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Machine Learning Research InternMixMode • Santa Clara, California, United States
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Machine Learning Research Intern

MixMode
  • US
    Santa Clara, California, United States
  • US
    Santa Clara, California, United States
Jetzt Bewerben

Über

Location Santa Clara
Employment Type Intern
Location Type Hybrid
Department R&D - SW Machine Learning
Compensation
$30 – $59 per hour
The pay range below is for all roles at this level across all US locations and functions. Individual pay rates depend on a number of factors—including the role’s function and location, as well as the individual’s knowledge, skills, experience, education, and training. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.
Hybrid, working onsite at our Santa Clara, CA headquarters 3 days per week.
12 Week Program: June 1st - August 21st or June 22nd - September 11th
Machine Learning Research Intern The Machine Learning Team is responsible for investigating algorithm‑hardware co‑design research vectors 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 to collaborate with top academic labs and help customers optimize and deploy workloads for real‑world AI applications on our systems.
What You Will Do
Design, implement and evaluate efficient deep neural network architectures and algorithms for d‑Matrix's AI compute engine.
Engage and collaborate with internal and external ML researchers to meet R&D goals.
Engage and collaborate with the Software team to meet stack development milestones.
Conduct research to guide hardware design.
Develop and maintain tools for high‑level simulation and research.
Port customer workloads, optimize them for deployment, generate reference implementations and evaluate performance.
Report and present progress timely and effectively.
Contribute to publications of papers and intellectual property.
What You Will Bring
Pursuing Masters/PhD degree in Computer Science, Electrical and Computer Engineering, or a related scientific discipline.
High proficiency with PyTorch is a must.
High proficiency in algorithm analysis, data structure, and Python programming is a must.
Current knowledge in machine learning and modern deep learning.
Hands‑on experience with modern neural network architectures such as MoEs and Diffusion models.
Knowledge and experience with efficient deep learning is preferred: quantization, sparsity, distillation.
Strong publication records in top machine learning conferences or journals is preferred.
Proficiency with C/C++ programming is preferred.
Proficiency with GPU CUDA programming is preferred.
Experience with AutoML and meta learning is preferred.
Experience with numerical analysis preferred.
Experience with specialized HW accelerator systems for deep neural network is 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.
d‑Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individuals interested in opportunities with d‑Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of all applicants. Thank you for your understanding and cooperation.
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  • Santa Clara, California, United States

Sprachkenntnisse

  • English
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