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Ml Platform Engineer Jobs (NOW HIRING)

Stitch Fix

ML Platform Engineer

About the Role As an ML Platform Engineer at Stitch Fix, you will play a key role in building and maintaining the critical infrastructure that powers machine learning and AI across our organization.

Guidewire Software

ML Platform Engineer

San Mateo, CA · On-site

$124K - $210K/yr

Summary As an ML Platform Engineer, you'll help build and evolve the infrastructure that enables machine learning teams to develop, deploy, and operate models efficiently at scale. You'll work ...

Guidewire Software

ML Platform Engineer

San Mateo, CA · On-site

$124K - $210K/yr

Summary As an ML Platform Engineer, you'll help build and evolve the infrastructure that enables machine learning teams to develop, deploy, and operate models efficiently at scale. You'll work ...

Technogen, Inc.

Lead ML Platform Engineer

Charlotte, NC · On-site

$100K - $131K/yr

The Lead ML Platform Engineer provides architecture and hands-on engineering leadership for the Cortex Predictive AI Platform across cloud and on-premises environments. This role will establish and ...

Stitch Fix

ML Platform Engineer

$136K - $167K/yr

About the Role As an ML Platform Engineer at Stitch Fix, you will play a key role in building and maintaining the critical infrastructure that powers machine learning and AI across our organization.

Enexus Global

ML Platform Engineer

Charlotte, NC · On-site

ML-Ops / Platform Engineer Charlote, NC (Onsite) W2 only * Strong hands-on experience building and operating cloud-native applications and platforms on AWS and Azure, including VPC/VNet, IAM, Load ...

Hadrian Automation

ML Platform Engineer

Los Angeles, CA · On-site

$170 - $300/hr

... platform engineers. What We're Looking For * Track record building and operating production ML infrastructure across multiple models or inference workloads. * Strong production-level Python and SQL ...

Hadrian Automation

ML Platform Engineer

Los Angeles, CA · On-site

$170K - $300K/yr

... platform engineers. What We're Looking For * Track record building and operating production ML infrastructure across multiple models or inference workloads. * Strong production-level Python and SQL ...

Hadrian Automation, Inc

ML Platform Engineer

Los Angeles, CA · On-site

$170K - $300K/yr

... platform engineers. What We're Looking For * Track record building and operating production ML infrastructure across multiple models or inference workloads. * Strong production-level Python and SQL ...

bp

Senior AI/ML Platform Engineer

Denver, CO · On-site

$107K - $147K/yr

The Senior AI/ML Platform Engineer will help build and operate the technical foundation required to move AI/ML capabilities from project-based implementations into governed, observable, production ...

BP PLC

Senior AI/ML Platform Engineer

Denver, CO · On-site

$135 - $175/hr

The Senior AI/ML Platform Engineer will help build and operate the technical foundation required to move AI/ML capabilities from project-based implementations into governed, observable, production ...

BP PLC

$135 - $175/hr

The Senior AI/ML Platform Engineer will help build and operate the technical foundation required to move AI/ML capabilities from project-based implementations into governed, observable, production ...

Avride

Software Engineer - ML Platform

Austin, TX

We sit between Cloud Platform and ML engineers, turning low-level compute, storage, and networking primitives into an ML platform that teams actually use - scalable orchestration, distributed compute ...

Paramount

Senior ML Platform Engineer

Burbank, CA · On-site

$130K - $195K/yr

ML Platform Engineer Department : Data & Insight Group Location: New York City, Los Angeles, San Francisco We are seeking a Sr. ML Platform Engineer who is excited to deploy MLOps products that shape ...

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Ml Platform Engineer information

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$33

$63

$94

How much do ml platform engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for ml platform engineer in the United States is $63.95, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $73.80 per hour, depending on experience, location, and employer.

What is an ML Platform Engineer?

ML Platform Engineers are specialized software engineers who design, build, and maintain the infrastructure and tools needed to support the development, deployment, and scaling of machine learning models. They bridge the gap between data science and production engineering by automating model training, monitoring, versioning, and serving. Their work enables data scientists to focus on modeling while ensuring that ML solutions are reliable, reproducible, and scalable in real-world environments.

What skills and qualifications are needed to thrive as an ML Platform Engineer?

