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.

Prompt Engineer

Company: IBM

Location: NO City, BR

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on long-term client relationships, digital transformation, and leveraging AI and agile methodologies. It highlights the importance of curiosity, continuous learning, and collaboration in a supportive work environment.

Partner Sales Executive

Company: Canonical

Location: Australia,New Zealand,Anywhere

Posted Nov 22, 2025

Canonical is a leading provider of open source software and operating systems, with a focus on enterprise initiatives such as public cloud, data science, AI, and IoT. The company is growing its channel sales team to capitalize on demand from partners. The Partner Sales Executive role involves developing channel strategy, recruiting new partners, and driving sales within the ANZ territory.

Engineering Manager (FE) - Learning Experience

Company: Canva

Location: New Zealand

Posted Nov 12, 2025

Canva is seeking an Engineering Manager to lead a frontend team focused on building AI-generated learning content and a new learning library. The role involves designing intuitive user experiences, collaborating cross-functionally, driving technical strategy, coaching engineers, and contributing to feature development. Canva offers equity packages, inclusive parental leave, a Vibe & Thrive allowance, and flexible leave options.

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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