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.

FullStack

Company: Infosys

Location: Mexico City, Mexico

Posted Jan 24, 2025

The job posting is for a Full Stack Engineer position requiring strong proficiency in front-end development technologies (React, Angular, Vue.js) and back-end languages (Java, Python, Node.js). The role involves designing, developing, and maintaining scalable web applications, collaborating with cross-functional teams, and ensuring code quality through testing. Familiarity with cloud platforms (AWS, Azure, GCP), DevOps practices, and software development methodologies (Agile, Scrum) is essential. Knowledge of microservices architecture, security best practices, and data engineering concepts is a plus. The position is located in Toluca/CDMX with a hybrid work scheme.

Project Manager - L2

Company: Wipro

Location: New Castle, IN

Posted Jan 24, 2025

Sanctions Compliance Officer

Company: Meta

Location: New York, NY

Posted Jan 24, 2025

Program Manager, Product Testing

Company: Meta

Location: New York, NY

Posted Jan 24, 2025

Automotive Technician

Company: CarMax

Location: Sun City, AZ

Posted Jan 24, 2025

CarMax, a leading used car retailer, is hiring Automotive Technicians. The role involves inspecting, reconditioning, and repairing vehicles to ensure customer satisfaction. Technicians work in a fast-paced environment, solving technical problems, and meeting deadlines. CarMax offers a range of benefits including paid time off, medical/dental coverage, 401k with company match, vehicle discount, tuition reimbursement, and more. The company values safety, cleanliness, and organization, and supports associates' growth through training and skill development. Qualifications include experience in engine repair, steering and suspension, brakes, and heating and air conditioning, along with manual dexterity, physical stamina, and good communication skills.

(USA) Member Specialist

Company: Walmart

Location: Fishkill, NY

Posted Jan 24, 2025

The job involves maintaining a clean and organized area, providing excellent member service, assisting with training, ensuring security and safety, and complying with company policies. Benefits include competitive pay, health benefits, financial benefits, paid time off, and various other perks. The role requires customer service and retail experience, preferably with front-end equipment operation and mobile retail applications.

Manager I, Documentation

Company: Datadog

Location: New York, 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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