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Computer Science Entry Level Remote Jobs in San Jose, CA

B achelor's degree in Computer Science, Software Engineering, or a related field. * P roven ... F lexible working hours and remote work options. * O pportunities for professional development and ...

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 ...

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Computer Science Entry Level Remote information

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 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 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 San Jose, CA?

The most popular types of Computer Science Remote jobs in San Jose, CA are:

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For Computer Science Entry Level Remote jobs in San Jose, CA, the most frequently searched job titles are:

What cities near San Jose, CA are hiring for Computer Science Entry Level Remote jobs?

Cities near San Jose, CA with the most Computer Science Entry Level Remote job openings:

Infographic showing various Computer Science Entry Level Remote job openings in San Jose, CA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution.

Machine Learning Engineer II, Visual AI

San Francisco, CA โ€ข On-site, Remote

Pinterest
Internet and ITย โ€ขย 1 - 5K employees

$114K - $157K/yr

Full-time

Re-posted yesterday


Job description

The Pinterest Labs group is dedicated to the development and research of applied machine learning. Our initiatives span a diverse range of AI/ML fields, including fundamental computer vision, multimodal large language models, multimodal representation learning, generative modeling, heterogeneous graph neural networks, and recommender systems. By building foundation ML models that utilize our extensive knowledge graph and billions of Pins, we aim to significantly enhance the core Pinterest product.

Our visual modeling team is currently seeking new members to focus on the advancement of vision-centric LLMs. We are building VLMs capable of perceiving intricate visual details and understanding user aesthetics to facilitate communication through visual assets using tools like multimodal search and text-to-image models. This role offers the opportunity to work with Pinterest's unique visual-text datasets to develop large-scale generative models for production. You will join the core visual pod, a collaborative group of approximately six engineers and a product prototyping team, to create specialized evaluation benchmarks and contribute to the broader research community.

What you'll do:

  • Prototype new model architectures for Pinterest VLMs. We're looking for hands-on experience working with finetuning open-source LLM models and improve their visual perception and tool using capabilities.
  • Develop new evaluation benchmarks that tailors to vision-centric capabilities such as fashion style recommendations.
  • Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company.
  • Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc.
  • Publish and publicize your work via conferences, paper submissions, blog posts, etc.ย 


What we're looking for:

  • Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of visual encoders and LLMs.
  • 2+ years of industry computer vision experience.
  • M.S. or PhD in Machine Learning, Computer Science, or related areas.


Nice to Have:

  • Publications at top ML conferences.
  • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
  • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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