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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff ML/AI Platform Engineer - **Company:** BetterHelp - **Location:** San Jose, CA, United States (Remote available) - **Experience:** Experienced - **Salary:** $200,000.0 - $245,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon S3, Bash Shell, Cloud Computing, Computer Programming, Continuous Delivery, Continuous Integration, Information Engineering, Data Structures, Data Stores, DevOps, Distributed Systems, Amazon DynamoDB, Infrastructure as a Service (IaaS), Integrated Development Environments, Unix Shell, Machine Learning, Object-Oriented Software Development, Open Source Technology, Requirements Management, Software Deployment, Software Engineering, Data Processing, Load Balancing, Cloud Platform System, Autoscaling, Large Language Models, Snowflake, Electronic Medical Records, AWS Lambda, Cloudformation, Build Management, AI Platforms, Information Technology, Star Schema, AWS Fargate, Data Management, Machine Learning Operations, Data Pipelines, Software Library, Docker - **Published:** August 23, 2026 - **Apply:** https://www.careerbuilder.com/job-details/staff-ml-ai-platform-engineer--d57e3761-eec4-4201-bd43-e358d87c0789 ## About the Role * 3+ years of experience in machine learning platform systems * Experience with autoscaling, and autoscaling such as load balancing * Solid understanding of distributed computing and proven experience with them * Superb written and oral communication skills * Experience integrating ai/machine learning models in production * Strong background in shell or bash scripting * Experience building CICD pipelines * Experience with infrastructure as service tools such as terrafrom, cloud formation * Experience working with AWS Lambda, ECS, ECR, Sagemaker or other cloud based platforms * Prior experience in production deployments on AWS Lambda, Fargate, EMR, or Airflow * Experience with development environment and deployments using Docker * Strong knowledge of computer science fundamentals, including object oriented programming, data structures, and algorithms * Experience in writing data pipeline and machine learning libraries and utilities * Willingness to learn new technologies * Willingness to mentor junior ml engineers and data scientists * Comfortable in a high-growth, fast-paced and agile environment Bonus (Great to have, but not required) * Experience with building and training machine learning models * Experience hosting open source AI models and LLMs * Experience working and productioning feature stores * Experience with Data stores such as S3, Snowflake, and DynamoDB, AWS Lambda, Algorithms, Amazon Simple Storage Service (S3), Artificial Intelligence (AI), Autoscaling, Bash Scripting, Best Practices, Business Growth, Business Strategy, Cloud Computing, Communication Skills, Community Support, Computer Science, Continuous Deployment/Delivery, Continuous Integration, DNA, Data Management, Data Modeling, Data Processing, Data Science, Data Structures, DevOps, Distributed Computing, Docker, Electronic Medical Records, Healthcare, Identify Issues, Infrastructure as a Service (IaaS), Internet/Online Service, Load Balancing, Machine Learning, Marketing Strategy, Mentoring, Object Oriented Programming (OOP), Open Source, Politics, Presentation/Verbal Skills, Product Marketing, Prototyping, Psychiatry and Mental Health, Requirements Management, Snowflake Schema, Software Engineering, Startup, Unix Shell Programming, Willing to Travel, Work From Home, Writing Skills ## Description As a Staff ML/AI Platform Engineer on the team, you will be responsible for doing platform work to help productionizing and scale AI/ML products. You will also assist ML Engineers and Data Scientists in deploying their code into production. You will have a pivotal role in our organization and you will work closely with DevOps Engineering, Software Engineers, and Data Engineers. This is an exceptional opportunity for those who want to lead machine learning efforts and make an impact while working in one of the fastest growing businesses in the bay area. This role will work closely with the Sr. Director of ML/Data Engineering and will have an important role in setting up the direction of the machine learning efforts, hiring successful talent, and mentoring junior data scientists and engineers. What will you do? * Design, prototype and productionize scalable AI/machine learning models * Play a critical in setting up the best practices in machine learning, setting direction of the machine learning platform * Develop frameworks, pipelines, libraries, utilities and tools that process massive data for ML tasks * Partner with ML engineers and data scientists to troubleshoot and optimize complex ML pipelines * Work with product managers and business partners to gather requirements for machine learning models * Build model deployment platform that can simplify implementing new models * Build end-to-end reusable pipelines from data acquisition to model output delivery * Mentor and guide junior data scientists to deploy their models into production * Design & Build ML (engineering) solutions that unlock new ML modeling capabilities for BetterHelp What will you NOT do? * You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success. * You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do. * You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here! * You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. 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