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Computer Science Entry Level Remote Jobs in Santa Clara, CA

Member of Technical Staff

Palo Alto, CA ยท Remote

$150K - $230K/yr

Strong computer science fundamentals. Nice to Have: * Experience at a leading AI research company ... Remote work is not available for this position.

Software Engineer 2

San Jose, CA ยท Remote

$114K - $156K/yr

Software Engineer 2 Full-time Remote You'll be joining Adobe on a contract opportunity, employed ... Education in Computer Science, Engineering, or equivalent; BE or Diploma in Animation noted

Requirements: * Enrolled in an MS or PhD program pursuing a degree in Computer Science, Data ... Open to Remote Expected Contract Length: 12-months (this is a part -time role that is project based ...

Software Engineer 2

San Jose, CA ยท On-site +1

$65.32 - $81.65/hr

Education in Computer Science, Engineering, or equivalent; Bachelor's or Master's degree is a plus ... Experience working in a Scrum/Agile team and with remote teams. * Excellent written and verbal ...

... computer vision AI. This is a full-time, remote role focused on helping customers successfully ... Science, Information Systems, or a related field, or equivalent practical experience Customer ...

Showing results 21-40

Computer Science Entry Level Remote information

What are the key skills and qualifications needed to thrive in a computer science entry level remote position?

To thrive as a Computer Science Entry Level Remote professional, you need a solid understanding of programming languages (such as Python or Java), data structures, algorithms, and a relevant bachelor's degree or equivalent coursework. Familiarity with version control systems (like Git), collaborative coding platforms, and project management tools is typically required. Strong organizational skills, proactive communication, and the ability to work independently are crucial soft skills for remote work. These abilities ensure you can deliver quality technical solutions, collaborate effectively with distributed teams, and adapt to the unique demands of a remote environment.

What is a computer science entry level remote?

A Computer Science Entry Level Remote job is a position for recent graduates or individuals with minimal experience in computer science, allowing them to work from home or another remote location. These roles often involve software development, data analysis, IT support, or QA testing. Employers typically seek candidates with programming knowledge, problem-solving skills, and familiarity with technologies like Python, Java, or SQL. Remote work requires strong communication and self-discipline to collaborate effectively with teams.

What are some typical challenges faced by entry-level computer science professionals working remotely?

Entry-level computer science professionals working remotely often face challenges such as managing time effectively without direct supervision, staying motivated, and overcoming feelings of isolation. Communication can also be more complex, as remote teams rely heavily on written channels and scheduled meetings to collaborate. However, most companies provide onboarding support, mentoring programs, and regular check-ins to help new hires integrate smoothly. Developing strong self-discipline and proactively reaching out to coworkers can significantly ease the transition and contribute to long-term success in a remote role.

What are the most commonly searched types of Computer Science Remote jobs in Santa Clara, CA? The most popular types of Computer Science Remote jobs in Santa Clara, CA are:
What are popular job titles related to Computer Science Entry Level Remote jobs in Santa Clara, CA? For Computer Science Entry Level Remote jobs in Santa Clara, CA, the most frequently searched job titles are:
What cities near Santa Clara, CA are hiring for Computer Science Entry Level Remote jobs? Cities near Santa Clara, CA with the most Computer Science Entry Level Remote job openings:
Infographic showing various Computer Science Entry Level Remote job openings in Santa Clara, CA as of August 2026, with employment types broken down into 73% Full Time, 19% Part Time, and 8% Contract. Highlights an 100% Remote job distribution.

AI & Machine Learning Engineer

Sustainable Talent

Santa Clara, CA โ€ข On-site, Remote

$90 - $130/hr

Other

PTO

Re-posted 21 days ago


Job description

Sustainable Talentย is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking forย Generative AI Security Engineer to support our client's team based out of inย Santa Clara, CA with remote/ hybrid work options.ย 

This is a full-time (W-2) contract role. We offer competitive pay $90/hr - $130/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

As a Machine Learning Engineer, you'll work alongside NVIDIA's research and engineering teams, focused on AI Safety for LLMs, including multi-lingual, multi-modal, and reasoning models.ย  We value expertise in data science paired with a robust data engineering foundation.ย ย  This role is directed at assessing, and improving the safety and inclusivity of our LLM models in a scalable fashion.ย  We seek someone proficient in programming and scripting for comprehensive data manipulation, analysis, and model fine-tuning.ย  We believe in proactive problem-solving, minimal supervision, and being exceptional teammates who collaborate, think, and learn as one unit. Let's make a difference together!

What you'll be doing:

  • Develop datasets and moderator models for evaluating LLM models and end-to-end systems for Content Safety, ML Fairness. These LLM models can be txt-to-txt or multimodal-to-txt.
  • Develop datasets for training LLM models with SFT and RL techniques, for Content Safety, ML Fairness, Security and more.
  • Research and implement cutting-edge techniques for bias detection and mitigation in LLMs and systems.
  • Define and track key metrics for responsible LLM behavior and usage.
  • Follow the best practices of automation, monitoring, scale, safety.
  • Contribute to our repositories and develop safety tools to help ML teams be more effective.
  • Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets.
  • Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance.
  • Collaborate with multidisciplinary teams: Collaborate with product engineers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

What we need to see:

  • Bachelor's or Master's Degree in Computer Science or related field or equivalent experience.
  • 2+ years of work experience as a Machine Learning Engineer or Deep Learning Scientist or a similar role, with a consistent record of successfully delivering ML solutions.
  • Strong programming skills in languages such as Python. Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Proficiency in data manipulation, analysis, and visualization using tools like NumPy and pandas.
  • Deep understanding of machine learning algorithms, statistical models, and data structures.
  • Familiarity with software development practices and version control systems (e.g., Git).
  • Good at problem solving and analytical ability.
  • Excellent collaboration and communication skills.

Ways to stand out from the crowd:

  • Experience with GenAI Security including Prompt Injection Stability, Model Extraction, Confidentiality/Data Extraction, Integrity, Availability and Adversarial Robustness.
  • Experience with one or more of the following areas within Content Safety: Hate/Harassment, Sexualized, Harmful/Violent, or other specific areas from your application.
  • Experience with alignment/fine-tuning of LLMs - including regular LLMs as well as VLMsย  (Vision Language Model) or any-to-text
  • Experience with multimodal and/or multilingual Content Safety, legal and regulatory compliance.
  • Passion for AI and a demonstrated commitment to advancing the field through innovative research, prior scientific research and publication experience.

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.