To thrive as an ML Platform Engineer, you need a strong background in computer science, software engineering, and machine learning concepts, often supported by a degree in a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), containerization (Docker, Kubernetes), CI/CD pipelines, and knowledge of ML frameworks (TensorFlow, PyTorch) are commonly required. Collaboration, problem-solving, and strong communication skills help you work efficiently with data scientists, engineers, and stakeholders. These skills ensure the development, scalability, and reliability of robust ML infrastructure that empowers teams to deploy and manage models effectively.

How does an ML Platform Engineer typically collaborate with data scientists and software engineers within a company?

ML Platform Engineers work closely with both data scientists and software engineers to streamline the process of developing, deploying, and maintaining machine learning models. They provide the infrastructure and tools necessary for data scientists to build and experiment with models efficiently, while ensuring seamless integration with production systems managed by software engineers. Regular communication, participation in cross-functional meetings, and shared project management tools are common ways teams collaborate. This close collaboration helps to bridge the gap between research and production, ensuring robust, scalable, and reliable ML solutions.

What is the difference between Ml Platform Engineer vs Data Scientist?

AspectML Platform EngineerData Scientist
Required credentialsBachelor's/Master's in CS, Engineering, or related; experience with cloud platformsBachelor's/Master's in Statistics, Math, or CS; strong programming skills
Work environmentBuilds and maintains ML infrastructure, collaborates with engineering teamsAnalyzes data, develops models, and interprets results
Industry usageTech companies, AI startups, enterprises deploying ML systemsResearch institutions, tech firms, data-driven organizations

ML Platform Engineers focus on developing and maintaining the infrastructure that supports machine learning models, while Data Scientists primarily analyze data and build models. Both roles often collaborate but serve different functions within the AI and data ecosystem.

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Ml Platform Engineer jobs near you
Infographic showing various Ml Platform Engineer job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, 47% Part Time, and 3% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $133,026 per year, or $64 per hour.

ML Platform Engineer

Stitch Fix

Remote

Full-time

Re-posted 12 days ago

Stitch Fix rating

6.7

Company rating: 6.7 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

33rd of 105 rated fashion retailers

Job description

About the Role

As an ML Platform Engineer at Stitch Fix, you will play a key role in building and maintaining the critical infrastructure that powers machine learning and AI across our organization. You will design, develop, and support scalable, resilient services and frameworks for ML model training and deployment, feature engineering and serving, candidate generation, AI agent deployment and observability, and other core platform capabilities.

In this role, you'll contribute to the day-to-day operations of the ML Platform team, ensuring the smooth functioning of existing systems while driving improvements. You'll collaborate closely with full-stack data scientists, offering consultation and support to help them unlock the full potential of our platform.

With significant autonomy, you'll have the opportunity to shape the future of ML and AI at Stitch Fix. Your ideas and expertise will drive improvements, codify best practices, and influence how we approach machine learning and AI systems at scale.

Responsibilities:

  • Collaborate with cross-functional teams, including data scientists, engineers, and business partners, to solve complex distributed systems and business challenges at scale.
  • Be part of a team with high visibility across the organization, driving impactful solutions that make a difference.
  • Share your ideas and help guide the team's investments toward high-value opportunities.
  • Foster a culture of technical collaboration and contribute to the development of scalable, resilient systems.
About You
  • You bring 3+ years of experience in software development, with a focus on data, ML, or AI infrastructure.
  • You have a Bachelor's degree in an engineering or computer science field.
  • You have a proven track record of building scalable, distributed production systems.
  • Your coding and design skills are exceptional. While Python and Golang are our primary tools, your overall engineering expertise and problem-solving abilities matter most.
  • You're proficient in leveraging big data, web, and AI technologies such as Kafka, Postgres, Redis, FastAPI, Ray, AnyScale, LangGraph, LangSmith or similar tools.
  • You have hands-on experience with AWS or other cloud-based providers.
  • You excel at thinking globally, developing solutions that address multiple needs while prioritizing business impact.
  • Your strong cross-functional communication skills enable you to simplify complex challenges and collaborate effectively with business partners to drive solutions forward.
Why you'll love working at Stitch Fix...
  • We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You'll bring these characteristics to life in everything you do at Stitch Fix.
  • We cultivate a community of diverse perspectives- all voices are heard and valued.
  • We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. 
  • We win as a team, commit to our work, and celebrate grit together because we value strong relationships.
  • We boldly create the future while keeping equity and sustainability at the center of all that we do. 
  • We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.
  • We offer comprehensive compensation packages and inclusive health and wellness benefits.

What Stitch Fix employees say

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