Machine Learning Engineer developing and deploying computer vision models for Invision AI’s 3D digital - twin platform. Optimizing ML systems for real - world edge devices and transportation applications.
About the role
- Senior Machine Learning Engineer on the AI Core team designing and deploying ML models for AI-driven applications. Leading projects in machine learning, agentic reasoning, and large-scale systems.
Responsibilities
- Lead the design, development, and deployment of novel agentic systems and core machine learning models
- Execute data analysis, error analysis, and rigorous experimentation to drive model improvements
- Design and implement the end-to-end machine learning pipeline (MLOps)
- Work with large-scale datasets for data wrangling and feature engineering
- Apply machine learning and distributed systems principles in production
- Own ML models and systems through their full lifecycle
Requirements
- 8+ years of professional Machine Learning / AI engineering experience
- 5+ years of experience with advanced Python development
- Bachelor’s degree in Computer Science, Machine Learning, or related discipline, or equivalent practical experience
- Expertise in designing, training, and evaluating Machine Learning models
- Expertise with building agentic systems and leveraging LLMs, retrieval-augmented generation (RAG), and sophisticated prompting techniques
- Proficiency with popular Machine Learning frameworks and MLOps tools
- Strong understanding of data wrangling, feature engineering, and data validation techniques for large-scale datasets
- Proficiency with advanced Python concepts
- Proficiency with unix systems and cloud platforms
Benefits
- Workday Bonus Plan
- role-specific commission/bonus
- annual refresh stock grants
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Machine learning economist building causal systems for Instacart’s grocery delivery marketplace. Developing pricing, logistics, advertising, and incentive models.
Senior AI/ML Engineer architecting enterprise Agentic AI orchestration platforms for IT services. Building modular agent workflows with Claude, LangGraph, RAG, vector databases, and FastAPI.
Entry - level ML Engineer building production machine learning and generative AI systems for Yelp’s local - business platform. Developing pipelines, training models, and deploying scalable applications.
Associate Machine Learning Engineer developing and deploying LLM and Agentic AI solutions for Manulife’s global financial services operations. Building data pipelines, APIs, and responsible AI systems.
ML Ops Engineer building data pipelines, datasets, and training workflows for AeroVect’s autonomous ground - handling systems. Improving perception tooling, model diagnostics, and cloud efficiency.
Staff Model Risk Specialist governing machine learning and GenAI applications for Upstart, an AI lending marketplace. Evaluating model risks, controls, monitoring, and regulatory governance for Upstart Bank.
Student machine learning software engineer building end - to - end AI solutions at RBC Borealis, Royal Bank of Canada’s AI and data innovation group. Collaborating with researchers and business teams on algorithms, distributed data processing, and production - ready software.
Senior Machine Learning Engineer building causal and decision systems for CSC Generation’s consumer businesses. Developing pricing and other commercial automation using experimentation, uncertainty, and policy learning.
Senior Deep Learning Engineer developing player - tracking, evaluation, and forecasting models for SumerSports’ football intelligence platform. Driving research threads into production for NFL and NCAA teams.