Machine Learning Infrastructure Engineer - Remote Opportunity
About the Role
We are seeking a talented Machine Learning Infrastructure Engineer to join our innovative team. This remote position offers the opportunity to work with a well-funded AI startup that is revolutionizing real-time visual conversational AI. As a key member of our engineering team, you will help build and optimize the infrastructure that supports cutting-edge AI technologies.
What You'll Do
- Design and build scalable serving infrastructure for multimodal AI models.
- Optimize inference systems for latency, throughput, and cost efficiency.
- Architect real-time systems that support long-lived video and audio connections.
- Design and implement distributed data pipelines for large-scale processing and evaluation.
- Manage and optimize GPU clusters using Kubernetes and Terraform.
- Develop CI/CD, evaluation, and deployment systems for safe and reliable model iteration.
- Collaborate closely with ML researchers and product engineers to bring new models into production.
Requirements
- 2+ years of experience in building machine learning infrastructure or distributed systems.
- Strong experience in building or operating large-scale data pipelines.
- Experience supporting production services, including monitoring, incident response, and capacity planning.
- Proficiency in Python and either Rust or Go.
- Strong experience with Kubernetes, Terraform, and cloud infrastructure.
- Experience in fast-paced engineering environments.
- Experience with real-time systems, multimedia models, or GPU inference infrastructure is a strong plus.
What We Offer
- Competitive salary ranging from $200,000 to $300,000 annually.
- Equity options to share in the company's success.
- Relocation support and visa sponsorship available.
- Comprehensive benefits package including health insurance.
- Opportunity to work with a team of experts from leading AI labs and technology companies.
- Flexible remote work environment.
- Professional growth opportunities in a rapidly evolving field.
This role offers a unique opportunity to work with a cutting-edge AI startup focused on real-time visual conversational AI, providing competitive compensation and equity.
Who Will Succeed Here
Proficient in Python and Rust, with hands-on experience in building scalable machine learning pipelines and cloud infrastructure, particularly using Kubernetes and Terraform.
Self-motivated and disciplined remote worker who thrives in asynchronous communication environments, demonstrating strong time management skills to balance multiple tasks effectively.
Intermediate experience in deploying machine learning models in production environments, with a problem-solving mindset that embraces experimentation and iterative improvement.
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