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.

Data Science Manager, App Foundation

Company: Meta

Location: New York, NY

Posted Jan 24, 2025

Senior Software Engineer

Company: Susco

Location: New Orleans, LA

Posted Jan 24, 2025

Susco Solutions is offering a Full-time Senior Software Engineer position with a salary range of $130,000 - $180,000. The company, headquartered in the Greater New Orleans Area, is a fast-growing tech firm and an Inc 5000 honoree. They are seeking a candidate with 10 years of web development experience, proficient in C# .NET, JavaScript, and SQL. The role involves technical leadership, application development, and legacy system conversions. Susco offers comprehensive benefits, including health insurance, 401(k), and remote work. The company culture is people-centric, with a focus on growth, communication, action, teamwork, and efficiency.

Lead Software Engineer, DevOps

Company: Capital One

Location: Mexico City, Mexico

Posted Jan 24, 2025

Capital One is seeking a Lead DevOps Engineer in Mexico City, Mexico. The role involves leading a portfolio of technology projects, collaborating with digital product managers, and delivering robust cloud-based solutions. The ideal candidate should have at least 6 years of DevOps Engineering experience, proficiency in multiple programming languages, and experience with cloud native technologies. Capital One values diversity and equal opportunities, and is committed to fostering an inclusive environment.

Veterinary Assistant

Company: Banfield Pet Hospital

Location: Bossier City, LA

Posted Jan 24, 2025

Cybersecurity Analyst (Satellite)

Company: Per Scholas

Location: New York, NY

Posted Jan 24, 2025

Per Scholas is a non-profit offering free tech career training, including cybersecurity analyst courses. The program provides hands-on learning, mentorship, and industry-recognized certifications. Learners receive support for financial control and career planning, with access to dedicated career coaches and a network of alumni and employers. The courses are tuition-free, with no hidden costs, and are accessible through partnerships with local organizations across NYC.

Senior Engineering Manager

Company: Formation Bio

Location: New York, NY

Posted Jan 24, 2025

Formation Bio, a tech and AI-driven pharma company, is revolutionizing drug development by accelerating all aspects of drug development and clinical trials. Founded in 2016, the company partners with pharma companies, research organizations, and biotechs to develop drugs past clinical proof of concept. They are backed by prominent investors including a16z, Sequoia, and Sanofi. The company is seeking a Senior Engineering Manager to lead product engineering teams, focusing on strategy, design, development, and implementation of software products using emerging technologies. The ideal candidate should have a minimum of 4 years in leading software engineering teams, 6 years in building products using modern technologies, and a proven track record in launching and scaling innovative products. Familiarity with AI technologies, cloud infrastructure, and modern software deployment processes is preferred. Formation Bio is headquartered in New York City with plans to expand in Boston, prioritizing in-person collaboration.

Product Technical Program Manager

Company: Meta

Location: New York, NY

Posted Jan 24, 2025

Meta is seeking a Product Technical Program Manager to lead technical strategy and execution on company-wide platforms and services used across Facebook, WhatsApp, Instagram, Messenger, and Oculus. The role involves driving impact by delivering measurable results, defining and guiding high-level goals and roadmaps, and collaborating across functions and organizations. The ideal candidate should have a strong technical background, understanding of system architecture, and experience in software engineering or technical product/program management. Responsibilities include building and managing teams, identifying and solving organizational problems, and influencing program/product direction.

(USA) Technician, Refrigeration/HVAC

Company: Walmart

Location: Michigan City, IN

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.

Related Pages