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Remote Relocation Jobs in Sunnyvale, CA (NOW HIRING)

We're looking for high-velocity, high-craft remote video editors who want the best brief flow, the ... We offer visa sponsorship and can support relocation to the United States for the right candidates.

Product Designer

San Francisco, CA ยท On-site +1

$160K - $250K/yr

We fly remote teammates to SF for three to four days a month. Visa sponsorship. We sponsor visas ... All meals in the office, plus commuter benefits and relocation reimbursement if you're moving to ...

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How much do remote relocation jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote relocation in Sunnyvale, CA is $106,699.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,012.00 and $136,867.00 per year, depending on experience, location, and employer.

What is a remote relocation?

A Remote Relocation job allows employees to work from a different location while maintaining their job with an employer or client. It typically involves transitioning to a new city or country without needing to work in a physical office. Companies may offer support such as relocation assistance or legal guidance for international moves. These roles provide flexibility, but employees must consider time zones, work permits, and local regulations.

What are the key skills and qualifications needed to thrive in remote relocation, and why are they important?

To thrive in a Remote Relocation role, you need expertise in relocation logistics, knowledge of immigration and housing processes, and strong project management skills, often supported by a background in HR, real estate, or global mobility. Familiarity with relocation management software, customer relationship management (CRM) systems, and relevant certification such as GMS (Global Mobility Specialist) are common requirements. Outstanding organizational abilities, cultural sensitivity, and excellent client communication help set top performers apart. These qualifications and skills are essential for coordinating seamless transitions while addressing the unique needs of clients moving to new locations remotely.

What are the typical challenges faced in remote relocation, and how can I prepare for them?

Professionals in Remote Relocation often encounter challenges such as coordinating complex moves across time zones, managing last-minute changes to relocation plans, and navigating diverse local regulations without being on-site. To prepare, it's helpful to develop strong organizational habits, become familiar with digital tools for document management and communication, and stay up-to-date on regional legal requirements. Effective teamwork and proactive communication with clients and partner vendors are key to ensuring smooth transitions. Continual learning and adaptability will help you excel in this dynamic and rewarding field.

What are the most commonly searched types of Relocation jobs in Sunnyvale, CA?

The most popular types of Relocation jobs in Sunnyvale, CA are:

What job categories do people searching Remote Relocation jobs in Sunnyvale, CA look for?

The top searched job categories for Remote Relocation jobs in Sunnyvale, CA are:

What cities near Sunnyvale, CA are hiring for Remote Relocation jobs?

Cities near Sunnyvale, CA with the most Remote Relocation job openings:

Infographic showing various Remote Relocation job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $106,699 per year, or $51.3 per hour.

Machine Learning Engineer II, Computer Vision Applied Science

Pinterest

San Francisco, CA โ€ข On-site, Remote

$114K - $157K/yr

Full-time

Re-posted 6 days ago


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 
  • Mentor more junior researchers or research interns within the Pinterest Labs organization.


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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