ZipRecruiter

Log In

1

Weka Jobs (NOW HIRING)

STEMtech

Data Scientist

Atlanta, GA · On-site

Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable * Great communication skills * Experience with data ...

Advanced Micro Devices

Storage Engineer

Austin, TX · On-site

$100 - $140/hr

Architect, deploy, and manage the complete lifecycle of Pure, NetApp, and Weka storage appliances across our global fleet * Drive incident response for storage-related events, establish and maintain ...

STEMtech

Data Scientist

Atlanta, GA

Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable * Great communication skills * Experience with data ...

Ai2

Director of AI Infrastructure

Seattle, WA · On-site

... WEKA, Ceph, Lustre) and cloud storage integration at scale. • Proficient in Go or Python, with the ability to review architecture and code for our internal tooling. Company : We are a Seattle-based ...

Nttlimited

... VAST, WEKA, DDN, Pure FlashBlade, NetApp ONTAP AI, Dell PowerScale). * Define the supporting datacenter design: high-density power (50-140 kW/rack), direct-to-chip and rear-door liquid cooling ...

Motocol

Data analytics Architect

San Jose, CA

Weka, Mahout, Sci-kit); Practical experience with the Scala programming language (desirable); Practical experience with the Play web framework (desirable); High-level knowledge on the Spark eco ...

Mirantis

Technical Product Manager, AI Storage

Austin, TX

$165K - $191K/yr

You will shape how k0rdent AI reasons about parallel file systems (Lustre, GPFS, BeeGFS, WEKA, VAST, DAOS), S3-compatible object stores for training data and checkpoints, automated tiering between ...

Mirantis

Technical Product Manager, AI Storage

Austin, TX · On-site +1

$165K - $191K/yr

You will shape how k0rdent AI reasons about parallel file systems (Lustre, GPFS, BeeGFS, WEKA, VAST, DAOS), S3-compatible object stores for training data and checkpoints, automated tiering between ...

Uottawa

APTPUO-Winter 2027-MEM5300 A (online)

Campus, IL · On-site

$239.47/hr

Familiarity with tools such as RapidMiner, WEKA, and other data mining platforms. * Knowledge of scripting or programming languages (e.g., Python, R, SQL) * Experience with integrating SPSS Modeler ...

Ai2

Director of AI Infrastructure

Seattle, WA · On-site

... WEKA, Ceph, Lustre) and cloud storage integration at scale. • Proficient in Go or Python, with the ability to review architecture and code for our internal tooling. Company : We are a Seattle-based ...

NTT Ltd.

... VAST, WEKA, DDN, Pure FlashBlade, NetApp ONTAP AI, Dell PowerScale). * Define the supporting datacenter design: high-density power (50-140 kW/rack), direct-to-chip and rear-door liquid cooling ...

ITR

HPC Linux Administrator

Oak Ridge, TN

Extensive experience with High Performance Parallel File Systems (Lustre, WEKA, GPFS, etc). * Experience with performance and diagnostic tools for benchmarking, analysis, and tuning of systems ...

Fabergent

Sr Data Scientist

San Ramon, CA · On-site

Experience with data manipulation and analysis using SQL, noSQL, Java, C, SAS, and machine learning suites such as Mahout, Weka, and RapidMiner. Experience with cloud computing and Hadoop (MapReduce ...

previous page

Showing results 41-60

All JobsWeka Jobs

WEKA information

See salary details

$46K

$165K

$243.5K

How much do weka jobs pay per year?

As of Aug 12, 2026, the average yearly pay for weka in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Weka vs Data Scientist?

AspectWekaData Scientist
Required CredentialsKnowledge of machine learning, data mining, basic programmingAdvanced degrees (BSc, MSc, PhD) in data science, statistics, or related fields
Work EnvironmentPrimarily research, data analysis, and model development in labs or officesCross-functional teams, business settings, often involving data visualization and communication
Industry UsageUsed in academia, research, and some industries for data mining and machine learning tasksWidely used across industries for data analysis, predictive modeling, and strategic insights

Weka is a data mining software mainly used for machine learning and data analysis, often by researchers and students. Data scientists have a broader role, combining programming, statistical analysis, and business understanding to extract insights from data. While Weka is a tool for specific tasks, data scientists encompass a wider skill set and work in diverse environments.

