The role involves building a container platform, optimizing autoscaling, and enhancing model performance while ensuring a great developer experience. Responsibilities : • New hires may work on ...
The role involves building a container platform, optimizing autoscaling, and enhancing model performance while ensuring a great developer experience. Responsibilities : • New hires may work on ...
Machine Learning, Platform Engineer
$160K - $250K/yr
We are responsible for building a container platform, optimizing autoscaling, minimizing cold starts, achieving the best end-to-end model performance, and providing a best-in-class developer ...
Machine Learning, Platform Engineer
$160K - $250K/yr
We are responsible for building a container platform, optimizing autoscaling, minimizing cold starts, achieving the best end-to-end model performance, and providing a best-in-class developer ...
Machine Learning, Platform Engineer
San Francisco, CA · On-site
$160K - $250K/yr
We are responsible for building a container platform, optimizing autoscaling, minimizing cold starts, achieving the best end-to-end model performance, and providing a best-in-class developer ...
Machine Learning, Platform Engineer
San Francisco, CA · On-site
$160K - $250K/yr
We are responsible for building a container platform, optimizing autoscaling, minimizing cold starts, achieving the best end-to-end model performance, and providing a best-in-class developer ...
As a Machine Learning Platform Engineer, you will design and build scalable systems that support model training, feature computation, real-time inference, and experimentation. You'll work at the ...
As a Machine Learning Platform Engineer, you will design and build scalable systems that support model training, feature computation, real-time inference, and experimentation. You'll work at the ...
As a Machine Learning Platform Engineer, you will design and build scalable systems that support model training, feature computation, real-time inference, and experimentation. You'll work at the ...
As a Machine Learning Platform Engineer, you will design and build scalable systems that support model training, feature computation, real-time inference, and experimentation. You'll work at the ...
Staff Machine Learning Platform Engineer
$246.50K - $339K/yr
About this role As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the ...
Staff Machine Learning Platform Engineer
$246.50K - $339K/yr
About this role As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the ...
Senior Machine Learning Platform Engineer
Irvine, CA · On-site
$112.20K - $154K/yr
... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... Proven experience with distributed systems , cloud platforms (AWS preferred), containerization and ...
Senior Machine Learning Platform Engineer
Irvine, CA · On-site
$112.20K - $154K/yr
... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... Proven experience with distributed systems , cloud platforms (AWS preferred), containerization and ...
Senior Machine Learning Platform Engineer
$112.20K - $154K/yr
... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... Proven experience with distributed systems , cloud platforms (AWS preferred), containerization and ...
Senior Machine Learning Platform Engineer
$112.20K - $154K/yr
... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... Proven experience with distributed systems , cloud platforms (AWS preferred), containerization and ...
Senior Machine Learning Platform Engineer
$112.20K - $154K/yr
... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... Proven experience with distributed systems , cloud platforms (AWS preferred), containerization and ...
Quick apply
Senior Machine Learning Platform Engineer
$112.20K - $154K/yr
... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... Proven experience with distributed systems , cloud platforms (AWS preferred), containerization and ...
Senior Machine Learning Engineer, Platform
$229.50K - $367.10K/yr
About the Role We seek an outstanding, creative, and passionate Machine Learning Platform Engineer to join Roku's Recommendation team. In this role, you will design, build, and scale robust ...
Senior Machine Learning Engineer, Platform
$229.50K - $367.10K/yr
About the Role We seek an outstanding, creative, and passionate Machine Learning Platform Engineer to join Roku's Recommendation team. In this role, you will design, build, and scale robust ...
Machine Learning Engineer
San Mateo, CA · On-site +1
Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...
Machine Learning Engineer
San Mateo, CA · On-site +1
Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...
Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...
Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...
... security platform. Organizations are increasingly building complex ecosystems of AI models ... As a Principal Machine Learning Inference Engineer, you will serve as a technical authority and ...
... security platform. Organizations are increasingly building complex ecosystems of AI models ... As a Principal Machine Learning Inference Engineer, you will serve as a technical authority and ...
Senior Machine Learning Engineer, Platform
San Jose, CA · On-site
$229.50K - $367.10K/yr
About the Role We seek an outstanding, creative, and passionate Machine Learning Platform Engineer to join Roku's Recommendation team. In this role, you will design, build, and scale robust ...
Senior Machine Learning Engineer, Platform
San Jose, CA · On-site
$229.50K - $367.10K/yr
About the Role We seek an outstanding, creative, and passionate Machine Learning Platform Engineer to join Roku's Recommendation team. In this role, you will design, build, and scale robust ...
ML Platform Engineer
Sunnyvale, CA · On-site
We are looking for highly motivated and skilled Machine Learning Platform Engineers to join our team in the VCV group and help us enable that potential for realtime human understanding on Apple ...
ML Platform Engineer
Sunnyvale, CA · On-site
We are looking for highly motivated and skilled Machine Learning Platform Engineers to join our team in the VCV group and help us enable that potential for realtime human understanding on Apple ...
ML Platform Engineer
$147.40K - $272.10K/yr
We are looking for highly motivated and skilled Machine Learning Platform Engineers to join our team in the VCV group and help us enable that potential for realtime human understanding on Apple ...
ML Platform Engineer
$147.40K - $272.10K/yr
We are looking for highly motivated and skilled Machine Learning Platform Engineers to join our team in the VCV group and help us enable that potential for realtime human understanding on Apple ...
