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.

Sr. Firmware QA Engineer - Kohler Ventures

Company: Kohler

Location: New York, NY

Posted Apr 14, 2025

You hold a bachelor’s degree in computer science, Engineering, or related field. Experience with test automation tools/frameworks for hardware/firmware…

Data Analyst, Global Partnerships & Content

Company: Meta

Location: New York, NY

Posted Apr 17, 2025

Understand partner performance, collaborating with key stakeholders to develop recommendations for measurement. 5+ years of experience in data analytics roles.

Cloud Software Engineering Manager - Kohler Ventures

Company: Kohler

Location: New York, NY

Posted Apr 15, 2025

Collaboration and Communication: Serve as the key point of contact between the data engineering team and other departments, translating technical concepts into…

Part-time Sales Associate (West Village)

Company: Brooklinen

Location: New York, NY

Posted Apr 17, 2025

At Brooklinen, our goal is to offer a competitive total compensation package which we determine based on specific market data taking into account our company…

Back End Developer- AI Trainer

Company: DataAnnotation

Location: New York, NY

Posted Apr 17, 2025

A bachelor’s degree (completed or in progress). Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python…

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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