Machine Learning Jobs in New York City, NY

416,957 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.

Registered Nurse

Company: DaVita

Location: Sun City Center, FL

Posted Jan 24, 2025

View Details Apply on The Muse

Data & Systems Associate/Manager

Company:

Location: New York, NY

Posted Jan 24, 2025

View Details Apply on The Muse
continued growth and investment fill a critical role develop relationships with system integrators

Senior Partner Manager, Channels

Company: Datadog

Location: New York City, NY

Posted Jan 24, 2025

Datadog is seeking a Senior Partner Manager to develop relationships with system integrators, resellers, and managed service providers in the US and Canada. The role involves articulating the value of Datadog's platform, generating partner-sourced sales opportunities, and enabling and activating channel partners. The ideal candidate should have 7+ years of experience in partner-facing business development, strategic alliances, or channel sales at cloud services or SaaS organizations. Datadog offers competitive compensation, benefits, and opportunities for professional development.

View Details Apply on BuiltIn

Principal Data Scientist

Company: CVS Health

Location: Salt Lake City, UT

Posted Jan 24, 2025

View Details Apply on The Muse

2025 Summer Undergraduate Intern: Walmart Fashion Design

Company: Walmart

Location: New York, NY

Posted Jan 24, 2025

View Details Apply on The Muse

Patient Care Technician

Company: DaVita

Location: Calumet City, IL

Posted Jan 24, 2025

View Details Apply on The Muse

Senior Data Engineer

Company: Capital One

Location: New York, NY

Posted Jan 24, 2025

View Details Apply on The Muse

Beauty Sales Consultant, Licensed

Company: CVS Health

Location: Plainview, NY

Posted Jan 24, 2025

View Details Apply on The Muse

Beauty Sales Consultant, Licensed

Company: CVS Health

Location: New York, NY

Posted Jan 24, 2025

View Details Apply on The Muse

Research Scientist Intern, Smart Glasses in Wearables AI (PhD)

Company: Meta

Location: New York, NY

Posted Jan 24, 2025

View Details Apply on The Muse

Facilities / Engineering Operations Manager 2

Company: Sodexo

Location: Michigan City, IN

Posted Jan 24, 2025

View Details Apply on The Muse

Account Executive, Pro Deals

Company: Axios

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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