You will work closely with other Machine Learning Engineers, Data Scientists and Software Engineers ... Experience working with public cloud platforms (GCP, AWS, or Azure). * Experience with version ...
You will work closely with other Machine Learning Engineers, Data Scientists and Software Engineers ... Experience working with public cloud platforms (GCP, AWS, or Azure). * Experience with version ...
... and developers promote and monetize their work. Today, our technology and services power ... The Machine Learning Platform team's mission is to empower teams at Apple Ads to easily and rapidly ...
... and developers promote and monetize their work. Today, our technology and services power ... The Machine Learning Platform team's mission is to empower teams at Apple Ads to easily and rapidly ...
Senior Machine Learning Engineer
$148.75K - $361K/yr
At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the ... We're looking for strong engineers well versed with modern large scale machine learning platforms ...
Senior Machine Learning Engineer
$148.75K - $361K/yr
At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the ... We're looking for strong engineers well versed with modern large scale machine learning platforms ...
Senior/Staff Software Engineer - Machine Learning Platform (Inference)
Menlo Park, CA · On-site
$144.40K - $190.30K/yr
They are seeking outstanding technical leaders to join their Machine Learning Platform team to build next-generation solutions that enable customers to handle machine learning and deep learning ...
Senior/Staff Software Engineer - Machine Learning Platform (Inference)
Menlo Park, CA · On-site
$144.40K - $190.30K/yr
They are seeking outstanding technical leaders to join their Machine Learning Platform team to build next-generation solutions that enable customers to handle machine learning and deep learning ...
Machine Learning Platform Engineer information
What is a Machine Learning Platform Engineer job?
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 are the key skills and qualifications needed to thrive in the Machine Learning Platform Engineer position, and why are they important?
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 does a typical day look like for a Machine Learning Platform Engineer?
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.
More about Machine Learning Platform Engineer jobs
What are popular job titles related to Machine Learning Platform Engineer jobs in California? For Machine Learning Platform Engineer jobs in California, the most frequently searched job titles are:
- Machine Learning Engineer New Grad
- Machine Learning Engineer Biotech
- Google Cloud Machine Learning Engineer
- Lead Machine Learning Engineer
- Urgently Hiring Machine Learning Engineer New Grad
- Remote Senior Machine Learning Engineer
- Senior Machine Learning Researcher
- Senior Machine Learning Engineer Biotech
- Data Science Machine Learning
- Machine Engineer
What job categories do people searching Machine Learning Platform Engineer jobs in California look for? The top searched job categories for Machine Learning Platform Engineer jobs in California are:
Full-time
Posted 10 days ago
Job description
Job Summary:
Together AI is a research-driven artificial intelligence company on a mission to significantly lower the cost of modern AI systems. The role involves building a container platform, optimizing autoscaling, and enhancing model performance while ensuring a great developer experience.
Responsibilities:
• New hires may work on multi-cluster orchestration, portfolio optimization, predictive autoscaling, control panes, model bring-up, model optimization, APIs for managing deployments, inference worker SDKs, and CLI tools.
• Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure
• Partner with product teams to understand functional requirements and deliver solutions that meet business needs
• Write clear, well-tested, and maintainable software and IaC for both new and existing systems
• Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance
Qualifications:
Required:
• 5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems.
• Experience running serverless inference platforms, doing model bring-up on short notice, being on call, or running a cloud provider is a very big plus
• Good taste and ability to thoughtfully discuss how what you’ve built has failed over time
• Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources
• Excellent understanding of low level operating systems concepts including concurrency, networking and storage, performance and scale
• Expert-level programmer in one or more of Python, Golang, Rust, C++, or Haskell
• Proficiency in writing and maintaining Infrastructure as Code (IaC) using tools like Terraform
• Experience with Kubernetes internals or other container orchestration systems
• Sound judgement for when to use and when to not use LLMs for code
• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
• Writing-heavy roles or companies are a plus
Company:
Together AI is a cloud-based platform designed for constructing open-source generative AI and infrastructure for developing AI models. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Together AI is a research-driven artificial intelligence company on a mission to significantly lower the cost of modern AI systems. The role involves building a container platform, optimizing autoscaling, and enhancing model performance while ensuring a great developer experience.
Responsibilities:
• New hires may work on multi-cluster orchestration, portfolio optimization, predictive autoscaling, control panes, model bring-up, model optimization, APIs for managing deployments, inference worker SDKs, and CLI tools.
• Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure
• Partner with product teams to understand functional requirements and deliver solutions that meet business needs
• Write clear, well-tested, and maintainable software and IaC for both new and existing systems
• Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance
Qualifications:
Required:
• 5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems.
• Experience running serverless inference platforms, doing model bring-up on short notice, being on call, or running a cloud provider is a very big plus
• Good taste and ability to thoughtfully discuss how what you’ve built has failed over time
• Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources
• Excellent understanding of low level operating systems concepts including concurrency, networking and storage, performance and scale
• Expert-level programmer in one or more of Python, Golang, Rust, C++, or Haskell
• Proficiency in writing and maintaining Infrastructure as Code (IaC) using tools like Terraform
• Experience with Kubernetes internals or other container orchestration systems
• Sound judgement for when to use and when to not use LLMs for code
• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
• Writing-heavy roles or companies are a plus
Company:
Together AI is a cloud-based platform designed for constructing open-source generative AI and infrastructure for developing AI models. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.
About Together AI
Sourced by ZipRecruiter
Industry
Internet and it
Company size
51 - 200 Employees
Headquarters location
San Francisco, CA, US
Year founded
2022