Machine Learning Engineer
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.
- 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.
*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.
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.
Skills
As published by lever · 6 questions · 4 written answers
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, Twitter URL, GitHub URL, Portfolio URL, Other website
Pick from a list (2)
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- As defined in the ITAR, “U.S. Persons” include U.S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected individuals (e.g., refugees/asylees, American Samoans). Please consult with a knowledgeable advisor if you are unsure whether you are a “U.S. Person.” The person hired will have access to information and items controlled by the International Traffic in Arms Regulation (ITAR), and, therefore, must either be a “U.S. person” as defined by 22 C.F.R. § 120.15 or otherwise eligible for a federally issued export control license. To assist Machina Labs in assessing its export compliance obligations in relation to your application, please identify which statement best applies to you:
Written answers (4)
- Why do you want to join Machina Labs and contribute to our mission of building the factory of the future?
- This role is based in Chatsworth, CA. Are you able to commute to the office at least 3 times per week?
- Tell us about a time when you designed, trained, and deployed a machine learning model that had a measurable impact on a business or product. What was your role, and what was the outcome?
- Describe a complex ML challenge you solved — whether it involved scale, noisy data, or edge deployment. How did your solution influence organizational goals or team performance?