Engineering Senior Applied Machine Learning Developer, Asset Intelligence San Francisco $131.4K – $236K • Offers Equity • Offers Bonus

MaintainX; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work model

Equity compensation

Performance bonuses

Competitive pay

Job summary

MaintainX, now part of Autodesk Operations Solutions, seeks a Senior Applied Machine Learning Developer to guide AI strategy for predictive maintenance and asset intelligence. You will mentor engineers, design end-to-end ML systems, and drive AI initiatives across thousands of industrial sites.

The role emphasizes production ML deployment, time-series modeling, and collaboration with product and platform teams to deliver measurable business impact.

Qualifications

• 7+ years of experience in Machine Learning, Data Science, or Applied AI.
• Expertise in Python, and strong familiarity with PyTorch, TensorFlow, and cloud ML stacks (AWS, Databricks, or similar).
• Proven experience deploying production ML systems—not just prototypes—at scale.
• Strong background in LLMs, time-series modeling, and anomaly detection for real-world data.
• Demonstrated ability to lead architectural decisions, mentor developers, and collaborate across product, data, and platform teams.

Responsibilities

• Lead technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across MaintainX products.
• Architect end-to-end ML systems—from data ingestion and feature development to model training, deployment, and monitoring.
• Mentor a growing team of ML and data developers, instilling best practices for experimentation, evaluation, and model lifecycle management.
• Partner with product and software development leaders to align AI roadmap with customer needs and business goals.
• Design reliable data and feedback loops that connect customer telemetry and operator feedback to model retraining.
• Drive performance optimization through techniques like quantization, distillation, and scalable inference serving.
• Work with LLM frameworks (LangChain, LlamaIndex, Hugging Face) to build reasoning systems and agentic workflows for asset and work intelligence.
• Ensure ML infrastructure meets production standards for latency, reliability, explainability, and security.

Skills

Python

Machine Learning

Time-series modeling

Leadership

Education

MS/PhD in Computer Science or related field

Tools

PyTorch

TensorFlow

Docker

Kubernetes

Weights & Biases

MLflow

SageMaker

LangChain

LlamaIndex

Hugging Face

Job description

MaintainX is a leading mobile-first work execution platform for industrial and frontline teams. More than 13,000 customers, including Duracell, McDonald's, Shell, DHL and Volvo, use MaintainX to cut unplanned downtime and run better operations, across 13.9 million managed assets and 79.5 million completed work orders.

In August 2026 MaintainX became part of Autodesk, joining Autodesk Operations Solutions , the organization unifying Autodesk's operations platform alongside Tandem, FlexSim and Fusion Operations. Autodesk's strategy is to converge design, make and operate into one continuous lifecycle: design an asset, build it, run it, then feed what you learn running it back into the next design. Autodesk had design and make. Operate is the phase that tells you what actually happened, and it is ours.

As we enter our next phase of growth, we're investing deeply in AI/ML, LLMs, and Industrial IoT to transform how frontline teams operate- predicting failures before they happen, automating workflows, and embedding intelligence into every asset and procedure.

The Role

We are seeking a highly skilled and motivated Senior Applied Machine Learning Developer to guide the technical direction and architecture of our Predictive Maintenance and Asset Intelligence initiatives.

You’ll combine deep ML expertise with strong software development and leadership skills—mentoring developers, scaling systems, and driving the roadmap for AI-enabled maintenance intelligence across thousands of industrial sites.

This role sits at the intersection of ML architecture, IoT data systems, and product impact, shaping the foundation for MaintainX’s predictive and generative AI strategy.

What you’ll do:

Lead technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across MaintainX products.

Architect end-to-end ML systems—from data ingestion and feature development to model training, deployment, and monitoring.

Mentor a growing team of ML and data developers, instilling best practices for experimentation, evaluation, and model lifecycle management.

Partner with product and software development leaders to align AI roadmap with customer needs and business goals.

Design reliable data and feedback loops that connect customer telemetry and operator feedback to model retraining.

Drive performance optimization through techniques like quantization, distillation, and scalable inference serving.

Work with LLM frameworks (LangChain, LlamaIndex, Hugging Face) to build reasoning systems and agentic workflows for asset and work intelligence.

Ensure ML infrastructure meets production standards for latency, reliability, explainability, and security.

About you:

7+ years of experience in Machine Learning, Data Science, or Applied AI.

Expertise in Python, and strong familiarity with PyTorch, TensorFlow, and cloud ML stacks (AWS, Databricks, or similar).

Proven experience deploying production ML systems—not just prototypes—at scale.

Strong background in LLMs, time-series modeling, and anomaly detection for real-world data.

Demonstrated ability to lead architectural decisions, mentor developers, and collaborate across product, data, and platform teams.

Knowledge of MLOps tooling (Docker, Kubernetes, Weights & Biases, MLflow, SageMaker).

Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field preferred.

Experience with OCR for extracting structured data from documents.

Background in time-series modeling for predictive maintenance and anomaly detection.

Familiarity with Industrial IoT systems (sensors, telemetry, edge computing).

Experience applying reinforcement learning or agentic architectures for decision-making and control systems.

Contributions to open-source ML frameworks or research in reliability, explainability, or digital twins.

Our mission is to keep the physical world running. Factories, fleets, hospitals and campuses stay up because the people who maintain them have tools worth using. That is what we build.

Compensation and benefits. Base pay is one part of the package. Depending on the role, compensation may also include commission, an annual bonus and equity. Benefits differ by country. For roles in the United States, Autodesk's benefits are described at benefits.autodesk.com . For roles in Canada and other countries, the plan differs on health coverage, retirement and leave, and your recruiter will walk you through it.

Belonging. We take pride in a culture where everyone can thrive. More at autodesk.com/company/global-belonging . More on where this is going: Autodesk CEO Andrew Anagnost on building the future of connected operations, and AOS SVP Stephen Hooper on welcoming MaintainX to Autodesk.

Competitive pay, meaningful equity, performance bonuses, and rewards for outsized impact.

Flexibility that fuels speed

Hybrid work, unlimited time off, and the autonomy to move fast and own your results.

Growth at startup velocity

L&D budget, real ownership, stretch opportunities, and recognition for bold thinking and innovation.

Health & wellness that keeps you at your best

Comprehensive benefits, wellness programs, parental support, and access to the tools you need to perform.

A culture built for builders

Catered lunches, off-sites, hackathons, energetic teams, and a community that celebrates big wins and resilience.