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Machine Learning Infrastructure Engineer Jobs in Brooklyn, NY

Optiver

Machine Learning Research Engineer

New York, NY · On-site

$224K/yr

Optiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal ... Learning infrastructure, training, and inference challenges to advance our futures trading ...

Virtu Financial

Machine Learning Engineer

New York, NY

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our ...

Virtu Financial

Machine Learning Engineer

New York, NY · On-site

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our ...

Optiver

Machine Learning Research Engineer

New York, NY · On-site

$200K/yr

Optiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal ... Learning infrastructure, training, and inference challenges to advance our futures trading ...

Purple Drive

Machine Learning Engineer

Newark, NJ

Machine Learning Engineer As a Machine Learning Engineer , you will play a critical role in ... Work with infrastructure teams to enhance architecture, scalability, stability, and performance of ...

Spotify

Machine Learning Engineer

Manhattan, NY · On-site +1

$170K - $212K/yr

Influence the technical design, architecture, and infrastructure decisions to support new and diverse machine learning architectures. * Work with Data and ML Engineers to support transitioning ...

Biohub

Machine Learning Engineer, AI

Manhattan, NY

$214K - $335K/yr

Machine Learning Engineer, AI New York, NY (Hybrid) Biohub is the first large-scale initiative ... The infrastructure problems you solve directly determine what science becomes possible. What You'll ...

Microsoft AI

Machine Learning

Manhattan, NY · On-site

... engineering experience with coding in languages including, but not limited to, C, C++, C#, Java ... creating infrastructure for AI-powered products). • OR Bachelor's Degree in Computer Science ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

Influence the technical design, architecture, and infrastructure decisions to support new and diverse machine learning architectures. * Work with Data and ML Engineers to support transitioning ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

Influence the technical design, architecture, and infrastructure decisions to support new and diverse machine learning architectures. * Work with Data and ML Engineers to support transitioning ...

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All JobsMachine Learning Infrastructure Engineer JobsMachine Learning Infrastructure Engineer Jobs in Brooklyn, NY

Machine Learning Infrastructure Engineer information

See Brooklyn, NY salary details

$48.9K

$133.6K

$191.4K

How much do machine learning infrastructure engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for machine learning infrastructure engineer in Brooklyn, NY is $133,611.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $148,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Infrastructure Engineers, and how can these be addressed on the job?

Machine Learning Infrastructure Engineers often face challenges such as ensuring infrastructure scalability, managing resource allocation, and maintaining system reliability while supporting rapid experimentation by data science teams. Balancing the needs for flexibility in research environments with production-grade stability requires a deep understanding of both engineering best practices and the unique requirements of machine learning workflows. Collaboration with data scientists, clear communication about infrastructure capabilities, and staying current with fast-evolving technologies are key strategies for success. Most companies encourage ongoing learning and provide opportunities to contribute to architecture decisions, which makes this a rewarding environment for problem-solvers and innovators.

What are the key skills and qualifications needed to thrive in the Machine Learning Infrastructure Engineer position, and why are they important?

To thrive as a Machine Learning Infrastructure Engineer, you need a strong background in computer science, cloud computing, distributed systems, and experience with machine learning frameworks, often supported by a degree in a related field. Familiarity with tools such as Docker, Kubernetes, Terraform, as well as cloud platforms like AWS, GCP, or Azure, and certifications in cloud or DevOps technologies are highly valued. Strong problem-solving abilities, effective communication, and collaboration skills help engineers work seamlessly with data scientists and cross-functional teams. These skills are essential to design, implement, and maintain robust, scalable infrastructure that enables efficient machine learning development and deployment.

What is a Machine Learning Infrastructure Engineer job?

A Machine Learning Infrastructure Engineer designs, builds, and maintains the systems that support the development and deployment of machine learning models. This includes managing data pipelines, optimizing model training and inference, and ensuring scalability and reliability in production environments. They work closely with data scientists, ML engineers, and DevOps teams to create efficient workflows and infrastructure. Key technologies often include cloud platforms, containerization, orchestration tools, and distributed computing frameworks.

What are popular job titles related to Machine Learning Infrastructure Engineer jobs in Brooklyn, NY? For Machine Learning Infrastructure Engineer jobs in Brooklyn, NY, the most frequently searched job titles are:
What job categories do people searching Machine Learning Infrastructure Engineer jobs in Brooklyn, NY look for? The top searched job categories for Machine Learning Infrastructure Engineer jobs in Brooklyn, NY are:
Machine Learning Infrastructure Engineer jobs near you
Infographic showing various Machine Learning Infrastructure Engineer job openings in Brooklyn, NY as of June 2026, with employment types broken down into 80% Full Time, 11% Part Time, 4% Temporary, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $133,611 per year, or $64.2 per hour.
Software Engineer, Machine Learning Platform

Software Engineer, Machine Learning Platform

The New York Times

New York, NY • Hybrid

Other

Posted 19 days ago

Job description

About the Role

Machine Learning (ML) at the New York Times enhances the experience of our 150 million digital readers from around the globe and grows our subscriber base through content recommendations and personalizations.

The Machine Learning Platform (MLP) team builds and maintains the infrastructure that hosts all of The New York Times real-time ML inference models, including both data and compute. Our partners are Data Scientists that build and deploy their ML models on the ML platform. On the other end, our partners are engineering systems that call these hosted models with low-latency and Service Level Agreements (SLAs) guaranteed by the MLP.

We are looking for a Software Engineer, with a focus on MLOps, to join our Machine Learning Platform team to help solve creative challenges around Machine Learning infrastructure for the New York Times.

This role is a hybrid role, based in New York City. You will report to the Engineering Manager of the Machine Learning Platform team.

Responsibilities:

  • You will research, develop, and deploy infrastructure for the Machine Learning Platform at scale

  • You will build infrastructure to train and test algorithms that provide real-time content recommendations and personalization

  • You will enhance ML platform's CI/CD and integration testing capabilities

  • You will promote developer productivity by rolling out capabilities that maximize self-sufficiency and minimize the toil in learning those capabilities in building scalable applications with high speed, quality, and performance

  • Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world

Basic Qualifications:

  • 2+ years of direct relevant experience in MLOps or DevOps, including experience operating large systems in a production environment

  • Experience deploying and monitoring systems using cloud infrastructure (GCP or AWS)

  • Experience working with Kubernetes, Docker, and CI/CD

  • Familiarity with at least one high-level programming language like Python or Go

Preferred Qualifications:

  • Experience with any of the these technologies: Terraform, Airflow, SQL/BigQuery, Drone, Triton, TensorFlow, scikit-learn, DataDog

  • Experience building real-world machine learning applications like recommendation systems, bandits, etc.

  • Experience engaging with stakeholders to understand pain points, observe patterns, and identify opportunities for improvements

This role may require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.

REQ-019501

#LI-Hybrid

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