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.

Production Engineer (University Grad)

Company: Meta

Location: New York, NY

Posted Jan 24, 2025

Sr. Product Program Manager

Company: Robinhood

Location: New York, NY

Posted Jan 24, 2025

Lead Software Engineer - Java

Company: JPMorgan Chase

Location: Bonifacio Global City, Philippines

Posted Jan 24, 2025

Regional Sales Manager, Voluntary Benefits

Company: MassMutual

Location: Kansas City, MO / Remote

Posted Jan 24, 2025

Senior Field Technician & Safety Trainer

Company: Spectrum

Location: New York, NY

Posted Jan 24, 2025

The role involves delivering comprehensive training programs to Field Operations Employees, covering all product lines, data, operational, and soft skills training. The individual assumes leadership within the training team when necessary, using technical expertise to deliver complex subject matter. They facilitate learning through various methods, including classroom instruction, web-based training, and hands-on labs. The role also involves supervising employees, providing safety training, and performing administrative duties. The employee is expected to exhibit a commitment to continuous learning, evaluate learning outcomes, and act as a Subject Matter Expert for courseware revisions. They also participate in project management and assist with administrative duties.

Business Process Owner, NAM G&O, Domestic Trade Execution

Company: Louis Dreyfus Company

Location: Kansas City, MO

Posted Jan 24, 2025

Louis Dreyfus Company, a leading merchant and processor of agricultural goods, is undertaking a strategic program to transform business processes globally. The company is seeking a Trade Execution Business Process Owner (BPO) for a multiregion crossfunctional project team. The BPO will coordinate input from subject matter experts, define forward-thinking business processes, and focus on standardization and automation. The role requires strong quantitative and analytical skills, organizational abilities, and excellent communication skills. The company offers a dynamic international environment, comprehensive benefits, and opportunities for career development.

Retail Sales Associate - The Sands

Company: Gap Inc.

Location: Garden City, NY

Posted Jan 24, 2025

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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