Note: The job is a remote job and is open to candidates in USA. 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

Skills

• 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

Benefits

• Industry-leading training and development opportunities
• The chance to work in a global, diverse culture with offices in 9 countries
• Inclusive culture that is grounded in our Company's purpose
• A competitive total rewards package including a base salary determined based on the role, experience, skill set, and location
• Discretionary incentive compensation may be awarded in recognition of individual achievements and contributions for those in eligible roles
• A range of benefits and programs to meet employee needs, based on eligibility

Company Overview

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