Machine Learning Jobs in New York City, NY

Positions 417,006 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.

Project Manager-Real Estate Measurement & Analytics

Company: SAA

Location: Culver City, CA

Posted Oct 15, 2025

Individuals must possess a valid driver’s license with a good driving record and have reliable transportation. 14 paid holidays per year.

Lead Machine Learning Engineer - ML/AI

Company: Capital One

Location: New York, NY

Posted Oct 13, 2025

Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large…

Accountant - New York, NY - Part-Time

Company: Your Part-Time Controller, LLC

Location: New York, NY

Posted Oct 15, 2025

4 WEEKS PAID TIME OFF, generally consisting of 100 hours paid vacation to start with eligibility for additional vacation based on tenure and a minimum 40 hours…

Sr. Applied Scientist, SCOT RL

Company: Amazon Stores

Location: New York, NY

Posted Oct 15, 2025

Design, implement, and evaluate innovative models, agents, and software prototypes. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet,…

Sr. Software Engineer, Front End / Full-Stack (JavaScript ES6+, Angular, NgRX, AWS Fargate)

Company: Capital One

Location: New York, NY

Posted Oct 13, 2025

Own the technical design and development of cross-functional, multi-platform application systems. 2+ years of experience with open-source state management and…

Distinguished AI Engineer (Agentic AI Platform Infrastructure)

Company: Capital One

Location: New York, NY

Posted Oct 13, 2025

Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency,…

Sr. Rust Developer

Company: Fidelity TalentSource

Location: Jersey City, NJ

Posted Oct 13, 2025

Bachelor's degree in computer science or related field required. Participate in engineering practices such as code and design reviews, environment strategy, and…

User Experience Copywriter

Company: Macy’s

Location: New York, NY

Posted Oct 13, 2025

Candidates with a bachelor’s degree or equivalent work experience in a related field are encouraged to apply. User-Centered Design: Deep understanding of UX/UI…

Frequently Asked Questions

What are typical salary ranges by seniority for machine learning roles?
Entry‑level ML Engineer: $90k–$120k; Mid‑level ML Engineer or Data Scientist: $120k–$160k; Senior ML Engineer or Research Scientist: $160k–$220k; Lead ML Engineer or Principal Research Scientist: $200k–$280k; AI Product Manager: $130k–$180k depending on experience and market.
What skills and certifications are most valuable in machine learning today?
Core language: Python; Deep learning frameworks: TensorFlow, PyTorch; Scikit‑learn for classical models; SQL and NoSQL databases for data ingestion; Docker and Kubernetes for deployment; Cloud AI services such as AWS SageMaker, GCP Vertex AI, Azure ML. Certifications: TensorFlow Developer Certificate, AWS Certified Machine Learning – Specialty, GCP Professional Machine Learning Engineer.
How common is remote work for machine learning positions?
Over 70% of ML roles allow full remote or hybrid arrangements. Startups and fintech firms tend to offer 100% remote options, while larger enterprises often provide hybrid models with occasional on‑site data‑center visits. Remote work is especially prevalent for roles focused on model training and research.
What career progression paths exist in machine learning?
Typical paths: ML Engineer → Senior ML Engineer → Lead ML Engineer → ML Manager; Data Scientist → Senior Data Scientist → Lead Data Scientist → Head of Data; Research Scientist → Senior Research Scientist → Principal Scientist → Chief Data Scientist; ML Ops Engineer → Senior ML Ops Engineer → Lead ML Ops Engineer → Director of MLOps. Progression often involves moving from coding to architecture, then to leadership and strategy.
What are the current industry trends shaping machine learning hiring?
Key trends: reinforcement learning for autonomous systems; federated learning for privacy‑preserving models; edge AI for IoT devices; AutoML platforms speeding model deployment; MLOps practices for scalable pipelines; explainable AI and ethics compliance; and increased demand for AI governance roles.

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