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.

Senior Technical Solutions Data Analyst

Company: Datadog

Location: New York, NY

Posted Jan 25, 2025

View Details Apply on The Muse

Senior Product Marketing Manager

Company: Vim

Location: New York, NY

Posted Jan 25, 2025

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Executive Team Leader Human Resources (Assistant Manager HR) - Sioux City, IA

Company: Target

Location: Sioux City, IA

Posted Jan 25, 2025

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Mechanical Maintenance - Level III

Company: Cummins

Location: Jamestown, NY

Posted Jan 25, 2025

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Manager, Software Engineering, Back End

Company: Capital One

Location: New York, NY

Posted Jan 25, 2025

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Manager, B2B Performance Marketing

Company: DoorDash

Location: Mexico City, Mexico

Posted Jan 25, 2025

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L2 SAP Integrations Analyst

Company: Thomson Reuters

Location: Mexico City, Mexico

Posted Jan 25, 2025

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redefining what it means to be a true partner in progress guided by trust ethics and bold innovation delivering fast data-driven insights and cloud-powered solutions

Informatica MDM Lead (Intelligent Data Management Cloud/IDMC/IICS)

Company: Ccube

Location: New York City, NY

Posted Jan 25, 2025

Ccube is seeking an experienced Informatica MDM Lead Developer for a remote position, preferably in the EST time zone. The ideal candidate will have 12+ years of experience in Informatica MDM, data modeling, and data integration. They will be responsible for designing, building, and configuring applications using Informatica MDM ETL and Informatica Intelligent Data Management Cloud. The role involves collaborating with cross-functional teams, providing technical guidance, and staying updated with the latest advancements in Informatica MDM. Ccube offers a flexible work environment, medical and dental premiums, performance bonuses, and career development opportunities.

View Details Apply on BuiltIn

Oracle EBS & PeopleSoft Financials Manager

Company: Deloitte

Location: Kansas City, MO

Posted Jan 25, 2025

View Details Apply on The Muse

Research Scientist Intern, Gen AI Large Language Models (LLM) (PhD)

Company: Meta

Location: New York, NY

Posted Jan 25, 2025

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Nurse Practitioner - Oncology - Crystal Run Health, Optum - Middletown, NY

Company: UnitedHealth Group

Location: Middletown, NY

Posted Jan 25, 2025

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Retail Banker II Float (Queens/Brooklyn) Full-Time

Company: TD Bank

Location: Queens, 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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