$160K - $250K/yr
Machine Learning, Platform Engineer San Francisco About the Role Our team focuses on enabling custom models and dedicated inference on Together. We are responsible for building a container platform ...
$160K - $250K/yr
Machine Learning, Platform Engineer San Francisco About the Role Our team focuses on enabling custom models and dedicated inference on Together. We are responsible for building a container platform ...
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 ...
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 ...
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 ...
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 ...
Machine Learning Platform Engineer Chime's Machine Learning Platform (MLP) team builds and operates the infrastructure, tooling, and developer experience that powers machine learning across the ...
New
Machine Learning Platform Engineer Chime's Machine Learning Platform (MLP) team builds and operates the infrastructure, tooling, and developer experience that powers machine learning across the ...
New
Software Engineer, Machine Learning Platform San Francisco, CA, USA About the Role Chime's Machine Learning Platform (MLP) team builds and operates the infrastructure, tooling, and developer ...
Software Engineer, Machine Learning Platform San Francisco, CA, USA About the Role Chime's Machine Learning Platform (MLP) team builds and operates the infrastructure, tooling, and developer ...
Irvine, CA · On-site
$110K - $152K/yr
The Senior Machine Learning Platform Engineer will design and manage scalable ML infrastructure, develop cloud-based pipelines, and ensure the reliability of MLOps workflows while mentoring junior ...
Irvine, CA · On-site
$110K - $152K/yr
The Senior Machine Learning Platform Engineer will design and manage scalable ML infrastructure, develop cloud-based pipelines, and ensure the reliability of MLOps workflows while mentoring junior ...
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 ...
San Francisco, CA · On-site
$246K - $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 ...
San Francisco, CA · On-site
$246K - $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 ...
$112K - $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 ...
$112K - $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 ...
Irvine, CA · On-site
$112K - $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 ...
Irvine, CA · On-site
$112K - $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 ...
$112K - $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 ...
$112K - $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 ...
Irvine, CA · On-site
$112K - $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 ...
Irvine, CA · On-site
$112K - $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 ...
$112K - $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
$112K - $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 ...
Irvine, CA · On-site
$110K - $152K/yr
The Senior Machine Learning Platform Engineer will own the infrastructure for the Field-insight Foundation Model, ensuring its transition from research to production while optimizing performance and ...
Irvine, CA · On-site
$110K - $152K/yr
The Senior Machine Learning Platform Engineer will own the infrastructure for the Field-insight Foundation Model, ensuring its transition from research to production while optimizing performance and ...
$123K - $169K/yr
Job Title Disabled veteran A veteran who served on active duty in the U.S. military and is entitled to disability compensation (or who but for the receipt of military retired pay would be entitled to ...
$123K - $169K/yr
Job Title Disabled veteran A veteran who served on active duty in the U.S. military and is entitled to disability compensation (or who but for the receipt of military retired pay would be entitled to ...
In this role you will work with engineers and scientists across many Apple products to bring their machine learning investigations onto our platform for privacy-preserving machine learning. You will ...
In this role you will work with engineers and scientists across many Apple products to bring their machine learning investigations onto our platform for privacy-preserving machine learning. You will ...
Description In this role you will work with engineers and scientists across many Apple products to bring their machine learning investigations onto our platform for privacy-preserving machine ...
Description In this role you will work with engineers and scientists across many Apple products to bring their machine learning investigations onto our platform for privacy-preserving machine ...
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 ...
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 ...
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 ...
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.
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.
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.
$160K - $250K/yr
Other
Medical
Posted yesterday
San Francisco
About the RoleOur team focuses on enabling custom models and dedicated inference on Together. 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 experience with great tooling. We often focus on video or audio generation across the stack: CUDA kernels, pytorch optimization, inference engines, container orchestration, queueing theory, etc. An ideal candidate will be great at profiling/optimization but know the word kubernetes, or be intimately familiar with multi-cluster scheduling and have some sense of ML bottlenecks.
ResponsibilitiesTogether AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.
CompensationWe offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $250,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal OpportunityTogether AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
Sourced by ZipRecruiter
Internet and it
51 - 200 Employees
San Francisco, CA, US
2022
