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.

Pharmacist (Full or Part Time)

Company: Walgreens

Location: Fall City, WA

Posted Jan 25, 2025

Customer Service Associate

Company: Walgreens

Location: Calumet City, IL

Posted Jan 25, 2025

Pharmacy Customer Service Associate

Company: Walgreens

Location: Rapid City, SD

Posted Jan 25, 2025

General Manager: Misela (Designer Handbags)

Company: Leap Services Inc.

Location: New York City, NY

Posted Jan 25, 2025

Misela, a luxury handbag and accessories brand founded in 2008 by Serra Türker Misela, is renowned for its beautifully crafted bags, travel accessories, and home decor. Inspired by Istanbul's vibrant culture and contemporary design scene, Misela combines traditional Turkish craftsmanship with modern aesthetics to create timeless and sophisticated designs. The brand is seeking a dynamic and visionary General Manager for its Soho boutique, opening in March 2025. The role requires an experienced strategic and results-driven leader who can build high-performing teams, drive business growth, and ensure operational excellence. The General Manager will lead and mentor all positions in the store, fostering an environment where the team can consistently perform at their best. They will be responsible for driving sales, enhancing customer interactions, and ensuring operational standards are consistently met. The role also involves overseeing inventory management, visual merchandising, and developing strategic partnerships with neighboring stores. The General Manager will take full ownership of the store's daily operations and play a critical role in developing strategic partnerships and driving client engagement through impactful in-store activations and community events.

Pharmacy Manager

Company: Walgreens

Location: Oneonta, NY

Posted Jan 25, 2025

Sales Management Trainee

Company: Enterprise Mobility

Location: New Orleans, LA

Posted Jan 25, 2025

Customer Service Associate

Company: Walgreens

Location: New Brunswick, NJ

Posted Jan 25, 2025

Store Manager

Company: Walgreens

Location: Rotterdam, NY

Posted Jan 25, 2025

Pharmacy Customer Service Associate

Company: Walgreens

Location: Garden City, NY

Posted Jan 25, 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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