Machine Learning Engineer

jobs.frontdoordefense.com - Jobboard; Los Angeles (CA); On-site; USD 160,000 - 190,000; Full time

Benefits offered by this job

Competitive benefits package

Stock option participation

Job summary

Machina Labs in Los Angeles is seeking a Machine Learning Engineer to lead the end-to-end deployment of ML solutions for robotic sheet metal forming systems. You'll design and deploy models that enhance production precision and efficiency. The ideal candidate has a Master's or Ph.D. in a relevant field and extensive experience developing and implementing machine learning systems. The position offers a competitive salary of $160,000 - $190,000 annually along with benefits and stock options.

Qualifications

• 6+ years of hands-on experience in machine learning and AI with a Master's degree.
• Proficiency in Python for ML development, data processing, and scripting.
• Experience designing, building, training, and testing machine learning models end-to-end.

Responsibilities

• Design, build, train, and deploy machine learning models for robotic manufacturing processes.
• Identify, collect, clean, and organize data for high-quality datasets.
• Collaborate with teams to integrate ML solutions into production workflows.

Skills

Machine Learning

Data Processing

Python

Azure

Databricks

Apache Spark

Education

Master's degree in Computer Science, Machine Learning, or related field

Ph.D. in relevant field

Tools

Azure

Databricks

Apache Spark

Job description

Machine Learning Engineer

Lead end-to-end ML deployment for robotic sheet metal forming systems

Location: Los Angeles, California, United States

Compensation: $160,000 - 190,000 USD / year

Job Tags: Software

About The Role

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.

$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 [phone]. This contact information is for accommodation requests only, not to inquire about the status of applications.