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Internship Coding Minds Academy Jobs in California

We're looking for bright, curious minds in engineering with strong foundations in Python, data ... Write clean, testable, and maintainable code following best practices in coding standards, version ...

We're looking for bright, curious minds in engineering with strong foundations in Python, data ... Write clean, testable, and maintainable code following best practices in coding standards, version ...

You'll be surrounded by curious minds solving complex problems at the frontier of AI. * Clear ... This is an hourly internship position. Your Impact * Support day to day triage and analysis of ...

... minds in the industry. If you want to learn more about us, visit us at www.panasonic.aero. And for ... Perform code reviews and contribute to engineering implement and guidelines * Support diagnoses ...

... minds in the industry. If you want to learn more about us, visit us at www.panasonic.aero. And for ... Perform code reviews and contribute to engineering implement and guidelines * Support diagnoses ...

... minds in the industry. If you want to learn more about us, visit us at www.panasonic.aero. And for ... Perform code reviews and contribute to engineering implement and guidelines * Support diagnoses ...

... Dietetic Registration Code of Ethics, and the Academy of Nutrition and Dietetics Scope and ... May precept dietetic interns. * Collaborates with the interdisciplinary team, referring to other ...

... Dietetic Registration Code of Ethics, and the Academy of Nutrition and Dietetics Scope and ... May precept dietetic interns. * Collaborates with the interdisciplinary team, referring to other ...

... Dietetic Registration Code of Ethics, and the Academy of Nutrition and Dietetics Scope and ... May precept dietetic interns. * Collaborates with the interdisciplinary team, referring to other ...

Showing results 21-40

Internship Coding Minds Academy information

What is an internship at Coding Minds Academy?

An Internship at Coding Minds Academy is a structured program where students or recent graduates gain practical experience in fields such as coding, technology education, and STEM program development. Interns typically work on real-life projects, assist instructors, and help organize educational activities for younger students. The internship provides valuable hands-on learning, mentorship from experienced professionals, and opportunities to develop both technical and soft skills. These experiences help interns build their resumes and better prepare for future careers in technology or education.

What are the key skills and qualifications needed to thrive as an intern at Coding Minds Academy?

To thrive as an intern at Coding Minds Academy, you need a foundational understanding of programming concepts, problem-solving abilities, and a willingness to learn, often demonstrated by coursework or personal projects in computer science. Familiarity with coding languages like Python or Java, as well as exposure to educational platforms and basic project management tools, is typically expected. Strong communication, teamwork, and adaptability help interns effectively collaborate with mentors and peers while managing evolving tasks. These skills and qualities are important for successfully contributing to projects and maximizing the learning experience in a collaborative, fast-paced environment.

What typical projects and responsibilities can interns expect at Coding Minds Academy?

At Coding Minds Academy, interns often work on real-world educational technology projects, such as assisting with curriculum development, supporting coding workshops, and helping to organize STEM events for students. Interns frequently collaborate with experienced instructors and other interns, gaining hands-on experience in both programming and teaching. The environment is fast-paced and supportive, offering mentorship and opportunities to develop both technical and communication skills. This role is ideal for those interested in combining software development with educational outreach, and it provides valuable exposure to both fields.

What is the difference between Internship Coding Minds Academy vs Software Development Intern?

AspectInternship Coding Minds AcademySoftware Development Intern
Required CredentialsBasic programming knowledge, coursework, or beginner certificationsSome coding experience, possibly coursework or certifications
Work EnvironmentEducational, training-focused, collaborativeProfessional tech company or startup, project-based
Employer & Industry UsageEducational institutions, coding bootcamps, training programsTech companies, software firms, startups

Internship Coding Minds Academy typically offers training-focused internships aimed at beginners or students, emphasizing learning and skill development. In contrast, a Software Development Intern usually works within a professional tech environment on real projects. Both roles require some programming knowledge but differ in scope, environment, and purpose.

What are the most commonly searched types of Coding Minds Academy jobs in California?

The most popular types of Coding Minds Academy jobs in California are:

What are popular job titles related to Internship Coding Minds Academy jobs in California?

For Internship Coding Minds Academy jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Internship Coding Minds Academy jobs?

Cities in California with the most Internship Coding Minds Academy job openings:

Research Scientist - Distributed Machine Learning

MBZUAI (Mohamed bin Zayed University of Artificial Intelligence)

Sunnyvale, CA • On-site

Full-time

Re-posted 29 days ago


Job description

Job Summary:
MBZUAI is a dedicated research lab focused on advancing foundation models and AI development. The Research Scientist will work on building and scaling distributed pre-training frameworks, optimizing training efficiency, and mentoring junior engineers while contributing to groundbreaking AI solutions.
Responsibilities:
• Build and scale distributed pre-training frameworks
• Set up DeepSpeed / FSDP / Megatron-LM across multi-node GPU clusters.
• Create robust launch scripts, resilient checkpoints, and job monitoring (e.g. NCCL/GLOO/GPU).
• Turn mathematical ideas into fast production code
• Prototype new optimizers or attention methods (like in PyTorch/NumPy/JAX orothers).
• Convert them into efficient CUDA/Triton kernels with custom gradients and tests.
• Boost training efficiency and stability
• Lead mixed-precision training, push bf16, fp8, etc, into daily runs, track their accuracy-vs-speed gains, and be able to analyze numeric stability
• Apply kernel fusion, communication tuning, and memory optimization to reach state-of-the-art throughput.
• Accelerate research velocity
• Build logging, metrics, and other experiment-tracking tools for rapid iteration.
• Design ablation studies and statistical tests that validate—or refute—new ideas.
• Mentor interns and junior engineers through clear async design docs and code reviews.
• Framework Ownership – Productionize a PyTorch/JAX pre-training stack and keep it reliable at scale.
• Custom Optimizer Implementation – Code new algorithms in distributed frameworks directly from mathematical specs.
• Experiment Infrastructure – Build reusable modules, logging, and metrics dashboards that speed up research cycles.
• Performance Optimization – Apply kernel fusion, communication optimization, and memory management to thousands of GPU jobs.
• Distributed Debugging – Rapidly diagnose gradient synchronization, collective-ops, or fault-tolerance issues.
• Collaboration – Document designs clearly, run post-mortems, and partner with global research teams.
Qualifications:
Required:
• 5 + years combined industry or hands-on research experience with large-scale deep-learning training.
• Led at least one large-scale transformer pre-training run.
• Expert PyTorch or JAX/Flax plus DeepSpeed, FSDP, Megatron-LM, or MosaicML Composer.
• Experience with distributed training at scale (100+ GPUs).
• Proven multi-node GPU work (Slurm, K8s, or Ray) and NCCL/GLOO debugging.
• Strong software engineering skills on large ML codebases.
• Ownership of mixed- or low-precision paths (bf16, fp8, 4-bit) with accuracy validation.
• Clear written communication (design docs, RFCs, post-mortems).
Preferred:
• NeurIPS / ICML / ICLR papers or open-source contributions to major ML frameworks.
• Experience implementing optimization algorithms (e.g., SGD variants, Adam, second-order methods).
• Background in numerical computing.
• Ability to translate math and build high-perf CUDA/Triton kernels.
Company:
Official account of Mohamed bin Zayed University of Artificial Intelligence. Dedicated to research, innovation, and empowering brilliant minds in AI. Founded in 2019, the company is headquartered in Abu Dhabi, ARE, with a team of 51-200 employees. The company is currently Growth Stage.