What are some common challenges faced by data scientists using Weka in a professional environment?

Data scientists using Weka often encounter challenges related to integrating Weka with larger data pipelines and handling big datasets, as Weka is primarily designed for moderate-sized datasets and may require additional steps for scalability. Additionally, adapting Weka’s GUI-based workflows to automated or production environments can take extra effort, often necessitating the use of Weka’s command-line interface or Java API. Collaborating with team members who use different tools may also require exporting models or data in compatible formats to ensure smooth workflow integration.

What is a Weka?

A Weka job typically refers to work related to the Weka software, an open-source machine learning tool. It involves tasks such as data preprocessing, model training, and evaluation using Weka's GUI or command-line interface. Professionals in this role often apply Weka for data analysis, classification, clustering, and prediction. Knowledge of machine learning algorithms and experience with Weka's functionalities are essential for effectively using the tool in research or industry applications.

What are the key skills and qualifications needed to thrive as a Weka data analyst?

To thrive as a Weka Data Analyst, you need a strong background in data analysis, statistics, and machine learning, typically supported by a relevant degree in computer science or data science. Proficiency in using the Weka software suite, familiarity with data preprocessing techniques, and knowledge of related tools like Python or R are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret results and present findings clearly. These skills ensure accurate data-driven insights and effective implementation of machine learning models for business or research objectives.

What is Weka used for?

Weka is an open-source software suite for machine learning and data mining tasks. It provides a collection of visualization tools and algorithms for data analysis and predictive modeling, making it accessible for both beginners and experienced users. Weka is widely used for tasks like data preprocessing, classification, regression, clustering, and association rule mining. Its user-friendly interface and support for various machine learning techniques make it popular in research, teaching, and practical data science projects.
More about WEKA jobs
What cities are hiring for Weka jobs? Cities with the most Weka job openings:
What are the most commonly searched types of Weka jobs? The most popular types of Weka jobs are:
What states have the most Weka jobs? States with the most job openings for Weka jobs include:
What job categories do people searching Weka jobs look for? The top searched job categories for Weka jobs are:
WEKA jobs near you
Infographic showing various Weka job openings in the United States as of August 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Network Engineer - NE 1 TS/SCI Poly required

EMTAK LLC

Annapolis Junction, MD

Full-time

Re-posted 29 days ago

Job description

Network Engineer L1

We are seeking a Network Engineer to support enterprise and high-performance computing (HPC) environments within the Intelligence Community. The ideal candidate will have experience with enterprise networking, storage networking, routing and switching, and troubleshooting complex network infrastructures.

Required Technical Skills
  • Strong understanding of the TCP/IP protocol stack
  • Experience with Layer 2 and Layer 3 networking
  • Hands-on experience with Cisco networking equipment and operating systems
  • Experience with routing, switching, firewalls, VPNs, and network access controls
  • Experience troubleshooting enterprise or datacenter network environments
  • Ability to support operational and on-call requirements
Desired Storage Fabric / HPC Experience
  • Lustre file system configuration, administration, and troubleshooting
  • Experience with DDN Exascaler file system appliances
  • Storage networking and storage fabrics
  • Experience with Cisco, Juniper, and Arista networking platforms
  • Familiarity with E1000, ESNet, DAOS, and WEKA
  • Experience with performance benchmarking tools such as IOR, iperf, FIO, and lnet_selftest
Required Qualifications
  • Bachelor's degree and 3+ years of Network Engineering experience, or 5+ years of experience without a degree
  • Experience supporting enterprise or datacenter network environments
  • Active TS/SCI with Full Scope Polygraph required