ChatGPT Jobs · 3 hours ago
Senior Software Engineer, ML Operations
United States
Full-time
Remote
Senior Level
$125K/yr - $165K/yr
5+ years expBest Egg is a market-leading, tech-enabled financial platform helping people build financial confidence through a variety of installment lending solutions and financial health tools. The Senior Software Engineer, ML Operations will take ownership of an ML deployment system, collaborate with Data Scientists, and improve deployment pipelines to support faster and more efficient operations.
Computer Software
Responsibilities
Take ownership of an ML deployment system spanning multiple production environments and continue to research efficient and effective strategies
Improve, expand, and streamline our existing deployment pipelines to support faster deployments and automated model retraining
Collaborate with Data Scientists to understand model requirements and provide guidance to ensure seamless integration with production environments
Develop automations that empower data scientists to self-serve, remove manual steps from our processes, and streamline their training workflows
Build and maintain production-level inference environments, including low-latency real-time APIs and batch predictions, and monitor these environments to ensure uptime, resiliency, and latency SLAs are met
Work with modern CI/CD tools to deploy ML/AI models at scale in a production setting
Drive the deployment and optimization of custom AI and LLM models, supporting data scientists and AI engineers in fine-tuning, evaluating, and serving large language models for real-world use cases
Contribute to the infrastructure, pipelines, and monitoring needed for generative AI systems, including vector databases, prompt orchestration frameworks, and scalable inference services
Enjoy a great company culture rich in collaboration, teamwork, no politics, learning, and frequent wins
Qualification
Required
At least five (5) years of professional engineering experience or work program equivalents in a relevant field
Experience in operationalization of Data Science projects (MLOps) on AWS; specific experience with EKS, Lambda, Step Functions, and SageMaker
Experience designing, building, and operating container-based cloud infrastructure with Terraform and other infrastructure-as-code tools in a production setting
Experience in CI/CD pipeline implementation; experience with ArgoCD, Argo Workflows, and GitHub Actions a plus
Proficiency in Python for both ML and general software engineering tasks; good knowledge of Bash and Unix command line tools
Extensive knowledge of the machine learning development lifecycle and associated tooling; demonstrated experience with Metaflow, Flyte, Kubeflow, etc
Demonstrated experience building production-grade, RESTful APIs for ML products; experience building data scientist tooling a plus
Hands-on experience with AI model development, fine-tuning, or deployment—particularly with large language models (e.g., OpenAI, Anthropic, Hugging Face, or custom transformer-based models)
Knowledge of modern AI infrastructure tools such as vector databases (e.g., Pinecone, FAISS, or Weaviate), model-serving platforms, and prompt management frameworks
Ability to work in a fast-paced environment and strong technical communication skills
Enjoy a culture rich in direct communication, no politics, and continual learning—where we celebrate success and have fun too
Benefits
Pre-tax and post-tax retirement savings plans with a competitive company matching program
Generous paid time-off plans including vacation, personal/sick time, paid short-term and long-term disability leaves, paid parental leave, and paid company holidays
Multiple health care plans to choose from, including dental and vision options
Flexible Spending Plans for Health Care, Dependent Care, and Health Reimbursement Accounts
Company-paid benefits such as life insurance, wellness platforms, employee assistance programs, and Health Advocate programs
Other great discounted benefits include identity theft protection, pet insurance, fitness center reimbursements, and many more!
Company
ChatGPT Jobs
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2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase