Gusto, Inc.13 days ago
Software Engineer, ML Platform
RUB 13,333–20,000per month · before tax
MARKET
15,900 ₽median for this role
Data Scientist · 115 jobs with disclosed pay
5,000half of the offers: 12,796–20,50043,793
At market · above 30% of offers
Denver
Responsibilities
- 01Build core components of our ML and AI Platform technical roadmap to design and build MLOps solutions with automated pipelines and standardized processes to build, deploy, run, monitor, debug, and retrain ML and AI Models
- 02Develop, maintain, and enhance frameworks for machine learning model development and deployment
- 03Collaborate with the ML/AI builders and application owners to determine business requirements and SLAs for API-enabled services
- 04Develop, maintain, and enhance infrastructure supporting machine learning services
- 05Support the development of new patterns for the deployment of machine learning models with CI/CD pipelines and automated testing
- 06Apply AI tools as a regular part of your engineering workflow, and bring an AI-native lens to engineering and product decisions: identify where AI can reduce effort, simplify complex workflows, and surface proactive guidance
- 07Adopt the latest best practices for using AI technologies across all aspects of technical development
Requirements
- 01At least 5+ years of software engineering experience (Python, Ruby or Java)
- 02Demonstrated experience designing and developing infrastructure and platform services for machine learning lifecycle, such as feature stores, model development, deployment, and observability tools and solutions
- 03Experience with at least one of the major cloud platforms (AWS preferred but not required)
- 04Curiosity and experimentation with emerging AI frameworks, applying and sharing best practices to evaluate and scale AI use safely across teams
- 05Comfort with AI-assisted development tools and a habit of staying current with emerging approaches to building software
What we offer
- 01Physical office spaces in Denver, San Francisco, and New York City
- 02Employees based in office locations expected to work from the office on designated days approximately 2-3 days per week
- 03Secure, reliable, and consistent internet connection required when working remotely
- 04Competitive base pay, benefits, and equity (RSUs)