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Remote Associate Applied Science Jobs in California

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Remote Associate Applied Science information

How can I make 2000 a week working from home?

A Remote Associate Applied Science role can potentially pay $2000 or more weekly by leveraging specialized skills, such as data analysis, research, or technical support, and working full-time hours. Increasing income may involve taking on multiple projects, developing expertise in high-demand areas, or obtaining relevant certifications to enhance earning potential.

What is the difference between Remote Associate Applied Science vs Remote Data Analyst?

AspectRemote Associate Applied ScienceRemote Data Analyst
Required CredentialsBachelor's degree in applied science, engineering, or related fieldBachelor's degree in statistics, mathematics, or related field
Work EnvironmentCollaborative, often in research or technical teamsData-focused, analytical tasks often in business or tech sectors
Employer & Industry UsageResearch institutions, tech companies, manufacturingFinance, marketing, healthcare, tech companies
Common Search & ComparisonYesYes

The Remote Associate Applied Science role typically involves applied research and technical problem-solving in scientific or engineering contexts, requiring a background in applied science. In contrast, a Remote Data Analyst focuses on interpreting data to inform business decisions, often with a background in statistics or mathematics. Both roles are remote, collaborative, and industry-relevant, but they serve different functions within organizations.

What remote jobs can you get with an Associate of applied science?

A Remote Associate Applied Science can qualify for various remote roles such as technical support specialist, data entry clerk, administrative assistant, or customer service representative. These positions often require strong communication skills, familiarity with office software, and sometimes industry-specific knowledge or certifications. Many of these jobs offer flexible schedules and can be performed using standard computer and internet access.

What can I do with my associates in applied science?

A Remote Associate in Applied Science can work in fields such as technology, healthcare, manufacturing, or engineering, often in roles like technician, analyst, or support specialist. These positions typically require technical skills, problem-solving abilities, and familiarity with industry-specific tools or software.

Is an associate's in applied science worth it?

An associate's in applied science can be valuable for roles like a Remote Associate Applied Science, as it provides practical skills and technical knowledge relevant to the job. It often leads to entry-level positions in technical fields and can serve as a stepping stone to further education or certifications, enhancing career prospects.
What are popular job titles related to Remote Associate Applied Science jobs in California? For Remote Associate Applied Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Associate Applied Science jobs in California look for? The top searched job categories for Remote Associate Applied Science jobs in California are:
What cities in California are hiring for Remote Associate Applied Science jobs? Cities in California with the most Remote Associate Applied Science job openings:
Remote Associate Applied Science jobs near you

Sr. Machine Learning Engineer, Applied Science

Pinterest

San Francisco, CA • On-site, Remote

$144K - $190K/yr

Other

Re-posted 25 days ago

Job description

Within Pinterest, the Pinterest Labs organization focuses on applied ML research and development. Labs focuses on a broad variety of AI/ML initiatives, such as core computer vision, multimodal representation learning, heterogeneous graph neural networks, generative modeling, recommender systems, etc. This is the group that develops foundation ML models that fully leverage the tens of billions of Pins and the associated knowledge graph to improve the core product.

We are currently hiring for the visual modeling team in Labs, which focuses on developing Pinterest Canvas. Canvas is a foundation text-to-image model developed internally for helping various visualization, inpainting, and outpainting products. In this role, you'll get to work with Pinterest's rich visual-text dataset to build large-scale generative models which are continuously being shipped to production to power visualization features. The core Canvas pod is a small group (~6 engineers along with a product prototyping team) inside of Labs, allowing for deep collaboration. For example, engineers working on the Canvas project also participate in the development of our core multimodal text & image embeddings, as these are in turn used to condition the model in unique ways.

What you'll do:

  • Prototype new model architectures for Pinterest Canvas, our internal text-to-image generative model. We're looking for hands-on experience working with diffusion text-to-image models and independent model implementation skills.
  • 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. 
  • 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 diffusion models.
  • 5+ 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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