What are the responsibilities and job description for the Machine Learning Research Engineer position at d-Matrix?
At d-Matrix , we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
Increase your chances of reaching the interview stage by reading the complete job description and applying promptly.
We value humility and believe in direct communication. Our team is inclusive , and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together , we can help shape the endless possibilities of AI.
Location : Santa Clara, Hybrid or Remote
The role : Machine Learning Research Engineer
The Machine Learning Team is responsible for the R&D of core algorithm-hardware co-design capabilities in d-Matrix's end-to-end solution. You will be joining a team of exceptional people enthusiastic about researching and developing state-of-the-art efficient deep learning techniques tailored for d-Matrix's AI compute engine. You will also have the opportunity of collaboration with top academic labs and help customers to optimize and deploy workloads for real-world AI applications on our systems.
What you will do :
- Engage and collaborate with Product Managers to define R&D goals.
- Engage and collaborate with internal SW team to meet stack development milestones.
- Maintain customer-facing SW tools for customer workload deployment.
- Port customer workloads, optimize them for deployment, generate reference implementations and evaluate performance.
- Report and present progress timely and effectively.
What you will bring :
Minimum :
Preferred :
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
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