Sr. Machine Learning Engineer
United States of America
Full Time
6 days ago
H1B Sponsor Likely
Key skills
PythonSQLAgentic frameworks ADKAgentic frameworks LangChainAgentic development concepts SkillsAgentic development concepts ToolsAgentic development concepts CallbacksAgentic development concepts code executionAgentic development concepts token cachingAgentic development concepts compactionAgentic development concepts multi-agent orchestrationAgentic systems exposure MCPAgentic systems exposure A2A frameworksCloud native environments GCP BigQueryCloud native environments Cloud RunCloud native environments GKECloud native environments AWSAI/ML system development and scalingBackend and frontend software developmentData engineeringAPI developmentSystem designLLM-based development platforms ClaudeLLM-based development platforms CodexAlgorithmic problem solvingSecurity-conscious mindsetLarge scale high-performance systemsFull software development life-cycle (CI/CD)AIMachine LearningMLLLMClaudeLangChainAgenticPyTorchTensorFlowJAXData EngineeringAirflowAWSGCPGKECloud RunCachingCI/CDPrototypingCommunication
About this role
Revionics, an Aptos company, is seeking a Senior Machine Learning Engineer to join their team. The role involves designing, building, deploying, and evolving AI & ML systems, focusing on agentic capabilities and demand modeling, while collaborating with a skilled team of data scientists and engineers.
Responsibilities:
- Build out new features on our Science roadmap: Agentic AI as we introduce new capabilities to our agent such as product relationships, rules management, and scenario optimization; A2A communication protocol; predictive and decision-making AI as we build out our unified forecasting and optimization capabilities; and our push to modernize legacy features and functionality
- Work on full stack technology, from prototyping to production-ready software
- Work with product, other engineers, and data scientists to translate ideas into new products, services and features
- Expose and evangelize our Science team capabilities
Requirements:
- Bachelor's/Master's degree in a STEM field such as computer science
- Proficiency in Python, SQL, and agentic frameworks such as ADK or LangChain
- Proficiency with agentic development concepts such as Skills, Tools, Callbacks, code execution, token caching, compaction, multi-agent orchestration etc
- Experience exposing agentic systems using MCP or A2A frameworks
- Experience working in cloud native environments like GCP (BQ, Cloud run, GKE etc) or AWS
- Strong track record of developing and scaling AI/ML systems within software products and production systems
- Broader software development skills (backend/frontend, data engineering, APIs, system design, etc)
- Experience building scalable agentic systems in production
- Comfort with LLM-based development platforms such as Claude or Codex
- Strong algorithmic problem-solving skills and an analytical mindset
- Proactively security-conscious mindset
- Experience with large scale, high-performance systems and full software development life-cycle experience (CI/CD etc.)
- Enjoys tough technical challenges and is naturally intellectually curious
- Seeks to drive change and influence others through clear and effective communication
- Experience with modeling frameworks (e.g. Tensorflow, PyTorch, JAX)
- Experience with data orchestration tools such Airflow
- Exposure to on the fly code execution for large files
- Experience with data analysis / data science
- Ability to translate research work into practical proofs of concept