Job Description

Golden is looking for a ML Ops Engineer to help us build the world's knowledge engine and unlock data-native product experiences for organizations. This is a great opportunity to join an early stage startup and build a world changing product. As an early team member, you will be working in a startup environment with high autonomy and a rapid development pace.  Golden is building a knowledge graph for billions of entities and your work will help scale and maintain Golden's ML Ops and oversee reliability and best practices. We continuously deploy to AWS Fargate with Terraform and CircleCI. This role touches upon ML, data pipelines, microservices, and infrastructure. We rapidly iterate to make our product more robust and scalable. Your work will result in a world class product loved by millions of people across the globe. We are a remote first team working in time zones between San Francisco and Athens.   What You Will Be Doing Develop and maintain ML frameworks to support large-scale data ingestion, generation, and pipelining features. Implement ML Ops into the development process and assist in setting best practices to support scalable solutions.  Implement a robust system for measuring and optimizing the quality of deployed algorithms and models. Institute ML processes for model development with an emphasis on auditability, versioning, and data security. Monitor ML models in production to evaluate performance, model drift, and decay. Build ML pipelines and ensure ML data infrastructure can support various applications. Qualifications We Need Experience training, deploying, and monitoring end to end ML pipelines with extensive knowledge of metrics and ML best practices. Experience building and leading ML projects from beginning to end. Strong DevOps, Data, and ML background. Familiar with DevOps methodology in the Data and ML spaces. Experience building and maintaining CI/CD pipelines for ML use cases. You enjoy building, deploying, maintaining and monitoring ML solutions in production. Passion for producing high quality code, design, and architecture.  Bachelors in CS/EE or a related discipline. PhD or Masters preferred. We also consider exceptional applicants with other backgrounds including self-taught.  Bonus Points Experience with Transformers-based Language Models (fine-tuning, deployment inference). Knowledge of infrastructure testing tools such as Terratest. Serverless application development on AWS, Lambda, API Gateway, S3, DynamoDB or similar. ElasticSearch tuning and maintenance knowledge. Postgres tuning and maintenance knowledge. ELK stack or Logstash knowledge. About Golden Golden is on a mission to map human knowledge and accelerate discovery and education. We are building the world's first self-constructing knowledge database making it easier to explore and contribute to public and private knowledge. Golden leverages human effort by using machine intelligence to make the process of gathering and communicating knowledge simpler. Golden is venture-backed by a16z, Founders Fund, Gigafund and other top tier investors, and is led by Jude Gomila, a founder of Heyzap (YC ‘09, acquired for $45 million in 2016) and investor in over 200 startups. To learn more about Golden visit us at check out our blog or join the conversation at @Golden

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