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Remote Computer Science Jobs in Mountain View, CA

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Data Scientist

San Francisco, CA · Remote

Bachelor's degree in Computer Science, a related field or equivalent experience This position is not eligible for relocation assistance. #LI-REMOTE #LI-NM4

Lorven Technologies

Veeva Project Lead

Foster City, CA · On-site +1

Remote Duration: Full Time * Bachelor's degree preferably in Computer Science, Information technology, Computer Engineering, or related IT discipline or equivalent experience with 12+ Minimum ...

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Remote Computer Science information

What Are Remote Computer Science Jobs?

Remote computer science jobs include a wide variety of roles focused on the use and analysis of computers and networks, including security specialists, network administrators, and software programmers. In these roles, you may develop hardware or software, control user accounts and permissions, analyze security procedures, manage confidential information, order repairs and replacements, manage inventory levels, conduct penetration tests, or manage a full development cycle for new software. Remote computer science jobs frequently use databases, private networks, intrusion detection systems, and remote conferencing software to help coordinate jobs. This is something of a catch-all term for computer-based positions, so if you are looking for a specific role, such as a remote programmer or remote computer engineer, you may need to narrow your search terminology.

How do remote computer science professionals typically collaborate with their teams to ensure project success?

Remote computer science professionals usually rely on a mix of communication and project management tools—such as Slack, Zoom, GitHub, and Jira—to collaborate effectively with their teams. Regular virtual meetings, code reviews, and shared documentation help maintain alignment and transparency. While working remotely offers flexibility, it can also require proactive communication and self-management to avoid misunderstandings and stay on track with deliverables. Many teams adopt Agile methodologies to structure their work and foster collaboration, regardless of physical location.

What are the key skills and qualifications needed to thrive as a Remote Computer Science professional, and why are they important?

To thrive as a Remote Computer Science professional, you need strong programming skills, problem-solving abilities, and a relevant degree or equivalent experience in computer science or software engineering. Proficiency with coding languages (such as Python, Java, or C++), version control systems like Git, and remote collaboration tools (e.g., Slack, Jira, Zoom) is essential. Excellent communication, self-motivation, and time management are vital soft skills for working independently and with distributed teams. These skills and qualities enable efficient development, seamless teamwork, and successful project delivery in a remote environment.

Can I work remotely with a computer science degree?

Yes, many computer science roles can be performed remotely, especially in software development, programming, and IT support. Remote work often requires strong communication skills, proficiency with collaboration tools, and sometimes specific certifications or experience with remote work environments.

What are remote computer science jobs?

Remote computer science jobs are positions that involve the application of computer science principles—such as programming, software development, data analysis, and cybersecurity—that can be performed from any location with internet access. These roles often include software engineer, web developer, data scientist, system administrator, and more. Remote computer science professionals collaborate with teams virtually, using digital communication and project management tools. This flexibility allows employees to work from home or anywhere in the world, offering a better work-life balance and access to global job opportunities.

What jobs pay $10,000 a month without a degree?

Remote computer science roles such as software developers, web developers, and cybersecurity specialists can earn $10,000 or more per month without a formal degree, often relying on strong coding skills, certifications, and experience. Freelance work, consulting, and project-based contracts in tech fields also offer high earning potential without traditional degrees.

How can I make $100,000 a year working from home?

Remote computer science professionals can reach a $100,000 annual income by gaining specialized skills in areas like software development, data science, or cybersecurity, and obtaining relevant certifications. Building a strong portfolio, gaining experience, and working for high-paying companies or freelancing can also increase earning potential while working remotely.

How to make $1000 a week remote?

Remote computer science professionals can earn $1000 or more weekly by taking on freelance projects, consulting, or working for companies that pay competitive rates. Building in-demand skills such as programming, software development, or data analysis, and using platforms like Upwork or Freelancer, can help achieve this income level. Consistent work, strong skills, and a reliable client base are key factors.
More about Remote Computer Science jobs
What are the most commonly searched types of Computer Science jobs in Mountain View, CA? The most popular types of Computer Science jobs in Mountain View, CA are:
What are popular job titles related to Remote Computer Science jobs in Mountain View, CA? For Remote Computer Science jobs in Mountain View, CA, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science jobs in Mountain View, CA look for? The top searched job categories for Remote Computer Science jobs in Mountain View, CA are:
What cities near Mountain View, CA are hiring for Remote Computer Science jobs? Cities near Mountain View, CA with the most Remote Computer Science job openings:
Remote Computer Science jobs near you
Infographic showing various Remote Computer Science job openings in Mountain View, CA as of June 2026, with employment types broken down into 2% Internship, 72% Full Time, 15% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.
Senior Machine Learning Engineer, Computer Vision/VLM

Senior Machine Learning Engineer, Computer Vision/VLM

Waymo

San Francisco, CA • On-site, Remote

$204K - $259K/yr

Other

Posted 27 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

In Semantics, our team's mission is to create the highest-fidelity, most comprehensiveoffboard perception autolabels at a massive scale, serving as the foundation for training and validating the AV stack. We are an advanced ML and engineering team that leverages state-of-the-art computer vision, deep learning, and generative AI to automatically analyze driving logs, generate rich scene understanding, and power the data engine that enables Waymo to scale safely and efficiently.

In this hybrid role, you will report to a Technical Lead Manager.

You will:

  • Develop and train state-of-the-art computer vision / multimodal models (e.g., Gemini) to extract the rich semantic information (e.g., object attributes, scene properties, interaction dynamics) required by the AI agent.
  • Design and implement a scalable AI agent framework that integrates large foundation models (e.g., Gemini) with the outputs of our perception models and internal knowledge bases.
  • Develop and apply Fine-tuning and Reinforcement Learning (RL) techniques to create a "data flywheel," continuously improving the system's captioning and reasoning abilities through automated feedback.
  • Develop and prototype novel prompting strategies for Vision-Language Models (VLMs) to elicit complex, causal reasoning about driving scenarios.
  • Collaborate closely with the ML Infra, Perception, Behavior, and AI Foundation teams to define data requirements and integrate the captioning system into the broader ML development lifecycle.
  • Own the full system lifecycle, from advanced model development and prototyping to production deployment and scaling for massive data generation

You have:

  • Master's degree in Computer Science, or a related technical field.
  • 4+ years of hands-on experience training and shipping deep learning models for computer vision tasks (e.g., detection, segmentation, video understanding) using Python and frameworks like PyTorch, JAX, or TensorFlow.
  • 1+ years of demonstrated experience working with large language models (LLMs) or vision-language models (VLMs) in areas such as fine-tuning, prompting, or Retrieval-Augmented Generation (RAG).
  • Strong software engineering fundamentals, including designing scalable and reliable systems.
  • Experience building and managing large-scale data processing pipelines for ML training.
  • Proven ability to work autonomously and lead complex technical projects in a fast-paced R&D environment.

We prefer:

  • PhD in Computer Science, or a related technical field.
  • Publication record in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
  • Hands-on experience with Reinforcement Learning, especially RLHF, RLAIF, or applying RL to language/agentic tasks.
  • Experience with modern techniques in self-supervised, weakly-supervised, or multi-task learning for perception.
  • Experience building with AI agent frameworks (e.g., LangChain, LlamaIndex) or developing autonomous agentic systems.
  • Familiarity with the challenges of multimodal perception in robotics or autonomous driving.
  • A track record of impactful cross-functional collaboration.

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range
$204,000—$259,000 USD

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