921 IT & Software Developer jobs in the US
Summer Intern - AI/ML Engineer - Cloud Infrastructure
$87,600 - 103,200
Lensa
West Dana Street, Mountain View
$87,600 - 103,200
Requirements
Must:
- Currently enrolled in a full-time, degree-seeking program and pursuing a Bachelors degree in computer science or a related technical field.
- Experience with systems software or algorithms.
- Proficiency in modern object-oriented programming languages (e.g., Java, C++, Python). Experience coding in Java, C/C++, Perl, PHP, GO, or Python.
- Strong communication abilities with experience working collaboratively across cross-functional teams.
- Availability to work full-time, 40 hours per week.
- Demonstrated software engineering experience through internships, work experience, or coding competitions (preferred).
- Familiarity with AI-assisted engineering tools (e.g., code generation, model analysis, or experiment planning) is a plus.
- Proven creativity and strong problem-solving skills is desirable.
- Research or work experience in machine learning infrastructure is advantageous.
- Experience with technologies such as Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable.
- Experience with distributed systems (e.g., Spark, Ray, Kubernetes, Slurm).
- Knowledge of scheduling algorithms, orchestration, or compute is beneficial.
- Intent to return to degree program after the internship, with graduation planned between December 2026 and August 2027.
Responsibilities
- Assist in developing and optimizing our AV ML infrastructure by enhancing data processing pipelines and scheduling.
- Accelerate model training and inference workflows while improving testing frameworks like Carbench/HIL.
- Support the creation of tools, instrumentation, and system monitoring to increase reliability and reduce latency.
- Generate scalable infrastructure and tools to facilitate model training, regression, and inference operations.
- Recommend, gather, and integrate requirements to formulate an effective feature roadmap.
- Collaborate with the engineering team to deliver code outputs.
- Adapt standard machine learning methodologies to effectively leverage modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU).
- Undertake specific tasks that vary based on team needs.
Description
We are Lensa, a career site dedicated to helping job seekers find exceptional opportunities throughout the US. We are not a staffing agency and do not directly hire for positions; rather, we promote job listings on behalf of our clients, including General Motors. Our internship program is hybrid, requiring interns to report to the office in California up to three times per week. The AV ML Infra team focuses on developing ML infrastructures for AI innovations, enhancing model performance through robust system designs, and automating workflows to streamline processes. This internship offers competitive compensation of $7,300 - $8,600 per month, along with valuable experience in a pioneering technical environment.
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The company with most openings is Boeing as they are hiring for 54 different DevOps jobs in the United States. They are probably quite committed to find good DevOps.