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Remote R Programming Jobs in San Jose, CA (NOW HIRING)

Data Scientist

San Francisco, CA ยท On-site +1

$194K/yr

This includes collaborating with data and infrastructure engineers to automate training and ... Position is 100% remote. Salary: $194,834 per year. Requirements: * Master's degree in Data Science ...

We're seeking engineers who are energized by working on cutting-edge ASIC design and distributed ... remote roles. Cornelis Networks is seeking a Global Field CTO to serve as a highly visible ...

Staff Machine Learning Scientist

Brisbane, CA ยท On-site +1

$199K - $283K/yr

... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ... Proficiency in a general-purpose programming language: Python, R, Java, C, C++, etc. * Proficiency ...

Work with Product and Engineering teams to streamline workflow of computational analyze Contribute ... Proficient in R, Python, and SQ Previous experience working with large transcriptome data sets.

Work with Product and Engineering teams to streamline workflow of computational analyze Contribute ... Proficient in R, Python, and SQ Previous experience working with large transcriptome data sets.

Data Scientist

Mountain View, CA ยท On-site +1

$170K - $216K/yr

Waymo data scientists work hand-in-hand with engineering teams at each stage of the software ... Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a ...

Sr. Data Analyst

San Francisco, CA ยท On-site +1

$90K - $130K/yr

... programming tools (SQL, R, Python, etc.) - Experience with product and marketing analytics and ... Global remote flexibility - The opportunity to directly influence the future of no-code and AI ...

Sr. Data Analyst

San Francisco, CA ยท Remote

$90K - $130K/yr

... programming tools (SQL, R, Python, etc.) - Experience with product and marketing analytics and ... Global remote flexibility - The opportunity to directly influence the future of no-code and AI ...

Senior Data Scientist

Mountain View, CA ยท On-site +1

$204K - $259K/yr

Waymo data scientists work hand-in-hand with engineering teams at each stage of the software ... Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a ...

Data Scientist

San Francisco, CA ยท On-site +1

$194K/yr

This includes collaborating with data and infrastructure engineers to automate training and ... Position is 100% remote. Salary: $194,834 per year. Requirements: * Master's degree in Data Science ...

Quantitative Research Assistant

San Francisco, CA ยท On-site +1

$22.75 - $31.25/hr

The decision to allow remote work at the employee's convenience is based on the requirements of the ... Fluency with major statistical package (e.g., SPSS, SAS, R, or Stata). * Ability to balance ...

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Remote R Programming information

See San Jose, CA salary details

$93.8K

$145.3K

$177K

How much do remote r programming jobs pay per year?

As of Jul 22, 2026, the average yearly pay for remote r programming in San Jose, CA is $145,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,800.00 and $163,500.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks a Remote R Programmer might work on?

Remote R Programmers often work on projects involving data cleaning, statistical modeling, and creating data visualizations for business or scientific insights. They may be responsible for developing automated data workflows, building predictive models, or generating reproducible reports using R Markdown or Shiny dashboards. Additionally, remote work usually requires frequent collaboration with data scientists, analysts, or cross-functional teams via virtual meetings and project management platforms. This role allows you to contribute to diverse industries, ranging from healthcare to finance, and offers opportunities to continuously expand your technical expertise.

What is a Remote R Programming job?

A Remote R Programming job involves using the R programming language for data analysis, statistical modeling, and visualization while working from a remote location. Professionals in this role may work in fields such as data science, finance, healthcare, or research. Tasks often include data cleaning, building predictive models, and generating reports using R packages like ggplot2, dplyr, and tidymodels. Remote R programmers typically collaborate with teams through online communication tools and version control systems like Git. This role requires strong analytical skills and the ability to work independently while delivering data-driven insights.

What are the key skills and qualifications needed to thrive in the Remote R Programming position, and why are they important?

