Staff Applied ML Engineer
AI summary of the role
Sila is hiring a Staff Applied ML Engineer to build the intelligence layer for its battery materials manufacturing operations.
What you’ll do
- Build in-house production systems that ingest plant telemetry, live data feeds, event logs, quality data, maintenance history, and operational context to improve manufacturing prediction and closed-loop response.
- Develop and deploy machine learning models for anomaly detection, fault classification, process monitoring, quality prediction, forecasting, and related manufacturing use cases.
- Design and deploy production-grade APIs, model services, pipelines, and internal tools reliable enough for day-to-day plant use.
- Partner closely with Manufacturing, Process Engineering, Controls, Quality, Data Systems, and Software teams to ensure outputs are technically sound and tied to real plant actions.
What you’ll bring
- Bachelor’s, Master’s, or PhD in Engineering, Computer Science, Operations Research, Industrial Engineering, or a related technical field.
- Strong programming skills in Python and experience building production-quality software, internal applications, or data products beyond notebooks and dashboards.
- Strong experience with scientific computing and machine learning libraries such as pandas, NumPy, SciPy, scikit-learn, statsmodels, PyTorch, TensorFlow, XGBoost, or equivalent tools.
- Experience building and deploying software services, APIs, data pipelines, or internal platforms using tools such as FastAPI, Flask, SQL, Spark, Airflow, dbt, or similar technologies.
Technologies
Python · pandas · NumPy · SciPy · scikit-learn · PyTorch · TensorFlow · XGBoost · FastAPI · Flask · SQL · Spark
About Sila Nanotechnologies
Develops and manufactures silicon-anode battery materials that replace graphite to deliver higher energy density and faster charging for EV, consumer, and industrial batteries.
Series G · 500–1000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
About Us We are Sila, a next-generation battery materials company. Our mission is to power the world’s transition to clean energy. To create this future, our team is building a better lithium-ion battery from the inside out today. We engineer and manufacture ground-breaking battery materials that significantly increase the energy density of batteries, while reducing their size and weight. The result? Smaller more powerful batteries that can unlock innovation in consumer devices and accelerate the mass adoption of electric cars to eliminate our dependence on fossil fuels. We're tackling one of the biggest challenges of our time every day, and together we're redefining what's possible. Are you ready to be a part of a team committed to changing the world? Who You Are You are excited to build the intelligence layer for manufacturing operations: systems that help the factory understand
More from the job description
About Us We are Sila, a next-generation battery materials company. Our mission is to power the world’s transition to clean energy. To create this future, our team is building a better lithium-ion battery from the inside out today. We engineer and manufacture ground-breaking battery materials that significantly increase the energy density of batteries, while reducing their size and weight. The result? Smaller more powerful batteries that can unlock innovation in consumer devices and accelerate the mass adoption of electric cars to eliminate our dependence on fossil fuels. We're tackling one of the biggest challenges of our time every day, and together we're redefining what's possible. Are you ready to be a part of a team committed to changing the world? Who You Are You are excited to build the intelligence layer for manufacturing operations: systems that help the factory understand what is happening, predict what is likely to happen next, and respond earlier and better as a result. You are a strong technical builder who likes hard problems with real operational consequences. You can take an ambiguous manufacturing problem and turn it into a working system that engineers and operations teams actually use. You are comfortable working across software, data, engineering logic, and manufacturing systems. You know how to deal with noisy plant data, imperfect systems, and messy fa [... source excerpt omitted ...] tems that drive action. We are looking for someone who has built and shipped systems that changed how an operation runs. Build Manufacturing Intelligence Systems Build in-house production systems that ingest plant telemetry, live data feeds, event logs, quality data, maintenance history, and operational context to improve manufacturing prediction and closed-loop response Reconstruct equipment and process behavior from raw data and surface meaningful deviations between expected and actual execution Develop systems that identify process drift, classify fault patterns, and quantify operational risk before failures, downtime, or quality losses fully materialize Turn raw manufactu [... source excerpt omitted ...] s the most value Convert model outputs into practical operational logic that supports triage, escalation, intervention, and action Deploy Into Real Operations Design and deploy production-grade APIs, model services, pipelines, and internal tools that are reliable enough for day-to-day plant use Build workflows for feature generation, inference, event detection, and feedback into operational systems Partner closely with Manufacturing, Process Engineering, Controls, Quality, Data Systems, and Software teams to ensure outputs are technically sound and tied to real plant actions Help define the architecture and roadmap for operations intelligence across manufacturing and adjacent
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