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.

Patient Care Technician

Company: DaVita

Location: Boston, NY

Posted Jan 24, 2025

Automation systems engineer

Company: Infosys

Location: Mexico City, Mexico

Posted Jan 24, 2025

This job posting is for a Quality Engineering Analyst role, where the successful candidate will be responsible for testing software products to ensure they meet high standards. The role involves working with key stakeholders, applying technical proficiency across the Software Testing Life Cycle, and delivering high-quality test scripts. The position requires a Bachelor's degree in computer science, 3+ years of experience in testing and automation with Selenium WebDriver and Java, and strong communication skills in English. The role also values teamwork, collaboration, and diversity, and requires a hybrid work mode with at least 60% office presence.

Patient Care Technician

Company: DaVita

Location: Purchase, NY

Posted Jan 24, 2025

DaVita is recruiting a Patient Care Technician for an outpatient dialysis center. The role involves direct patient care, technician duties, and building relationships with patients. No dialysis experience is required, and DaVita offers comprehensive benefits, training, and career advancement opportunities. The position requires flexibility, comfort with blood and needles, and physical stamina for long hours.

Tax Senior

Company: Deloitte

Location: New York, NY

Posted Jan 24, 2025

Retail Sales Specialist

Company: Staples

Location: New London, CT

Posted Jan 24, 2025

VP of Indirect Channel Sales

Company: Balsam Brands

Location: Redwood City, CA

Posted Jan 24, 2025

Application Support Analyst - Digital Pay Team

Company: Thomson Reuters

Location: Mexico City, Mexico

Posted Jan 24, 2025

Thomson Reuters is seeking an Application Support Analyst for the Digital Pay Team. The role involves delivering reliable infrastructure and application operations, partnering with development teams for operational readiness, collaborating with stakeholders for application roadmaps, and driving continual service improvement. The ideal candidate should have 3+ years of experience in software development or infrastructure operations, ITIL process understanding, and experience with modern application architecture and cloud infrastructure. Benefits include a flexible hybrid work model, comprehensive wellbeing programs, and opportunities for professional growth.

Associate General Counsel, AI Product

Company: Meta

Location: New York, NY

Posted Jan 24, 2025

Meta is seeking a highly motivated technology enthusiast to serve as Product Counsel for their AI organization. The role involves advising AI and Machine Learning teams on legal and regulatory issues, applying complex legal frameworks to an innovative space. This is a full-time position offering an opportunity to join a growing legal team and work on novel issues in a fast-paced environment. The ideal candidate should have a J.D. degree, active membership in at least one US state bar, 10+ years of legal experience, and expertise in areas like consumer protection, privacy, data security, and intellectual property law. Meta is committed to providing reasonable accommodations for candidates with disabilities and offers competitive compensation with benefits.

Retail Sales Supervisor

Company: Staples

Location: New Brunswick, NJ

Posted Jan 24, 2025

Patient Care Technician

Company: DaVita

Location: New Orleans, LA

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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