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Machine Learning Infrastructure Engineer Jobs in Brooklyn, NY

DailyPay

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

They are seeking a Senior Machine Learning Engineer to enhance their machine learning infrastructure and collaborate with cross-functional teams to deliver impactful ML solutions. Responsibilities ...

Optiver

Machine Learning Research Engineer

New York, NY

$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 ...

DailyPay

Senior Machine Learning Engineer

New York, NY · Remote

$190K - $250K/yr

Cloud Infrastructure: Manage and optimize AWS infrastructure for machine learning workloads ... Mentor junior engineers. Share domain knowledge and help build genuine technical depth on the team.

DailyPay

Senior Machine Learning Engineer

New York, NY · On-site

$190K - $250K/yr

Cloud Infrastructure: Manage and optimize AWS infrastructure for machine learning workloads ... Mentor junior engineers. Share domain knowledge and help build genuine technical depth on the team.

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 ...

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 ...

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 ...

exacare ai

Machine Learning Engineer

Manhattan, NY · On-site

They are seeking a Machine Learning Engineer focused on MLOps to operationalize and scale their ... Responsibilities : • Build and maintain the workflows and infrastructure that support the end-to ...

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 ...

Tennr

Staff Backend Software Engineer

Manhattan, NY · On-site

They are seeking a Senior Backend Engineer to architect and implement features across their backend services, with an emphasis on workflow automation and machine learning infrastructure.

Meta

Software Engineer, Systems ML

New York, NY · On-site

$189K - $224K/yr

Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that.

Good Inside

Machine Learning Engineer

New York, NY

$205K - $235K/yr

The Opportunity Good Inside is seeking a Machine Learning Engineer to join our Engineering team ... Build data pipelines and infrastructure to support model serving, feature storage, and real-time ...

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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 Jul 15, 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 July 2026, with employment types broken down into 91% Full Time, 6% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $133,611 per year, or $64.2 per hour.
Lead Platform Machine Learning Engineer - Engine

Lead Platform Machine Learning Engineer - Engine

Gen

Manhattan, NY • On-site

$112K - $148K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands. They are seeking a Lead Platform Machine Learning Engineer to design and maintain infrastructure for machine learning workloads, ensuring reliability and performance in production systems.
Responsibilities:
• Design, build, and maintain infrastructure supporting ML training, deployment, and inference workloads.
• Own and improve CI/CD, infrastructure-as-code, observability, and operational tooling for ML systems.
• Operate and evolve production systems with a strong focus on reliability, performance, and cost efficiency.
• Build and maintain Kubernetes- and cloud-based services that support model execution and data workflows.
• Partner with data scientists and engineers to support model deployment and operational needs.
• Improve developer workflows through automation, tooling, and platform abstractions.
• Participate in on-call and operational ownership for platform components.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in software engineering, platform engineering, or DevOps/SRE roles.
• Strong systems engineering background with production operations experience.
• Strong experience with backend or platform services.
• Hands-on experience with cloud infrastructure and tooling (e.g., AWS, Docker, Kubernetes, Terraform, CI/CD, monitoring).
• Experience operating distributed systems in production.
• Strong problem-solving skills and an operations-first mindset.
• Ability to thrive in a fast-paced, high-tech environment and manage complex problems.
Preferred:
• Experience with machine learning infrastructure, model serving, or data platforms is a strong plus.
Company:
Gen is a cybersecurity company that offers security, identity protection, and privacy solutions. Founded in 2022, the company is headquartered in Tempe, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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