Staff Software Engineer, Machine Learning

Posted 13 days agoViewed

💎 Seniority level: Staff, 5+ years of DevOps experience, 2+ years of experience in MLOps

📍 Location: United States

🔍 Industry: Mental healthcare technology

⏳ Experience: 5+ years of DevOps experience, 2+ years of experience in MLOps

🪄 Skills: AWSPythonDynamoDBCI/CDTerraform

Educational Background: Bachelor's or Master’s degree in Computer Science, Engineering, or related field, or equivalent experience.
Skills: Exceptional problem-solving, strong communication skills, ability to influence decisions.
Experience: Proven track record in designing and delivering robust services.
DevOps Skills: 5+ years of experience, expertise in AWS services, and proficiency with IaC tools.
ML Engineering Skills: 2+ years in MLOps, managing machine learning systems, and proficiency in Python.
Preferred Skills: Knowledge of AI/ML technologies and experience with Large Language Models.

Shape ML Platform Architecture: Drive the design, development, and evolution of the internal ML platform.
Engineer Scalable Systems: Build and support scalable and multi-component data and ML systems.
Automated Model Lifecycle Management: Develop frameworks for continuous retraining of production models.
Collaborative Problem-Solving: Partner with cross-functional teams to align technical decisions.
Technical Leadership: Serve as a mentor and expert in AI/ML engineering.
Champion Code Quality: Advocate for high-quality engineering standards.

Posted 2 months ago

📍 Canada, United States, Philippines

🔍 Home management services

🏢 Company: Thumbtack👥 1001-5000💰 $275,000,000 Series G over 3 years ago🫂 Last layoff about 2 years agoHome Services Local Service Industry Professional Services

🔧 Requirements

8+ years of engineering experience with significant focus on distributed systems.
4+ years of hands-on experience building ML infrastructure or ML platforms at scale.
Deep expertise in at least one major programming language; proficiency in core stack (Go, Python) preferred.
Proven track record of technical leadership on complex, cross-functional projects.
Strong architectural skills with experience designing scalable, reliable distributed systems.
Deep understanding of ML workflows, common frameworks, and operational challenges.
Experience mentoring teams and driving engineering excellence.
Track record of making strategic technical decisions with organization-wide impact.

💡 Responsibilities

Define and drive the technical vision and architecture for Thumbtack's next-generation ML infrastructure.
Lead cross-functional initiatives spanning engineering, data science, and product teams to build scalable, enterprise-grade ML systems.
Architect and oversee implementation of critical ML infrastructure components including model serving systems and RAG systems that can scale.
Establish technical standards and best practices for ML engineering across the organization.
Mentor and provide technical leadership to engineering teams on ML infrastructure best practices.
Partner with senior leadership to align ML infrastructure capabilities with business objectives.

AWSPythonGCPMachine LearningPyTorchGoTensorflow

Posted 2 months ago