Staff Applied ML Engineer - Manufacturing Intelligence

Sila Nanotechnologies; Alameda (CA); On-site; USD 151,000 - 177,500; Full time

Benefits offered by this job

Competitive Total Rewards package including benefits, perks, and equity.

Job summary

A next-generation battery materials company in Alameda, California is seeking a skilled engineer to build manufacturing intelligence systems. The role involves developing models for quality prediction and deploying production systems to analyze plant data. Candidates should have a strong technical background and experience in Python, machine learning, and systems thinking. A competitive salary of $151,000 to $177,500 is offered, along with a diverse and inclusive work environment.

Qualifications

• Strong programming skills in Python and experience building production-quality software.
• Strong experience with scientific computing and machine learning libraries.
• Experience building and deploying software services, APIs, data pipelines.

Responsibilities

• Build in-house production systems that improve manufacturing prediction.
• Develop models for anomaly detection and quality prediction.
• Partner closely with multiple teams to ensure technical soundness.

Skills

Python

Machine learning

Systems thinking

Data pipeline development

Education

Bachelor’s, Master’s, or PhD in Engineering, Computer Science, Operations Research, Industrial Engineering

Tools

FastAPI

TensorFlow

SQL

Job description

A next-generation battery materials company in Alameda, California is seeking a skilled engineer to build manufacturing intelligence systems. The role involves developing models for quality prediction and deploying production systems to analyze plant data. Candidates should have a strong technical background and experience in Python, machine learning, and systems thinking. A competitive salary of $151,000 to $177,500 is offered, along with a diverse and inclusive work environment.