Applied ML Engineer, Manufacturing Intelligence

Sila Nanotechnologies, Inc.; Alameda (CA); On-site; USD 151,000 - 178,000; Full time

Job summary

Sila Nanotechnologies, Inc. is seeking an experienced engineer to build manufacturing intelligence systems that ingest plant telemetry, logs, and quality data to predict and prevent issues.

You will develop models for anomaly detection, process monitoring, and quality prediction, and deploy APIs and data pipelines for real-time decision making. You will work across Manufacturing, Process Engineering, and Software teams to ensure solutions are technically sound and translate plant problems into

Qualifications

• Bachelor's, Master's, or PhD in Engineering, Computer Science, Operations Research, Industrial Engineering, or related field.
• Strong Python programming and production-quality software development experience.
• Experience with scientific computing and ML libraries (pandas, NumPy, SciPy, scikit-learn, PyTorch, TensorFlow, XGBoost).
• Experience building and deploying services, APIs, data pipelines, or internal platforms (FastAPI, Flask, SQL, Spark, Airflow, dbt).
• Experience with time-series, sensor, MES, historian, or industrial data.
• Experience training, validating, and deploying models for prediction, classification, anomaly detection, forecasting, or optimization.

Responsibilities

• Build in-house production systems ingesting plant telemetry, live data, logs, quality data and maintenance history.
• Reconstruct equipment/process behavior from raw data and surface deviations.
• Develop models to detect faults, drift, and risk before failures.
• Turn signals into reliable services that improve uptime and yield.
• Deploy APIs, model services, pipelines and internal tools for day-to-day plant use.
• Collaborate with Manufacturing, Process Engineering, Controls, Quality, Data Systems, and Software teams.

Skills

Python

Production-quality software

Machine learning

Pandas/Numpy

Time-series data

APIs / microservices

SQL/Spark/Airflow

Education

Engineering/CS degree

Tools

FastAPI

Flask

SQL

Spark

Airflow

dbt

Job description

Sila Nanotechnologies, Inc. is seeking an experienced engineer to build manufacturing intelligence systems that ingest plant telemetry, logs, and quality data to predict and prevent issues.

You will develop models for anomaly detection, process monitoring, and quality prediction, and deploy APIs and data pipelines for real-time decision making. You will work across Manufacturing, Process Engineering, and Software teams to ensure solutions are technically sound and translate plant problems into