Machine Learning Jobs in New York City, NY

416,993 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.

Risk Management - Payments Risk Strategy Vice President

Company: JPMorgan Chase

Location: New York, NY

Posted Jan 24, 2025

View Details Apply on The Muse

HR Business Partner - Global E-commerce Operations - Mexico City

Company: TikTok

Location: Mexico City, Mexico

Posted Jan 24, 2025

View Details Apply on The Muse

Principal Associate, Data Scientist - Mainstreet Card

Company: Capital One

Location: New York, NY

Posted Jan 24, 2025

View Details Apply on The Muse

Senior Electrical Engineer

Company: Schneider Electric

Location: New Haven, CT

Posted Jan 24, 2025

View Details Apply on The Muse

Early Talent - 2025 - Northeast: Tri-State - Store Leadership Internship

Company: Kohl's

Location: New York, NY

Posted Jan 24, 2025

View Details Apply on The Muse

Algorithm Developer (Quant Researcher) – 2025 PhDs

Company: Hudson River Trading

Location: New York, NY

Posted Jan 24, 2025

View Details Apply on The Muse
global digital marketing agency strategic marketing leadership content creation and campaign management

US Marketing Lead

Company: Jellyfish (jellyfish.com)

Location: New York City, NY

Posted Jan 24, 2025

Jellyfish, a global digital marketing agency, is seeking a US marketing lead to join their leadership team. The role involves strategic marketing leadership, content creation, campaign management, and relationship building. The ideal candidate should have 8+ years of experience in marketing within the advertising space, experience in developing integrated marketing strategies, and a strong network in main publications, media outlets, and event organizers. Jellyfish offers a competitive salary, healthcare plans, a custom work environment, growth opportunities, and family support. The company values diverse perspectives and inclusive collaboration, fostering an environment where business growth and personal fulfillment go hand in hand.

View Details Apply on BuiltIn

Senior Associate, Product Manager - Marketing Adtech

Company: Capital One

Location: New York, NY

Posted Jan 24, 2025

View Details Apply on The Muse

Senior Manager, Software Engineering, Full Stack

Company: Capital One

Location: New York, NY

Posted Jan 24, 2025

View Details Apply on The Muse

AIML - Senior ML Engineering Manager, Evaluation & Analytics

Company: Apple

Location: New York, NY

Posted Jan 24, 2025

View Details Apply on The Muse

Physican - OB/GYN Generalist - Mount Kisco, NY

Company: UnitedHealth Group

Location: Westchester, NY

Posted Jan 24, 2025

View Details Apply on The Muse

Senior Software Engineer, Full Stack

Company: Capital One

Location: New York, NY

Posted Jan 24, 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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