To thrive as a Remote R Programmer, you need strong proficiency in R programming, data analysis, and statistics, typically supported by a degree in a quantitative field such as computer science, statistics, or data science. Familiarity with version control systems like Git, data visualization libraries (e.g., ggplot2), and experience with cloud-based collaboration tools is highly valued. Excellent communication skills, self-motivation, and the ability to work independently are important soft skills for remote success. These competencies ensure that you can efficiently deliver high-quality analytical solutions and collaborate with distributed teams.

What are popular job titles related to Remote R Programming jobs in San Jose, CA? For Remote R Programming jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Remote R Programming jobs in San Jose, CA look for? The top searched job categories for Remote R Programming jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Remote R Programming jobs? Cities near San Jose, CA with the most Remote R Programming job openings:
Infographic showing various Remote R Programming job openings in San Jose, CA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $145,326 per year, or $69.9 per hour.
Sr. Machine Learning Engineer, Responsible AI- Applied Research Science

Sr. Machine Learning Engineer, Responsible AI- Applied Research Science

Pinterest

San Francisco, CA โ€ข On-site, Remote

$107K - $147K/yr

Other

Posted 9 days ago


Job description

The Responsible AI team is part of the Advanced Technologies Group (ATG), Pinterest's advanced machine learning team. ATG's goal is to keep Pinterest at the forefront of machine learning technology across multiple use cases including recommendations, ranking, content understanding, and more. It is an applied team that works horizontally across the company on state of the art AI and ML and works on directly bringing that technology to the product in collaboration with product engineering teams. The team also publishes its work in applied research conferences, but the main goal of the team is to have a direct impact on business metrics.

At Pinterest our goal is to inspire pinners (our users) to live the life they love. The product is powered by state of the art ML algorithms which are used to understand both the billions of visually rich items on the platform and the interests of our 550M+ monthly active users and recommend inspiring personalized content to them. What this means is that ML at Pinterest is not only multi-modal utilizing image, text, and graph signals as input, but it needs to operate at a very large scale and often in a real time interactive user experience.

Pinterest is known for being a positive and inspirational place on the internet and we believe that inspiration begins with representation and belonging. The Responsible AI team is a horizontal team that collaborates across the company on various initiatives. These range from Generative AI alignment, evaluation, and mitigations - ensuring these models are safe, bias-free, and aligned with Pinterest's vision and policies - to championing ML Fairness and developing user-facing features that enhance our product for all users. This includes launching groundbreaking features such as user-controllable skin tone, hair pattern search refinements, and more recently, body type.

We are looking for a Sr Machine Learning Engineer. You'll help shape forward-thinking projects, develop advanced ML approaches rooted in fairness and equitability, and pioneer responsible AI safeguards for emerging technologies. By joining this team, you'll make a lasting impact on our Pinners, our business, and the evolution of ethical AI at Pinterest.

What you'll do:

  • Design and drive projects in the responsible AI frontier to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest. These include but are not limited to Gen AI product evaluations, foundation models safety fine tuning and alignment, and Red Teaming.ย 
  • Collaborate with other engineering teams (trust and safety, ML Platform, Content Understanding, Search, Homefeed,) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Responsible AI practices and ML Fairness tooling across Pinterest.
  • Mentor junior engineers on the Responsible AI team and across the company on the R-AI space.
  • Work with the team and senior leaders at the company to define and drive technical strategy in this area.

What we're looking for:

  • Extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology - spanning fairness, ethics, and broader societal considerations.
  • Deep familiarity with cutting-edge ML architectures (e.g., transformer-based models, 2-tower architectures, LLMs and VLMS) and their applications in large-scale Search and Recommender Systems.
  • Proven ability to measure, deploy, and refine fairness interventions and broader Responsible AI solutions at scale, bridging state-of-the-art research with tangible product impact.
  • 4+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
  • 1+ years experience leading cross-team engineering efforts.
  • Masters or PhD in Comp Sci or related fields

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
  • Expertise in scalable realtime systems that process stream data
  • Passion for applied research and the Pinterest product

Relocation Statement:

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

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 per quarter and therefore can be situated anywhere in the United States.ย 

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