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Machine Learning Infrastructure Engineer Jobs in New York

Hang

Machine Learning Engineer

New York, NY · On-site +1

About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform ...

Good Inside

Senior Machine Learning Engineer

New York, NY · Hybrid

$205K - $235K/yr

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

Kitware

Machine Learning Engineer

New York, NY · On-site

$85K - $125K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... infrastructure. Our customers and collaborators include top universities from around the world ...

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

Machine Learning Engineers build production grade machine learning algorithms that operate in real time or at scale. They have a very deep understanding of machine learning algorithms and cloud ...

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

Machine Learning Engineers build production grade machine learning algorithms that operate in real time or at scale. They have a very deep understanding of machine learning algorithms and cloud ...

Tagup

Machine Learning Engineer

New York, NY

$125K - $165K/yr

We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next ... Continuously improve ML infrastructure and workflows. * Collaborate with customers to identify new ...

Biohub

Machine Learning Engineer, AI

New York, NY

$214K - $335K/yr

The infrastructure problems you solve directly determine what science becomes possible. What You'll ... What You'll Bring * 5+ years of industry experience building and deploying machine learning ...

Biohub

Machine Learning Engineer, AI

New York, NY · On-site +1

$214K - $335K/yr

The infrastructure problems you solve directly determine what science becomes possible. What You'll ... What You'll Bring * 5+ years of industry experience building and deploying machine learning ...

Fireworks AI

Applied Machine Learning Engineer

New York, NY · On-site

$170K - $240K/yr

At Fireworks, we're building the future of generative AI infrastructure. Our platform delivers the ... As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI ...

Tennr

Machine-Learning Operations Engineer

New York, NY · On-site

$190K - $230K/yr

You'll own building machine learning training and inference pipelines that can handle increasing ... Develop and maintain infrastructure that supports efficient ML operations, including data pipelines ...

Point72

Machine Learning Engineer

New York, NY · On-site

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day ...

Point72

Machine Learning Engineer

New York, NY

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day ...

Epitec

Research Engineer III

New York, NY · On-site

Research Engineer Contract Duration: 1 year, possible extension Work Arrangement: Remote, ideally ... Experience developing machine learning algorithms or machine learning infrastructure in Python or C ...

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Machine Learning Infrastructure Engineer information

See New York salary details

$50.9K

$139K

$199.1K

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

As of May 31, 2026, the average yearly pay for machine learning infrastructure engineer in New York is $139,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,600.00 and $154,300.00 per year, depending on experience, location, and employer.

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 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 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.
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Machine Learning Infrastructure Engineer jobs near you
Infographic showing various Machine Learning Infrastructure Engineer job openings in New York as of May 2026, with employment types broken down into 88% Full Time, 6% Part Time, 5% Contract, and 1% Summer. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $139,015 per year, or $66.8 per hour.
Machine Learning Engineer

Machine Learning Engineer

Hang

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 5 days ago

Job description

Hang is building the future of loyalty for brands.
Hang is the next generation brand loyalty & membership platform. By harnessing the power of personalization, gamification, and its integrations ecosystem, Hang provides brands with a radically new type of loyalty experience for their customers.
Today, they work with a variety of major brands (such as Ulta Beauty, Budweiser, Flipkart, and more), as well as multiple well-known, up-and-coming restaurant chains (Boba Guys, Roam Artisan Burger, and Williamsburg Pizza, among several others).
Hang draws from years of deep expertise in loyalty, game design, and finance with employees from leading companies like Google, Amazon, Apple, Meta, LinkedIn, Coinbase, Square, and Goldman Sachs.
Hang raised a $16 million Series A led by Paradigm last summer, with participation from Tiger Global, Howard Schultz, Kevin Durant, Mr. Beast, and the founders of Warby Parker, Allbirds, and Bombas, among others.
About the Role
We are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform's capabilities, making key contributions to our product development, and driving data-driven decision-making.
What You'll Do
  • Model Development: Design, build, and deploy machine learning models to improve various aspects of our platform, including customer personalization, predictive analytics, and automated decision-making.
  • Data Analysis: Analyze large datasets to identify trends and patterns, and use this information to inform model development and business strategies.
  • Algorithm Optimization: Continuously test and refine algorithms to improve accuracy and efficiency.
  • Collaborative Development: Work closely with software engineers, data scientists, and product managers to integrate ML models into our platform and ensure seamless deployment.
  • Research and Innovation: Stay up-to-date with the latest developments in machine learning and AI, and explore new techniques and technologies that could benefit Hang.
  • Technical Leadership: Provide insights and guidance on best practices in machine learning, and contribute to the strategic direction of our technology.
Who You Are
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. A Ph.D. is a plus.
  • 5+ years of experience in machine learning and data related roles.
  • Proven experience as a Machine Learning Engineer or in a similar role.
  • Strong programming skills in Python and familiarity with ML frameworks (like TensorFlow or PyTorch).
  • Experience with data processing and data analytics.
  • Experience with vector databases, demonstrating proficiency in managing and querying high-dimensional data. Familiarity with popular vector databases like Redis, Milvus, Pinecone, Weaviate, Chroma or Faiss is required.
  • Knowledge of machine learning techniques and algorithms, including fine tuning processes and methodology.
  • Experience in deploying Large Language Models (LLMs) in production environments, including optimization and scaling considerations.
  • Experience with snowflake, Postgres, RDS, Redis and AWS.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
  • Strong communication skills and ability to work well in a team.
  • Experience with Ruby is a plus.
What Would Set You Apart
  • You have a passion for consumer brands and loyalty programs.

Benefits
  • Top-tier health, vision, and dental insurance, including plans with $0 employee cost.
  • Unlimited PTO / sick leave
  • Competitive salary & equity compensation.
  • Quarterly company offsites
Hang logo

About Hang

Sourced by ZipRecruiter

Industry

Software development

Company size

1 - 10 Employees

Headquarters location

Santa Monica, CA, US

Year founded

2021

Social media

Twitter

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