Job description

Position Overview: We are looking for a machine learning engineer to kick start our efforts to predict printability of complex part geometry. The ideal candidate will have experience in organizing data and developing machine learning models on geometric data. Responsibilities Build a printability model: Work with the process, preprint and applications team to develop ML models using image, thermal, simulation and other sensors to predict the printability of complex CAD models. Help define our data collection processes: Design, develop, and help maintain structured and unstructured databases that support data ingestion, storage, and retrieval from diverse data streams. Deploy models into production: work with the preprint team to deploy the developed models into production. Qualifications Required Experience with machine learning pipelines particularly on geometric data. Experience working in a production software engineering environment. Strong programming skills in Python or C++. Preferred Experience with powder bed fusion based manufacturing Knowledge of manufacturing data workflows, IoT sensor data, or industrial automation systems. About the Company: Velo, Velo3D, Sapphire and Intelligent Fusion are registered trademarks of Velo3D, Inc. Without Compromise, Flow, Flow Developer, and Assure are trademarks of Velo3D, Inc. With the only SupportFree laser powder bed fusion capability, we enable on-demand manufacturing of production quality Titanium, Inconel, and Aluminum parts with an unprecedented degree of design freedom and quality control. The VELO3D award-winning solution includes an integrated offering of hardware and software: Sapphire® metal AM production printer, Flow™ print preparation software, Assure™ quality assurance and control system, and an integrated manufacturing process that runs throughout the printing operation. Our team enjoys excellent benefits including healthcare coverage and 401(K) employer contributions. We believe in transparency and recognizing exceptional efforts through our monthly all-hands meetings and team member appreciation awards. Our job titles may span more than one career level. The starting base salary for this full-time position is between $155,000 and $200,000. This salary range reflects the minimum and maximum target for this position in the U.S. The actual base pay is dependent upon many factors, such as work experience, job-related skills, related education, work location, and market demands. The base pay range is subject to change and may be modified in the future. In addition to a competitive base salary and a comprehensive benefits package, this position may be eligible for other forms of compensation such as participation in a bonus and equity program, as applicable. Velo3D provides equal employment opportunities to all employees and applicants for employment without regard to, and prohibits discrimination and harassment based on, race, color, religion, age, sex, national origin, disability, medical condition, genetic information, military or veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

Requirements

Must-haves

Build a printability model: Work with the process, preprint and applications team to develop ML models using image, thermal, simulation and other sensors to predict the printability of complex CAD models.
Help define our data collection processes: Design, develop, and help maintain structured and unstructured databases that support data ingestion, storage, and retrieval from diverse data streams.
Deploy models into production: work with the preprint team to deploy the developed models into production.
Experience with machine learning pipelines particularly on geometric data.
Experience working in a production software engineering environment.
Strong programming skills in Python or C++.

Nice-to-haves

Experience with powder bed fusion based manufacturing
Knowledge of manufacturing data workflows, IoT sensor data, or industrial automation systems.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningmlpythonai

Platform: lever
Effort: quick

Benefits

Benefits detected in the listing.

401(K)