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Remote Teen Computer Science Jobs in Santa Clara, CA

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

... computer science, electrical engineering, or related fields/experience * Strong Python programming ... Mountain View, CA (not a remote position) Employment Eligibility: At this time NextSense is only ...

Pattern AI

Lead Engineer

San Mateo, CA · On-site +1

$116K - $153K/yr

MS in Computer Science, Computer Engineering or a related field * Experience working with remote teams across multiple locations * Experience with Kubernetes and Docker * CI tools (Jenkins, Circle CI ...

Pattern AI

Lead Engineer

San Mateo, CA · Remote

$116K - $153K/yr

MS in Computer Science, Computer Engineering or a related field * Experience working with remote teams across multiple locations * Experience with Kubernetes and Docker * CI tools (Jenkins, Circle CI ...

Axiom Cloud

Software Engineer (Fully Remote)

San Jose, CA · On-site +1

SOFTWARE ENGINEER Remote (Pacific Hours) axiomcloud.ai 510-683-5200 Axiom Cloud is transforming how ... Bachelors in Computer Science, Engineering, or a related field. * 3+ years of professional software ...

Eitacies Inc

Sr Staff PSIRT Engineer

Santa Clara, CA · Remote

$60 - $70/hr

Education: * BS or MS Degree in Computer Science, Engineering, or Cybersecurity. * 4+ years of experience in product security, application security, or vulnerability research. This is a remote ...

Infotech Sourcing

Network Engineer IV

Fremont, CA · On-site +1

Remote Summary: The main function of a network engineer is to determine user requirements and ... Education/Experience: • Bachelor's degree in computer science or a related field required.

Infotech Sourcing

Network Engineer IV

Fremont, CA · Remote

Remote Summary: The main function of a network engineer is to determine user requirements and ... Education/Experience: • Bachelor's degree in computer science or a related field required.

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All JobsTeen Computer Science JobsRemote Teen Computer Science JobsRemote Teen Computer Science Jobs in Santa Clara, CA

Remote Teen Computer Science information

See Santa Clara, CA salary details

$66.4K

$97.6K

$115.1K

How much do remote teen computer science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote teen computer science in Santa Clara, CA is $97,606.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $109,800.00 per year, depending on experience, location, and employer.

What is a remote teen computer science job?

Remote teen computer science jobs are work opportunities in the technology field that can be performed online by teenagers, typically aged 13 to 19. These jobs may include roles like coding internships, web development, software testing, or tech support, allowing teens to gain practical experience and earn money from home. Such positions often require basic programming knowledge, strong problem-solving skills, and the ability to work independently. Remote jobs help teens build their resumes and explore potential career paths in computer science before entering college or the workforce.

What skills and qualifications are needed to thrive as a remote teen computer science instructor?

To thrive as a Remote Teen Computer Science Instructor, you need a solid background in computer science fundamentals and programming, often supported by a degree or relevant teaching experience. Familiarity with online learning platforms, coding environments such as Python or Java, and virtual collaboration tools is typically required. Strong communication, patience, and the ability to engage and motivate teenagers are essential soft skills for success in this teaching role. These skills ensure effective knowledge transfer, foster student engagement, and help create a positive remote learning environment for teens.

What are common challenges faced by remote teen computer science instructors and how can they be addressed?

Remote teen computer science instructors often encounter challenges such as keeping students engaged in a virtual environment, managing diverse skill levels, and facilitating hands-on coding practice remotely. Effective strategies include using interactive tools, incorporating collaborative projects, and providing clear, structured lesson plans. Building a supportive online community and offering regular feedback also help maintain motivation and participation among young learners.

What is the difference between Remote Teen Computer Science vs Remote Teen Web Development?

