About this opportunity
jobs.frontdoordefense.com - Jobboard lists this Machine Learning Engineer opportunity in los angeles, California. Review the employer’s description below for duties, qualifications and application requirements.
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 . This contact information is for accommodation requests only, not to inquire about the status of applications.
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Worksite address
los angeles, CA, 90079, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.