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Job description
The Technology Development Team is responsible for development advanced manufacturing technologies to enhance the industrial base. Our solutions range from novel welding processes, advanced robotics, and advanced simulation and prediction capabilities.
About the Role
We are seeking a highly skilled and motivated Senior Data Scientist to join our dynamic team. The successful candidate will be a core team member responsible for integrating physics-informed machine learning solutions with our state-of-the-art 3D printing technologies. This role is pivotal in driving new advancements in large-scale additive manufacturing, interfacing closely with physics-based simulations, advanced robotics, and tackling complex material science challenges.
About You
Develop and implement advanced physics-informed machine learning models to enhance the performance and capability of large-scale 3D printing processes.
Collaborate with cross-functional teams, including material scientists, engineers, and robotics experts, to integrate machine learning models with physical simulations and robotic systems.
Extract insights from data to understand and optimize the interactions between materials, printing processes, and product performance.
Lead the exploration and adoption of new data science techniques and methodologies to solve complex, interdisciplinary problems in additive manufacturing.
Communicate complex data insights and model outcomes to stakeholders at all levels, including non-technical audiences.
Nice to haves but not required
Solid understanding of materials science and its application in additive manufacturing processes.
Expertise in the physics of additive manufacturing processes such as wire arc DED and laser powder DED
Expertise in physics-based simulation and its integration with machine learning models.
Experience working with simulation software APIs
Relativity Space offers competitive salary and equity, a generous vacation policy, an annual L&D stipend and more!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.