Machine Learning Engineer Intern, BS/MS - Summer 2027 - Santa Clara, CA, United States
$29 - $57 USD yearly
Originally posted 30 September 2026 by the employer.
About the role
This Machine Learning Engineer Intern role focuses on developing and operating infrastructure for large-scale AI and machine learning workloads. The team enables scalable, reliable, and efficient ML operations across distributed computing environments.
What you'll do
- Monitor and analyze AI platform performance across distributed computing environments.
- Identify opportunities to optimize machine learning training and inference workloads.
- Support GPU cluster and cloud infrastructure capacity planning and resource management.
- Evaluate model deployment performance, including latency, throughput, and scalability metrics.
- Troubleshoot system performance issues and infrastructure challenges impacting ML workloads.
- Enhance data pipeline and storage performance for large-scale machine learning applications.
What you'll need
- Currently pursuing a Bachelor’s or Master's degree in Computer Science, Computer Engineering, or a related technical field with an expected graduation date between Fall 2027 and Summer 2028.
- Proficiency in Python for manipulation and analysis.
- Knowledge of GPU computing, CUDA programming, networking fundamentals, and distributed systems concepts.
- Familiarity with distributed computing environments, cloud platforms (AWS, GCP, Azure), and containerization technologies such as Docker and Kubernetes.
- Understanding of system monitoring, logging, and performance analysis concepts.
- Exposure to machine learning workflows, model deployment, and lifecycle management.
Skills: AI platform performance, machine learning training, GPU cluster, cloud infrastructure, distributed computing
This role has been open 1 day — well below the 43-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · AI ML Hardware
|
Open roles in category
115
|
Median days open
43 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Marvell Technology | All employers we track in this specialty (115 roles · 31 employers) |
|---|---|---|
| Open roles in this specialty | 2 | 115 |
| Open roles in the wider Software, Firmware & Systems family | 49 | 5961 · 145 employers |
| Median days open | 5 d | 43 d (−38 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: AI platform performance, machine learning training, GPU cluster, cloud infrastructure, distributed computing
Who's hiring in this category
- NVIDIA · 26 open roles · median 36 d
- Qualcomm · 19 open roles · median 40 d
- AMD · 10 open roles · median 36 d
- Graphcore · 7 open roles · median 86 d
- Intel Corporation · 7 open roles · median 22 d
- Micron Technology · 6 open roles · median 52 d
How we counted: 115 open Infrastructure/Platform Software (AI ML Hardware) roles from 31 employers tracked in the SemiconductorJobs index, counted 1 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.