Machine Learning Engineer

Explore exciting Machine Learning Engineer jobs in New York, where innovation meets opportunity. These roles involve developing algorithms, creating predictive models, and implementing machine learning solutions to address complex problems. Machine learning engineers are in high demand across various sectors, including finance, healthcare, and technology, contributing to cutting-edge advancements and data-driven decision-making.

New York's tech scene offers a dynamic environment for machine learning professionals to collaborate, innovate, and grow their careers. Key responsibilities often include data analysis, feature engineering, model training, and performance evaluation. Companies are seeking candidates with strong programming skills, expertise in machine learning frameworks, and a passion for staying current with the latest research and trends.

Whether you're an experienced machine learning engineer or a recent graduate, New York provides a wealth of opportunities to advance your career. Search for roles that match your skills and interests, and take the next step in your machine learning journey. Find the perfect machine learning engineer position in New York today and contribute to the future of artificial intelligence.

Typically, a bachelor's or master's degree in computer science, mathematics, or a related field is required. Strong programming skills in languages like Python, experience with machine learning frameworks such as Tensor Flow or PyTorch, and a solid understanding of statistical modeling are beneficial.

The average salary for a Machine Learning Engineer in New York ranges from $120,000 to $180,000 per year. This range depends on factors like experience, education, and the specific company. Senior roles and specialized skills can command higher compensation.

Top employers include companies like Google, Amazon, and JPMorgan Chase. These companies are actively hiring machine learning engineers to work on various projects. They offer competitive salaries and opportunities for professional growth.

Showing 5000+ Machine Learning Engineer jobs in New York

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About the role and team details are described by the employer in subsequent sections, including responsibilities, qualifications, and compensation information.

Instacart/Disney/Oracle postings in this document reflect different employer contexts. The following sections illustrate typical responsibilities and qualifications for senior ML Engineer roles, including design, development, and deployment of ML models, data pipelines, and production-grade systems. They also describe the collaboration patterns with product, data, and platform teams, and the emphasis on reliability, security, and governance.

• Design, develop, and deploy machine learning solutions to tackle practical challenges in the marketplace or content platforms.
• Collaborate with product managers, data scientists, and engineers to understand business needs and create ML/AI applications.
• Engage with stakeholders to ensure solutions are well-integrated with business goals.
• Refine algorithms and models to improve performance and efficiency.

• 3+ years of ML engineering experience in model training, fine-tuning, or production pipelines
• Strong Python and deep learning proficiency (PyTorch preferred; familiarity with training loops, optimizers, mixed precision)
• Hands-on experience with RL or LLM post-training and understanding of data quality effects on model behavior
• Experience with ML frameworks and cloud/ HPC environments

• Experience delivering ML solutions at scale with large datasets
• Knowledge of modern MLOps stacks and model governance practices
• Experience with CI/CD, testing, containerization, and Kubernetes

These postings may include varied compensation ranges by location and role. Benefits and total compensation details are provided by employers in their postings.

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Note: If you’re asked to pay for a job, avoid the role and report the job to us immediately.

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