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Senior Applied Scientist, Parts Intelligence & Inventory Optimization

MaintainXSan FranciscoEngineering
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Salary
$131,400 - $236K USD
Job type
Full-time
Work mode
Remote
Posted
4 Sept 2026
Status
Open · checked 7d ago

About this role

Role Overview

The Senior Applied Scientist position at MaintainX in San Francisco involves driving the intelligence layer behind the Parts Agent on the Inventory and EAM roadmap. This full-time remote opportunity suits an experienced data scientist or engineer with a strong quantitative background who wants to build decision models and AI tools for enterprise maintenance teams.

Key Responsibilities

Build, own, and evolve optimization and machine learning models that power reorder point prediction, demand forecasting, economic order quantity, and multi-site stock balancing.
Design vendor lead time modeling, proactive stockout alerting, substitution graph traversal, and criticality-weighted safety stock.
Create and maintain APIs and tools connecting these models to GenAI agent workflows, including structured input and output and tool calling.
Collaborate with product management and design to transform real-world inventory challenges into manageable models.
Engage with enterprise users through pilot deployments and design partnerships to incorporate feedback into the models.
Maintain the surrounding Python service to ensure reliability, observability, performance, and testing.
Integrate parts intelligence with the wider platform by utilizing historical purchasing and usage data to enhance model inputs.

Requirements

Five or more years of professional data science or software engineering experience focusing on optimization, machine learning, or forecasting systems shipped to users.
Proficiency in at least one optimization paradigm such as simulation, LP and MILP, or stochastic programming, alongside practical demand forecasting or inventory management experience.
Production-level Python service engineering capabilities encompassing APIs, profiling, async programming, testing, and observability.
Academic background in Operations Research, Supply Chain, Statistics, Industrial Engineering, or a related quantitative field.
History of iterating on data-driven systems based on direct user feedback and real-world results.
Product delivery mindset centered on operator outcomes and comfort working through ambiguity.
Familiarity with GenAI tooling like prompt design for constrained generation, LLM tool calling, and structured output.

Nice to Have

Experience at a product company delivering inventory management, procurement optimization, or supply chain solutions at scale.
Knowledge of learning-augmented optimization utilizing historical consumption or purchasing data to estimate constraint weights, lead times, or priors.
Domain knowledge in manufacturing supply chains, spare parts management, MRO inventory, or field service logistics.
Technical leadership experience or a desire to grow into a tech-lead role on the team.

Skills and Tools

Python
LLMs
Optimization Paradigms (LP/MILP, Simulation, Stochastic Programming)
Machine Learning Systems
Demand Forecasting
APIs and Service Engineering

Salary and Benefits

Base pay ranges from an annual salary of $131,400 to $236,000 USD. Additional compensation components may include equity, an annual bonus, and commission depending on the position. United States employees receive Autodesk benefits, while Canadian and international staff receive localized plans covering health, leave, and retirement.

About the Company

MaintainX provides a mobile-first work execution platform utilized by industrial and frontline teams to reduce unplanned downtime across millions of managed assets. Customers include major global brands like Duracell, McDonald's, Shell, DHL, and Volvo. Following its acquisition, MaintainX operates as part of Autodesk Operations Solutions, unifying design, manufacturing, and operational lifecycles into a continuous framework.

How to Apply

Interested candidates should submit their application directly on the official company careers page.

Skills and tech stack

PythonLLM

Questions candidates ask

What is the salary range for the Senior Applied Scientist role?

The base salary ranges between $131,400 and $236,000 USD per year, with potential additional compensation including equity, bonuses, or commissions.

Where is this job located?

This position is based in San Francisco, with remote work flexibility available.

What experience level is required?

Candidates must have 5+ years of professional software engineering or data science experience focused on forecasting, optimization, or ML systems.

What primary programming language and AI tools are used?

The role requires strong Python service engineering skills and familiarity with GenAI tooling such as LLM tool calling, structured output, and prompt design.

Who owns MaintainX?

MaintainX is part of Autodesk, joining Autodesk Operations Solutions to unify design, make, and operate lifecycles.

Ready to apply?

The application is on the official MaintainX careers page.

Apply on company site