Learning Process Engineer Jobs

PassiveLogic

Location:
United States, Salt Lake City

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

This is a career-defining opportunity to play a crucial role in a hyper-scale AI company that is transforming the future of autonomous systems, energy, and the built environment. We are looking for a Learning Process Engineer to design and implement the technical frameworks through which our Qortex engine learns, adapts, and improves. This role blends machine learning, data engineering, and graph-based knowledge modeling. You will architect the pipelines, feedback loops, and graph-driven logic that enable the system to continuously refine its performance.

Job Responsibility:

Architect feedback pipelines: Build and maintain data ingestion and labeling processes that transform user interactions into structured learning signals
Design graph-based knowledge structures: Model, update, and optimize workflows in a graph database (e.g., Neo4j, ArangoDB, Weaviate, or similar)
Implement adaptive logic: Use graph queries and embeddings to inform recommendations, predictions, and workflow adaptation
Integrate human-in-the-loop learning: Deploy mechanisms that incorporate user corrections and contextual feedback into graph representations and model updates
Collaborate with ML and software engineers: Define retraining strategies, model evaluation criteria, and experiment frameworks that leverage graph-based data
Automate performance monitoring: Develop dashboards and metrics for tracking how graph-driven learning impacts system accuracy, adoption, and efficiency

Requirements:

Technical background in computer science, AI/ML, data engineering, or knowledge systems
Experienced with graph databases (Neo4j, TigerGraph, Weaviate, Neptune), Python/C++, graph query languages (Cypher, Gremlin, GraphQL, SPARQL), graph ML/embeddings, and building ETL pipelines, event-driven systems, and real-time feedback loops
Understanding of feedback-driven model improvement, reinforcement learning, or adaptive systems
Experience working cross-functionally with engineers, designers, and product managers
Analytical mindset: ability to define success metrics, run experiments, and interpret results
Excellent communication skills and a collaborative, problem-solving approach
Background in process engineering, systems design, product operations, or applied AI/ML
Strong systems thinking: ability to model complex workflows and simplify them into actionable processes
Familiarity with human-in-the-loop learning, adaptive systems, or feedback-driven workflows
Proven experience: 5+ years in developing software with an ecosystem nature
Exceptional communication skills: Ability to craft narratives and messaging that resonate across different engineering and product teams
Organized and strategic: Skilled in planning and delivering in an agile manner
Collaborative mindset: Enjoy working across teams, contributing to integrated campaigns, and aligning event strategies with overall marketing goals
Adaptability: Comfortable in a fast-paced startup environment, eager to learn, iterate, and innovate
Problem solving: You own this role. When issues arise, be the empowered force that solves them, rolling-up

Nice to have:

Experience with LLM fine-tuning, RAG (retrieval-augmented generation), or hybrid search (vector + graph)
Knowledge of MLOps workflows and deploying AI systems in production
Familiarity with ontologies, semantic reasoning, or graph-based recommendation systems
Experience in knowledge work automation, intelligent assistants, or productivity tools
Comfort with data analysis (SQL, Python, or BI tools) to validate process impact
Exposure to UX research or behavior-driven design

What we offer:

Competitive compensation
Generous equity share package
Medical, dental and vision coverage
Disability and life Insurance options
Flex PTO
Team-building events
Free catered lunch in the office Monday — Friday
Free ski pass (We are at the base of Big Cottonwood Canyon)
Free National Park pass
Onsite Gym

Additional Information:

Job Posted:
December 11, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Learning Process Engineer