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Contractual R Programming Language Jobs in California

... programming language suitable for machine learning (e.g., Python, R, C, C++). • 5+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule). • 3+ years ...

SAS, R, SQL, S-Plus, etc.) * 1-3+ years' experience with a general-purpose programming language (e.g. C, Java, Python, etc.) * Familiarity with basic principles of distributed computing and/or ...

Advanced experience with a statistical programming language (Python or R) for in-depth data analysis, statistical modeling, and visualization (using libraries such as Pandas, NumPy, Matplotlib ...

... programming language suitable for machine learning (e.g., Python, R, C, C++). • 5+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule). • 3+ years ...

Proficiency in at least one scripting or high-level programming language (e.g., Python, MATLAB, C, VBA). * Familiarity with statistical analysis, DOE techniques (e.g., Gauge R&R, t-test, ANOVA), and ...

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Contractual R Programming Language information

What is the difference between Contractual R Programming Language vs Data Analyst?

AspectContractual R Programming LanguageData Analyst
Required skillsProficiency in R, statistical analysis, data visualizationData manipulation, statistical analysis, reporting
Work environmentProject-based, freelance or contractual rolesFull-time or part-time in organizations
Industry usageResearch, finance, healthcare, academiaBusiness, marketing, finance, healthcare

Contractual R Programming Language specialists focus on applying R for specific projects on a contractual basis, often working independently or with consulting firms. Data Analysts typically work within organizations, using R among other tools to analyze data and generate reports. While both roles require knowledge of R, Contractual R Programmers emphasize project-based work, whereas Data Analysts have broader responsibilities within a company.

What are the most commonly searched types of R Programming Language jobs in California? The most popular types of R Programming Language jobs in California are:
What are popular job titles related to Contractual R Programming Language jobs in California? For Contractual R Programming Language jobs in California, the most frequently searched job titles are:
What job categories do people searching Contractual R Programming Language jobs in California look for? The top searched job categories for Contractual R Programming Language jobs in California are:
What cities in California are hiring for Contractual R Programming Language jobs? Cities in California with the most Contractual R Programming Language job openings:
Staff Engineer

Staff Engineer

Qualcomm

San Diego, CA • On-site

Full-time

Re-posted 28 days ago


Qualcomm rating

9.6

Company rating: 9.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 209 rated software companies


Job description

Job Summary:
Qualcomm Technologies, Inc. is a leading technology innovator that drives digital transformation for a smarter, connected future. The role of Machine Learning Engineer involves creating and implementing machine learning techniques and collaborating with cross-functional teams to enhance mobile, edge, auto, and IoT products.
Responsibilities:
• Leverages advanced Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
• Models, architects, and develops advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions.
• Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with hardware teams for joint design and development.
• Develops and applies machine learning techniques into products and/or AI solutions to enable customers to do the same.
• Develops, adapts, or prototypes novel machine learning solutions aligned with and motivated by proposals or roadmaps for complex products and working features.
• Oversees and conducts experiments to train and evaluate machine learning models and/or software.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred:
• Master's degree in Computer Science, Engineering, Information Systems, or related field.
• 5+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
• 5+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
• 5+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++).
• 5+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).
• 3+ years experience working in a large matrixed organization.
• 2+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
• 1+ year in a technical leadership role with or without direct reports (only applies to positions with direct reports).
• 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Qualcomm employees say

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Qualcomm logo

About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985