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

... new security R&D. Your work will inform analysis delivered to senior government and industry ... Required: * Technical experience in security engineering, software engineering, firmware ...

... engineering, artificial intelligence, robotics, remote sensing, applied mathematics, operations ... DETR, Mask R-CNN, Mask2Former, Vision Transformers, or related architectures is desirable. • ...

Senior Data Modeler I

Redwood City, CA · On-site +1

$90K - $130K/yr

... engineers to develop and maintain clinical data models. * Translate customer needs and product ... Experience with real world data analysis in Python or R. * Participation in professional ...

Software Engineer, Growth

San Francisco, CA · On-site +1

$194K - $296K/yr

Software Engineer, Growth Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic ... If you're located beyond that distance, the role is fully remote. For location-specific details ...

Staff Machine Learning Scientist

Brisbane, CA · 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 ...

Senior Machine Learning Scientist

Brisbane, CA · On-site +1

$110K - $150K/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 ...

Data Scientist

San Francisco, CA · 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 ...

Data Scientist

Mountain View, CA · 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 ...

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Remote R Programmer information

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$93.8K

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How much do remote r programmer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote r programmer 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 does a typical day look like for a Remote R Programmer?

A typical day for a Remote R Programmer involves writing and testing R scripts, analyzing large datasets, creating data visualizations, and preparing reports for team review. You may have regular check-ins or stand-up meetings with data scientists, project managers, or stakeholders to discuss project progress and address any technical challenges. Collaboration often occurs via digital communication platforms, with an emphasis on documenting code and sharing updates regularly. The remote nature of the role requires self-discipline, clear communication, and proactive problem-solving to ensure project goals are met efficiently.

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

A Remote R Programmer requires strong proficiency in R programming, data analysis, and statistical modeling, typically backed by a degree in computer science, statistics, or a related field. Familiarity with tools like RStudio, version control systems (e.g., Git), and experience with relevant data visualization or reporting libraries are commonly expected. Excellent problem-solving skills, self-motivation, and effective communication are crucial for remote collaboration and project delivery. These competencies ensure the programmer can independently develop, deploy, and maintain analytical solutions while contributing effectively to distributed teams.

What is a Remote R Programmer job?

A Remote R Programmer is a professional who develops, analyzes, and optimizes data-driven solutions using the R programming language while working remotely. They typically handle statistical modeling, data visualization, and automation for various industries such as healthcare, finance, and research. This role often requires proficiency in R packages, data manipulation, and possibly integration with other tools like SQL or Python. Remote R Programmers collaborate with teams through virtual communication and use cloud-based or local development environments.

What are the most commonly searched types of R Programmer jobs in San Jose, CA? The most popular types of R Programmer jobs in San Jose, CA are:
What are popular job titles related to Remote R Programmer jobs in San Jose, CA? For Remote R Programmer jobs in San Jose, CA, the most frequently searched job titles are:
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Research Engineer - Training Infra

Research Engineer - Training Infra

Snorkel AI

Redwood City, CA • On-site, Remote

Full-time

Posted 29 days ago


Job description

About Snorkel
At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data.
We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
THE ROLE
As an Applied Research Engineer at Snorkel AI, you will own the infrastructure that powers our model training and evaluation work. This is a hands-on role where you will build and operate GPU cluster infrastructure, training pipelines, and the tooling that allows our research and engineering teams to run experiments reliably and at scale. You will work closely with research scientists and engineers, translating training requirements into robust, reproducible systems-and proactively removing infrastructure blockers before they slow down the work that matters most.
Snorkel AI operates in a fast-paced, high-impact environment. We are looking for someone who takes pride in operational excellence, loves solving complex distributed systems problems, and thrives when given real ownership.
Location: Redwood City or San Francisco - OR REMOTE
MAIN RESPONSIBILITIES
  • Set up and manage GPU cluster infrastructure on major cloud providers (e.g., AWS HyperPod) for distributed model training, including networking, provisioning, and cost tracking.
  • Build and operate job orchestration and scheduling systems (e.g., Kubernetes, Slurm, or cloud-native equivalents) to reliably launch and manage training, rollout, and evaluation jobs across multi-node clusters.
  • Integrate and maintain ML training frameworks and post-training pipelines, ensuring they run stably and reproducibly at scale.
  • Set up and maintain experiment tracking, dataset versioning, and model artifact management to support fast iteration.
  • Monitor and optimize cluster health, inter-node communication, and resource utilization; implement fault tolerance and auto-recovery so long-running jobs survive node failures.
  • Work closely with research scientists and ML engineers to understand requirements, unblock experiments, and evolve infrastructure as our training workloads needs change.

PREFERRED QUALIFICATIONS
  • Hands-on experience managing GPU clusters on major cloud providers, including provisioning, network configuration, and cost management.
  • Experience with distributed compute orchestration tools such as Kubernetes, Slurm, or equivalent cluster management systems.
  • Working knowledge of distributed training concepts: parallelism strategies, memory optimization techniques, and inter-node communication.
  • Experience with setting up, managing, and integrating ML experiment tracking and data/model versioning tools..
  • Strong Python proficiency and solid software engineering fundamentals such as version control, modular design, and automation.
  • Ability to work in a fast-moving, iterative environment and take end-to-end ownership of ambiguous infrastructure problems.
  • Hands-on experience with post-training workflows such as supervised fine-tuning (SFT) or reinforcement learning (RLHF, GRPO, or similar) is a strong plus, but not required.

This role is a great fit for engineers who love building reliable systems close to the frontier of AI research. We welcome applicants from a wide range of backgrounds-whether your experience comes from industry, research labs, or direct hands-on work with distributed infrastructure at scale.
BE YOUR BEST AT SNORKEL
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly-offering a unique combination of stability and the excitement of high growth. As a member of our team, you'll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you're looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you're fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Salary Range
$180,000-$250,000 USD
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly-offering a unique combination of stability and the excitement of high growth. As a member of our team, you'll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you're looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you're fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.