Machine Learning Jobs in New York City, NY

416,650 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.

Digital Workspace Administrator

Company: TD Bank

Location: New York, NY

Posted Feb 03, 2025

View Details Apply on The Muse

Summer Truck Rental Account Specialist Internship - Johnston, RI

Company: Enterprise Mobility

Location: New Britain, CT

Posted Feb 03, 2025

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Retail Print Sales Specialist

Company: Staples

Location: Manhattan, NY

Posted Feb 03, 2025

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Retail Sales Associate - SOHO

Company: Gap Inc.

Location: New York, NY

Posted Feb 03, 2025

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Senior Accountant

Company: Yext

Location: New York, NY

Posted Feb 03, 2025

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Partner Engineer, Embedded Systems

Company: Meta

Location: New York, NY

Posted Feb 03, 2025

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(USA) Member Team Lead

Company: Walmart

Location: Traverse City, MI

Posted Feb 03, 2025

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CHEESE SHOP/MURRAY'S CHEESE

Company: Kroger

Location: Salt Lake City, UT

Posted Feb 03, 2025

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Senior Finance Analyst

Company: TD Bank

Location: New York, NY

Posted Feb 03, 2025

View Details Apply on The Muse
deeptech company developing machine learning applications radically improve concepts and designs transform engineering processes and drive operational product performance

FEA Engineer

Company: PhysicsX

Location: New York City, NY

Posted Feb 03, 2025

PhysicsX is a deeptech company specializing in machine learning applications for physics simulations. They aim to revolutionize design and engineering processes across various industries, including Space, Aerospace, Medical Devices, Additive Manufacturing, Electric Vehicles, Motorsport, and Renewables. Their work positively impacts society by improving artificial heart designs, reducing CO2 emissions, and enhancing wind turbine performance. They are currently hiring a Simulation Engineer with expertise in Finite Element Analysis (FEA) and optimization methods. The role involves working with data scientists, machine learning engineers, and clients to develop solutions for complex engineering challenges. The company values diversity and offers a competitive compensation package, a flat hierarchy, and a supportive work environment.

View Details Apply on BuiltIn

Business Development Representative

Company: Thomson Reuters

Location: Mexico City, Mexico

Posted Feb 03, 2025

View Details Apply on The Muse

Senior Business Manager - Digital Product Strategy

Company: Capital One

Location: New York, NY

Posted Feb 03, 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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