Machine Learning Jobs in New York City, NY

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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.

Customer Service Associate

Company: Walgreens

Location: Oklahoma City, OK

Posted Jan 24, 2025

Sales Management Trainee

Company: Enterprise Mobility

Location: New Rochelle, NY

Posted Jan 24, 2025

Enterprise Mobility is currently recruiting for its esteemed Management Training Program. This program offers a clear career path with numerous opportunities for growth, starting from sales, business development, customer service, retail management, or operations. The training includes comprehensive instruction in customer service, sales and marketing, finance, and operations. The company provides a robust benefits package, including competitive compensation, paid time off, health, dental, vision insurance, life insurance, prescription coverage, employee discounts, and a 401(k) retirement plan with company match and profit sharing. The ideal candidate should have a Bachelor's degree, at least 1 year of experience in sales, customer service, leadership, or related fields, be at least 18 years old, possess a valid driver's license, and be authorized to work in the US.

Lead Software Engineer- Capital Connect

Company: JPMorgan Chase

Location: Jersey City, NJ

Posted Jan 24, 2025

The job posting is for a Lead Software Engineer position at JPMorgan Chase within the Digital Private Markets team. The role involves shaping product innovation, driving value for customers, and guiding successful product launches. The engineer will be a core technical contributor, responsible for conducting critical technology solutions across multiple technical areas. Key responsibilities include executing creative software solutions, developing secure high-quality production code, and mentoring junior team members. Required qualifications include formal training in software engineering, 5+ years of applied experience, and proficiency in front-end and server-side languages. Preferred qualifications include advanced understanding of agile methodologies and practical cloud native experience.

Planificateur Financier - Lévis

Company: TD Bank

Location: Quebec City, Canada

Posted Jan 24, 2025

Systems Administrator

Company: Kyndryl

Location: Mexico City, Mexico

Posted Jan 24, 2025

Pharmacy Customer Service Associate

Company: Walgreens

Location: Saratoga Springs, NY

Posted Jan 24, 2025

Pharmacy Operations Manager

Company: Walgreens

Location: Peachtree City, GA

Posted Jan 24, 2025

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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