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Temporary Machine Learning R Jobs in Santa Clara, CA

Cloudera, Inc.

Staff Software Engineer - AI

San Jose, CA · On-site

$184K - $230K/yr

Experience with data science and machine learning tools (R, Python, Tensorflow, Spark) * Deep understanding of cloud-based networking * Experience using Big Data technologies like Spark, Hive etc.

Cloudera

Staff Software Engineer - AI

San Jose, CA · Hybrid

$184K - $230K/yr

Experience with data science and machine learning tools (R, Python, Tensorflow, Spark) * Deep understanding of cloud-based networking * Experience using Big Data technologies like Spark, Hive etc.

Cloudera, Inc.

Staff Software Engineer - AI

San Jose, CA · On-site

$184K - $230K/yr

Experience with data science and machine learning tools (R, Python, Tensorflow, Spark) * Deep understanding of cloud-based networking * Experience using Big Data technologies like Spark, Hive etc.

Cloudera

Staff Software Engineer - AI

San Jose, CA · On-site

$184K - $230K/yr

Experience with data science and machine learning tools (R, Python, Tensorflow, Spark) * Deep understanding of cloud-based networking * Experience using Big Data technologies like Spark, Hive etc.

Cloudera

Staff Software Engineer - AI

San Jose, CA · Hybrid

$184K - $230K/yr

Experience with data science and machine learning tools (R, Python, Tensorflow, Spark) * Deep understanding of cloud-based networking * Experience using Big Data technologies like Spark, Hive etc.

Cloudera

Staff Software Engineer - AI

San Jose, CA · On-site

$184K - $230K/yr

Experience with data science and machine learning tools (R, Python, Tensorflow, Spark) * Deep understanding of cloud-based networking * Experience using Big Data technologies like Spark, Hive etc.

CYNET SYSTEMS

IT - AI/ML Engineer 1

San Jose, CA · On-site

$70 - $75/hr

Skills: * Proficient in machine learning frameworks (such as TensorFlow or PyTorch) and libraries (like scikit-learn). * Strong coding skills in programming languages like Python, R, or Java.

Apex Informatics

Data Scientist

Pleasanton, CA · On-site

R, Python, SLQ, etc. Experience using web services: Redshift, S3, Spark, , etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario ...

Fabergent

Sr Data Scientist

San Ramon, CA · On-site

Python (NumPy, SciPy, scikit-learn), R, Matlab, Spotfire, Tableau. Experience with data manipulation and analysis using SQL, noSQL, Java, C, SAS, and machine learning suites such as Mahout, Weka, and ...

Ceribell, Inc

Data Scientist

Sunnyvale, CA · On-site

... machine learning and algorithm development * Proficient in Python and/or Matlab and/or R or similar programming languages * Experience and interest in biological signal processing and algorithm ...

Brilent

Senior Data Scientist

San Mateo, CA · On-site

Deep knowledge of machine learning, statistics, optimization or related field * Proficient in SQL, R, Python or Java * Excellent written and verbal communication skills * Attitude to thrive in a fun ...

GRAIL

Senior Data Scientist # 4630

Menlo Park, CA · On-site

$187K/yr

Strong expertise in data analysis using Python or R * Deep understanding of modern machine learning and statistical methods * Experience developing reproducible, well-structured code in a ...

GRAIL

Senior Data Scientist # 4630

Menlo Park, CA · On-site

$187K/yr

Strong expertise in data analysis using Python or R * Deep understanding of modern machine learning and statistical methods * Experience developing reproducible, well-structured code in a ...

GRAIL

Senior Data Scientist # 4630

Menlo Park, CA

$187K/yr

Strong expertise in data analysis using Python or R * Deep understanding of modern machine learning and statistical methods * Experience developing reproducible, well-structured code in a ...

Aven

Data Scientist

Campbell, CA · On-site

Expert knowledge of a scientific computing language (such as R or Python) and SQL * Theoretical and applied expertise in statistics, machine learning and experimental design * Excellent written and ...

Cheetah Mobile

Chief Scientist - AI

Palo Alto, CA · On-site

... NLP), Machine translation, and/or video analysis * Experience with Caffe/TensorFlow/Torch or similar deep learning frameworks * Programming experience with R/Scala/C++/Python, or other related ...

Cheetah Mobile

Chief Scientist - AI

Palo Alto, CA · On-site

... NLP), Machine translation, and/or video analysis * Experience with Caffe/TensorFlow/Torch or similar deep learning frameworks * Programming experience with R/Scala/C++/Python, or other related ...

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All JobsMachine Learning R JobsTemporary Machine Learning R JobsTemporary Machine Learning R Jobs in Santa Clara, CA

Temporary Machine Learning R information

See Santa Clara, CA salary details

$29.9K

$50K

$103.4K

How much do temporary machine learning r jobs pay per year?

