse
popular global learning platform 13 years of experience in digital advertising Figma experience preferred

Sales Enablement Manager

Company: Quizlet

Location: New York City, NY

Posted Jan 25, 2025

Quizlet, a globally recognized learning platform, is seeking a digital ad sales professional with 13 years of experience. The role involves partnering with the sales team, creating RFP response decks, and developing media plans. The ideal candidate should have Figma experience, strong communication skills, and the ability to work under pressure. Quizlet offers a competitive salary, comprehensive benefits, and a commitment to diversity and inclusion.

View Details Apply on BuiltIn

Product Marketing Manager

Company: Meta

Location: New York, NY

Posted Jan 25, 2025

View Details Apply on The Muse

Mechanical Maintenance - Level III

Company: Cummins

Location: Jamestown, NY

Posted Jan 25, 2025

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Senior Software Engineer C#

Company: Thomson Reuters

Location: Mexico City, Mexico

Posted Jan 25, 2025

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(USA) Coach/Ops Mgr Trainee

Company: Walmart

Location: Bossier City, LA

Posted Jan 25, 2025

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Registered Nurse

Company: DaVita

Location: Oklahoma City, OK

Posted Jan 25, 2025

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Design Verification (DV) Engineer

Company: Hudson River Trading

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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