AspectRemote Teen Computer ScienceRemote Teen Web Development
Required SkillsProgramming fundamentals, algorithms, problem-solvingHTML, CSS, JavaScript, basic design
CertificationsNone typically required, but coding courses helpfulNone typically required, but coding bootcamps beneficial
Work EnvironmentOnline learning platforms, coding projectsWebsite projects, client work, personal portfolios
Industry UsageEducation, tech startups, software companiesDigital agencies, freelance work, startups

Remote Teen Computer Science focuses on foundational programming skills and problem-solving, suitable for various tech roles. Remote Teen Web Development emphasizes building websites and user interfaces, often involving design and front-end skills. Both roles are ideal for teens interested in tech, but they differ in technical focus and project types.

Can I work remotely with a computer science degree?

Yes, a computer science degree can qualify you for remote work opportunities in software development, programming, data analysis, and other tech roles. Many companies offer remote positions that require skills in coding languages, problem-solving, and familiarity with collaboration tools like Git and Slack.

What are the most commonly searched types of Teen Computer Science jobs in Santa Clara, CA?

The most popular types of Teen Computer Science jobs in Santa Clara, CA are:

What are popular job titles related to Remote Teen Computer Science jobs in Santa Clara, CA?

For Remote Teen Computer Science jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Remote Teen Computer Science jobs in Santa Clara, CA look for?

The top searched job categories for Remote Teen Computer Science jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Remote Teen Computer Science jobs?

Cities near Santa Clara, CA with the most Remote Teen Computer Science job openings:

Remote Teen Computer Science jobs near you
Infographic showing various Remote Teen Computer Science job openings in Santa Clara, CA as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $97,606 per year, or $46.9 per hour.

Senior Applied Scientist, Efficient LLM Inference & Model Optimization

Nebius

Palo Alto, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 15 days ago

Job description

The role 

Nebius Token Factory needs scientists who can turn frontier inference bottlenecks into research problems, publish credible work, and then help ship the results into production. This is not a papers-only research role. The Applied Scientist is expected to design rigorous experiments, write strong code, collaborate with engineers, and convert research into deployed inference capabilities.

A Senior Applied Scientist owns well-scoped research and production optimization projects. They can publish or prepare high-quality technical work while also producing code, experiments, and prototypes that engineers can use.

Your responsibilities: 

  • Own focused research projects from hypothesis through experiment, ablation, prototype, and production handoff.

  • Prepare internal reports, technical blogs, or papers when the work is externally credible.

  • Partner directly with MLEs to ensure research prototypes become usable production components.

  • Define and execute research programs in efficient LLM and VLM inference with measurable production impact.

  • Invent, evaluate, and productionize methods for quantization, QAT, distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization.

  • Build high-quality prototypes in PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, then work with MLEs and platform engineers to productionize them.

  • Design rigorous evaluation methodology covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token.

  • Publish papers, technical reports, blog posts, and open-source artifacts that build external credibility for Nebius Token Factory.

  • Collaborate with MLE, GPU kernel, backend infrastructure, product, and customer teams to choose high-leverage research bets.

  • Mentor engineers and scientists on experimental design, scientific rigor, and model/system tradeoffs.

Must-haves: 

  • PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied math, or a closely related field.

  • Strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas.

  • Strong hands-on coding ability in Python and PyTorch; ability to move from idea to experiment to prototype quickly.

  • Deep understanding of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving tradeoffs.

  • Strong experimental design skills, including ablations, baselines, metrics, statistical reasoning, and failure analysis.

  • Excellent written and verbal communication.

Nice-to-haves: 

  • First-author publications in NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, HPCA, or comparable venues.

  • Experience deploying ML models or inference optimizations in production.

  • Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals.

  • Experience with post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation when connected to inference quality or efficiency.

  • Open-source research artifacts, widely used benchmarks, high-quality technical blogs, or invited talks in efficient AI systems.

Key employee benefits in the US:

  • Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.

  • 401(k) plan: Up to 4% company match with immediate vesting.

  • Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.

  • Remote work reimbursement: Up to $85/month for mobile and internet.

  • Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

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