Machine Learning Jobs in New York City, NY

417,006 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.

Production Worker Seasonal - Elmsford, NY

Company: Coca-Cola

Location: Tarrytown, NY

Posted Jan 24, 2025

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Pharmacy Technician / Pharm Tech Apprenticeship

Company: Walgreens

Location: Brooklyn, NY

Posted Jan 24, 2025

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High School Physics Teacher

Company: Ascend

Location: New York, NY

Posted Jan 24, 2025

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New Business Developer

Company: Sysco

Location: Albany, NY

Posted Jan 24, 2025

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Research Engineers with experience collaborate with EMG research and engineering teams design

Research Engineer, Neural Interfaces (Kinematics)

Company: Meta

Location: New York, NY

Posted Jan 24, 2025

Meta is recruiting Research Engineers with expertise in computer vision, human behavior, and kinematics. The role involves collaborating with EMG research and engineering teams to design and deploy human kinematic tracking experiments, develop multimodal data collection pipelines, and extend training pipelines for novel data streams. The ideal candidate should have a Bachelor's degree in Computer Science or a related field, research-oriented software engineering skills, and programming experience in Python and PyTorch. Preferred qualifications include a Master's degree in AI or a related field, industrial R&D experience, and expertise in pose estimation and movement tracking.

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Customer Service Associate

Company: Walgreens

Location: New Smyrna Beach, FL

Posted Jan 24, 2025

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Emerging Store Manager

Company: Walgreens

Location: Westchester, NY

Posted Jan 24, 2025

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Customer Service Associate

Company: Walgreens

Location: New Bedford, MA

Posted Jan 24, 2025

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Registered Nurse

Company: DaVita

Location: Peachtree City, GA

Posted Jan 24, 2025

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Veterinary Assistant

Company: Banfield Pet Hospital

Location: Brooklyn, NY

Posted Jan 24, 2025

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distinctive and delightful customer experience engages customers and patients provides courteous

Customer Service Associate

Company: Walgreens

Location: Calumet City, IL

Posted Jan 24, 2025

The text describes a job role that involves delivering a distinctive and delightful customer experience. The responsibilities include engaging customers, resolving issues, and providing efficient checkout service. The role also involves maintaining store cleanliness, implementing asset protection procedures, and ensuring compliance with regulated product laws. The job requires fluency in English and a willingness to work flexible hours. Preferred qualifications include retail experience and prior Walgreens experience.

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Albany Government Health Actuary Manager

Company: Deloitte

Location: New York, NY

Posted Jan 24, 2025

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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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