Machine Learning Engineer

About Machina Labs

Engineering moves at software speed. Manufacturing doesn't. Yet.

Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years.

Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on.

If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place.

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.

$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.

• 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.