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Machine Learning Platform Engineer Jobs in New York, NY

Baseten

Cloud Platform Engineer

Manhattan, NY · On-site

... a Cloud Platform Engineer to build scalable and reliable infrastructure. The role involves ... of machine learning models. • Establish standards and best practices for reliability and ...

Baseten

Cloud Platform Engineer

New York, NY · On-site +1

$165K - $330K/yr

Join us and help build the platform engineers turn to to ship AI products. THE ROLE As a Cloud ... No prior machine learning experience required, but should be open to learning about it. BENEFITS

Chefman

Machine Learning Engineer

Mahwah, NJ · On-site

As a Machine Learning Engineer, you will play a critical role in shaping the future of cooking ... Experience working with public cloud platforms such as AWS, Google Cloud Platform, or Microsoft ...

Chefman

Machine Learning Engineer

Mahwah, NJ · On-site

As a Machine Learning Engineer, you will play a critical role in shaping the future of cooking ... Experience working with public cloud platforms such as AWS, Google Cloud Platform, or Microsoft ...

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

exacare ai

Machine Learning Engineer

New York, NY · On-site

Proven (3+ years) of experience in machine learning engineering, MLOps, ML infrastructure, data engineering, or backend/platform engineering in ML environments * Experience supporting ML systems end ...

Goodfire

Machine Learning Engineer

Manhattan, NY · On-site

They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to various aspects such as ...

Goodfire

Machine Learning Engineer

Manhattan, NY · On-site

They are seeking Machine Learning Engineers to build a platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to the development of core technology and ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

We are looking for an engineer with robust experience in machine learning and strong mathematical ... Our ever-evolving trading environment serves as a unique, rapid-feedback platform for ML ...

New York Times

Machine Learning Engineer

Manhattan, NY · On-site

$170.17 - $255.26/hr

Job Overview Machine Learning Engineer w/ Spotify USA Inc. in NY, NY. Bld productn systms that enrich & improve Spotify listeners' exp on Spotify usg machine learng techniques. Bach deg (U.S. or for ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

We are looking for an engineer with robust experience in machine learning and strong mathematical ... Our ever-evolving trading environment serves as a unique, rapid-feedback platform for ML ...

Trading Interview

Machine Learning Engineer

Manhattan, NY · On-site

$180 - $240/hr

We are looking for an engineer with robust experience in machine learning and strong mathematical ... Our ever-evolving trading environment serves as a unique, rapid-feedback platform for ML ...

New

PhysicsX

Machine Learning Engineer

New York, NY · On-site

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who ... Cloud platforms (e.g., AWS, Azure, GCP) and HP computing * Containerization and orchestration ...

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All JobsMachine Learning Platform Engineer JobsMachine Learning Platform Engineer Jobs in New York, NY

Machine Learning Platform Engineer information

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How much do machine learning platform engineer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for machine learning platform engineer in New York, NY is $69.97, according to ZipRecruiter salary data. Most workers in this role earn between $55.24 and $80.72 per hour, depending on experience, location, and employer.

What is a machine learning platform engineer?

A Machine Learning Platform Engineer designs, builds, and maintains the infrastructure that enables machine learning development and deployment at scale. They work on areas like data pipelines, model training workflows, monitoring, and cloud or on-premises platforms to ensure ML models run efficiently in production. Their role bridges software engineering and machine learning, focusing on automation, scalability, and reliability to support data scientists and ML engineers in delivering models faster and more effectively.

What does a machine learning platform engineer do?

A typical day for a Machine Learning Platform Engineer involves designing, building, and maintaining the infrastructure that supports data science and machine learning workflows. You might spend your time developing new features for the platform, optimizing data pipelines, deploying models, and troubleshooting technical issues alongside data scientists and engineers. Collaboration is key—you’ll often work closely with cross-functional teams to understand requirements, ensure scalability, and improve the overall machine learning lifecycle. This role offers a challenging mix of software engineering and system design, so adaptability and a proactive mindset are important for success.

What skills and qualifications are needed to thrive as a machine learning platform engineer?

A Machine Learning Platform Engineer should have strong programming skills (especially in Python or Java), knowledge of machine learning frameworks (like TensorFlow or PyTorch), and experience with cloud platforms and scalable infrastructure. Familiarity with containerization tools (such as Docker and Kubernetes), CI/CD systems, and relevant certifications in cloud or machine learning technologies is highly valued. Effective problem-solving, teamwork, and clear communication are crucial soft skills for collaborating across data science and engineering teams. These capabilities enable seamless creation and maintenance of robust, high-performance machine learning platforms for scalable model development and deployment.

What are popular job titles related to Machine Learning Platform Engineer jobs in New York, NY?

For Machine Learning Platform Engineer jobs in New York, NY, the most frequently searched job titles are:

What job categories do people searching Machine Learning Platform Engineer jobs in New York, NY look for?

The top searched job categories for Machine Learning Platform Engineer jobs in New York, NY are:

Machine Learning Platform Engineer jobs near you
Infographic showing various Machine Learning Platform Engineer job openings in New York, NY as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $145,535 per year, or $70 per hour.

Cloud Platform Engineer

Baseten

Manhattan, NY • On-site

Full-time

Re-posted 12 days ago

Job description

Job Summary:
Baseten powers mission-critical inference for leading AI companies and is seeking a Cloud Platform Engineer to build scalable and reliable infrastructure. The role involves automating deployments, optimizing performance, and collaborating with users to enhance the platform.
Responsibilities:
• Build and maintain scalable infrastructure to support the deployment and operation of machine learning models.
• Establish standards and best practices for reliability and performance across the infrastructure.
• Automate processes when relevant, particularly for managing CI/CD pipelines.
• Own products and projects end-to-end, functioning as both an engineer and a project manager, with a focus on user empathy, project specification, and end-to-end execution.
• Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions.
• Mentor junior team members and contribute to knowledge sharing within the organization.
• Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.
• Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates.
Qualifications:
Required:
• Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
• Extensive experience with Kubernetes.
• Experience in building and maintaining scalable infrastructure.
• Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, Circle CI, Jenkins).
• Ability to own projects end-to-end, from project specification to execution.
• No prior machine learning experience required, but should be open to learning about it.
Preferred:
• Relevant OSS observability experience (Prometheus, ELK stack, Grafana stack, Opentelemetry) is a plus.
Company:
Baseten provides the necessary infrastructure, tooling, and expertise to integrate AI into business operations. Founded in 2019, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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