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.

Machinist B

Company: Oerlikon

Location: Westbury, NY

Posted Jun 05, 2025

Set up and operate more than one machine tools; such as CNC, millers, grinders, sheet metal equipment and hand tools for machining components.

Safety Security Officer

Company: Westhab Inc.

Location: Brooklyn, NY

Posted Jun 04, 2025

 Perform administrative and receptionist duties at the operations desk; monitor video surveillance cameras, and fire prevention / detection alarm notification…

HVAC Service Technician

Company: HomeServe Energy Services

Location: Staten Island, NY

Posted Jun 04, 2025

The employee frequently is required to use hands or fingers, handle or feel objects, tools, or controls while executing tasks like working on a computer or…

Servicing Specialist

Company: Tiffany & Co.

Location: Queens, NY

Posted Jun 05, 2025

The Tiffany & Co. Repair Services Representative accurately assesses repair orders to identify technical assignment based upon their understanding of individual…

Injection Molding Technician

Company: Moldex-Metric, Inc

Location: Culver City, CA

Posted Jun 05, 2025

Follow and enforce safety rules and regulations, housekeeping and good shop practices within the manufacturing area. Must speak English and Spanish.

Machine Operator II - DPI

Company: Cipla

Location: New York, NY

Posted Jun 03, 2025

In addition to a fulfilling career and competitive salary, the Company offers a comprehensive benefits package to include a 401(k) savings plan and matching,…

Hoisting Machine Operator

Company: Venia Contracting LLC

Location: Bronx, NY

Posted Jun 05, 2025

Must be certified and have a Class C HMO (Hoisting Machine Operator) license. In this prevailing wage role, you will play a vital part in our construction…

SENIOR GRAPHIC DESIGNER

Company: Bon Appetit

Location: Redwood City, CA

Posted Jun 02, 2025

Brainstorm, develop, and execute creative ideas for the design of sales materials including sales proposals and presentations.

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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