- Build and maintain high-quality systems with a focus on scalability and efficiency
- Collaborate with cross-functional teams to drive machine learning projects from research to implementation
- Lead by example, advocating for best practices and long-term solutions
- Work with a range of technologies, including TensorFlow, PyTorch, xgboost, pandas, and more
- 6+ years of experience building systems, with a focus on machine learning and data analysis
- Proficiency in Python and experience with similar tools and technologies
- Proven track record of building scalable, efficient, automated processes for large-scale data analyses and model development
- Experience leading cross-functional machine learning projects
- Kubernetes hosted in AWS's EKS
- Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
- Java / Spring Boot microservices, built with Gradle
- React and TypeScript frontend, with GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
- Custom and open-source machine learning models, built with Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas
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Lead Machine Learning Engineer - California, United States - People In AI
2 weeks ago
Description
Staff / Tech Lead - Machine Learning Engineer
$275,000 Base Salary + $750K equity (RSU 4-year vest + annual refreshers)
Series E Unicorn (IPO is targeted soon)
San Francisco, CA (hybrid 3 days in office)
Job Summary:
You will join a 10-strong ML team looking to double in size by the end of the year. You will be a tech lead of a group of talented IC MLEs who build machine-learning models that answer complex business questions. Typical problems are ranking, recommendation, customer churn, propensity, etc.
An ideal background is Software Engineering, end-to-end Machine Learning Engineering, and great problem-solving skills
About the Role:
Requirements:
Tech Stack:
People In AI is a specialist staffing agency. We support growing, data-driven businesses by supplying them with top talent. Follow us on LinkedIn for more jobs and updates.