As of Jul 13, 2026, the average yearly pay for temporary machine learning r in Santa Clara, CA is $50,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,200.00 and $54,000.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Machine Learning R vs Data Analyst?

AspectTemporary Machine Learning RData Analyst
Required SkillsProficiency in R, machine learning algorithms, statistical modelingData visualization, SQL, basic statistical analysis
Work EnvironmentProject-based, technical teams, research-focusedBusiness units, reporting, data cleaning
CertificationsR programming, data science certificationsNone specific, often business or analytics certifications

Temporary Machine Learning R roles focus on developing predictive models using R and machine learning techniques, often in research or technical environments. Data Analysts typically handle data cleaning, visualization, and reporting for business insights. While both roles require analytical skills, Temporary Machine Learning R positions demand specialized knowledge in machine learning and R programming, making them more technical and research-oriented.

What are the most commonly searched types of Machine Learning R jobs in Santa Clara, CA? The most popular types of Machine Learning R jobs in Santa Clara, CA are:
What are popular job titles related to Temporary Machine Learning R jobs in Santa Clara, CA? For Temporary Machine Learning R jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning R jobs in Santa Clara, CA look for? The top searched job categories for Temporary Machine Learning R jobs in Santa Clara, CA are:
Temporary Machine Learning R jobs near you
Research Engineer, Bellwether, X

Research Engineer, Bellwether, X

X, the moonshot factory

Mountain View, CA • On-site

Full-time

Posted 13 hours ago

Job description

R e s e a r c h E n g i n e e r , B e l l w e t h e r , X
Software Engineering Mountain View, CA (HQ)
About the Team:
Our team - Bellwether - operates at the intersection of machine learning, geospatial data, and pressing issues with enterprise customers, governments, and more. We focus on severe weather manifestations of climate change, such as wildfires, and aim to use a wide range of data and analytics to better understand and predict what these events could mean for communities and businesses across the globe. We do this through the detection and classification of the features and patterns of the natural and built worlds, the application of cutting-edge machine learning, and the redesign of the full geo-ML workflow. This work extends into development and production-level work as well, as Bellwether also has a number of products that are live with customers. The result: tools and models that allow a range of industries to better leverage earth observation insights.
About the role:
You will be a hands-on Machine Learning engineer, contributing to all aspects of the project's development and deployment of applications. This role would guide machine learning for Bellwether's real-world products, and is not a research-based role.
Our team is small but mighty and highly collaborative, and values pair programming and cooperative ideation. We are committed to agile principles and rely heavily on this framework for efficient sprints and cycles. We are looking for passionate and driven people, who are comfortable moving between creative, big-picture thinking and specifics of how to execute. We operate in a fast-paced, fluid environment as our team moves from early stage development into production phases.
How you will make 10x impact:
  • Contribute as a key team member to the creation of new systems and processes to ensure high quality development, deployment, and maintenance of live applications in production environments
  • Create and maintain Google Cloud Platform-based infrastructure for software development and high-volume production systems.
  • Collaborate with team members, internal and external stakeholders, and help execute on the direction for future development.

What you should have:
  • PhD in Computer Science or equivalent practical experience
  • 5+ years experience with the machine learning development pipeline: research, experimentation, and ML-Ops
  • Extensive hands-on experience with Large Language Models (LLMs), multi-modal systems like Vision Language Models (VLMs), and Geospatial Foundation Models.
  • Experience in fine-tuning diverse deep learning architectures, including model validation and performance optimization.
  • Expertise in ML frameworks (e.g., PyTorch, TensorFlow/Keras/JAX) and Python libraries (e.g., NumPy, SciPy, Pandas).
  • Experience with open source tools such as: Git, TensorFlow, Apache Beam/Dataflow, Google Compute Engine.
  • Experience working on an early stage project and environment where prototype technologies are evolved into a production phase.
  • An ability to thrive in an Agile-driven team: iteratively sprinting toward goals and products, contributing new ideas, standards, and processes.
  • Experience interfacing with customers

It'd be great if you also had these:
  • Production-level experience in the geospatial industry, with a wide variety of tasks, including code development, designing for, implementing, and managing security measures and controls, troubleshooting and debugging, designing and implementing code testing processes, and monitoring deployed application's performance and health.
  • Experience working with a wide variety of geospatial data
  • Experience in Machine Learning Operations - scaling existing machine learning applications into production

The US base salary range for this full-time position is $174,000 - $255,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
An Equal Opportunity Workplace
At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you have a disability or special need that requires accommodation, please contact us at x-accommodation-request@x.team .

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