Machine Learning Engineer

Machina Labs; Unincorporated Chatsworth (CA); On-site; USD 160,000 - 190,000; Full time

Benefits offered by this job

Competitive benefits package

Stock option participation

Job summary

A technology-driven manufacturing company in California is seeking a Machine Learning Engineer to design and deploy ML models for robotic systems. The role demands experience with Python, Databricks, and Azure, requiring a Master's with 6+ years in machine learning or a Ph.D. with 3+ years. Responsibilities include building scalable ML pipelines and collaborating with teams to integrate solutions. The competitive salary ranges from $160,000 to $190,000 annually, with additional benefits and stock options.

Qualifications

• 6+ years of hands-on experience in machine learning and AI with a Master's or 3+ years with a Ph.D.
• Proven ability to work with raw, unstructured, or incomplete data.
• Strong experience designing, building, training, and testing ML models end-to-end.

Responsibilities

• Design, build, train, evaluate, and deploy ML models for robotic manufacturing.
• Collect, clean, and organize data from various sources for model training.
• Develop ML pipelines and infrastructure using cloud platforms.

Skills

Machine Learning

Python

Data Processing

Cloud Computing

Databricks

Apache Spark

Education

Master’s degree in Computer Science or related field

Ph.D. in relevant field

Tools

Azure

Databricks

Apache Spark

Job description

Job Description:

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what’s possible in smart manufacturing. In this role, you will design, build, train, and deploy machine learning models that power our robotic sheet metal forming systems. You’ll work closely with our engineering team to transform raw data into actionable intelligence, enabling our robots to produce parts with greater precision, speed, and adaptability.

This is a hands‑on role for someone who thrives at the intersection of research and production, someone who is just as comfortable wrangling messy datasets as they are architecting scalable ML pipelines. If you’re passionate about applying machine learning to real‑world manufacturing challenges, we’d love to hear from you.

Key Responsibilities:

• Design, build, train, evaluate, and deploy machine learning models to support and improve our robotic manufacturing processes.
• Identify, collect, clean, and organize data from diverse sources to construct high-quality datasets for model training and evaluation.
• Develop and maintain scalable ML pipelines and infrastructure using cloud platforms, with a focus on Azure.
• Leverage Databricks and Apache Spark for large‑scale data processing and model development.
• Collaborate with cross‑functional teams, including robotics, software, and manufacturing engineers to integrate ML solutions into production workflows.
• Stay current with the latest developments in machine learning and AI and evaluate their applicability to our manufacturing challenges.
• Write clean, well‑documented, and production‑quality Python code.
• Communicate findings, results, and recommendations to both technical and non‑technical stakeholders.

Required Background & Experience:

• Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field with 6+ years of hands‑on experience in machine learning and AI; or a Ph.D. in a relevant field with 3+ years of experience.
• Strong experience designing, building, training, and testing machine learning models end‑to‑end.
• Proven ability to work with raw, unstructured, or incomplete data, including data collection, cleaning, labeling, and dataset construction.
• Proficiency in Python for ML development, data processing, and scripting.
• Familiarity with cloud computing frameworks and services, with a preference for Microsoft Azure.
• Experience with Databricks and Apache Spark for data engineering and model development.

Preferred Qualifications:

• Machine learning experience in CAD and computational geometry applications.
• Experience working in the industrial or manufacturing space.
• Experience with robotics, including robotic perception, control, or planning.

*This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs.

$160,000 - $190,000 a year

The base salary range for this role is dependent on experience, qualifications, and overall alignment with the scope of the position.

In addition to base compensation, Machina Labs offers a competitive benefits package and stock option participation.

Machina Labs is an affirmative action and equal employment opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law.

We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444‑9777. This contact information is for accommodation requests only, not to inquire about the status of applications.