Acceler8 Talent
Entry Level Software Programmer / Developer (.NET, C#)
Acceler8 Talent - San Francisco
Work at Acceler8 Talent
Overview
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Overview
Senior Software Engineer (AI Infrastructure / MLOps)
Location: San Francisco (3 days per week in office)
We are seeking a Senior Software Engineer (AI Infrastructure / MLOps) to join a pioneering AI startup focused on enhancing data quality for machine learning. This role offers the chance to work on large-scale web applications and tackle complex challenges in a rapidly growing field. If you are experienced in building distributed systems and cloud infrastructure, this position is
Our company, founded by MIT PhDs with experience from top tech firms, specializes in developing advanced tools for data-centric AI. We address common data issues and improve the reliability of machine learning models by offering innovative solutions for data quality. Our startup operates at the cutting edge of data science and AI, and we are dedicated to transforming the way data is managed and utilized.
As a Senior Software Engineer (AI Infrastructure / MLOps), you will be responsible for developing and maintaining our flagship web application, which is built on sophisticated ML algorithms. You will manage cloud infrastructure for data ingestion, model training, and data analysis. This role involves building and scaling systems from the ground up, rather than working with pre-built solutions found in larger tech companies.
You will collaborate with other engineers to design and implement cloud-based solutions, addressing challenges such as model deployment and managing large datasets. Annual Travel Stipend: Comprehensive coverage including dental and vision.
Support for staying current with the latest in ML and software innovations.
Competitive Salary: $180,000 to $250,000, with potential equity and regular opportunities for raises based on performance.
Orchestrate cloud infrastructure to support data and machine learning pipelines for our SaaS platform.
Design, develop, deploy, and maintain large-scale software systems using a modern tech stack.
At least 5+ years of experience as a Senior Software Engineer (AI Infrastructure / MLOps) with proven experience in developing and deploying web applications.
Experience with AWS , Docker , Kubernetes , and modern databases.
Proficiency in DevOps tools such as Ansible , Terraform , and Jenkins .
Strong background in distributed systems and cloud infrastructure .
Join us as a Senior Software Engineer (AI Infrastructure / MLOps) and play a crucial role in advancing our data-centric AI solutions. Apply today to help build the future of AI and data management.
Location: San Francisco (3 days per week in office)
We are seeking a Senior Software Engineer (AI Infrastructure / MLOps) to join a pioneering AI startup focused on enhancing data quality for machine learning. This role offers the chance to work on large-scale web applications and tackle complex challenges in a rapidly growing field. If you are experienced in building distributed systems and cloud infrastructure, this position is
Our company, founded by MIT PhDs with experience from top tech firms, specializes in developing advanced tools for data-centric AI. We address common data issues and improve the reliability of machine learning models by offering innovative solutions for data quality. Our startup operates at the cutting edge of data science and AI, and we are dedicated to transforming the way data is managed and utilized.
As a Senior Software Engineer (AI Infrastructure / MLOps), you will be responsible for developing and maintaining our flagship web application, which is built on sophisticated ML algorithms. You will manage cloud infrastructure for data ingestion, model training, and data analysis. This role involves building and scaling systems from the ground up, rather than working with pre-built solutions found in larger tech companies.
You will collaborate with other engineers to design and implement cloud-based solutions, addressing challenges such as model deployment and managing large datasets. Annual Travel Stipend: Comprehensive coverage including dental and vision.
Support for staying current with the latest in ML and software innovations.
Competitive Salary: $180,000 to $250,000, with potential equity and regular opportunities for raises based on performance.
Orchestrate cloud infrastructure to support data and machine learning pipelines for our SaaS platform.
Design, develop, deploy, and maintain large-scale software systems using a modern tech stack.
At least 5+ years of experience as a Senior Software Engineer (AI Infrastructure / MLOps) with proven experience in developing and deploying web applications.
Experience with AWS , Docker , Kubernetes , and modern databases.
Proficiency in DevOps tools such as Ansible , Terraform , and Jenkins .
Strong background in distributed systems and cloud infrastructure .
Join us as a Senior Software Engineer (AI Infrastructure / MLOps) and play a crucial role in advancing our data-centric AI solutions. Apply today to help build the future of AI and data management.