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Weka Jobs in California (NOW HIRING)

WEKA

Senior Sales Engineer

San Francisco, CA · On-site

$250K - $280K/yr

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native ...

WEKA

Senior Sales Engineer

Los Angeles, CA · On-site

$250K - $280K/yr

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native ...

WEKA

Senior Sales Engineer

San Francisco, CA · On-site

$250K - $280K/yr

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native ...

WEKA

Regional Sales Manager - SoCal

Los Angeles, CA · On-site

$300K - $320K/yr

WEKA is transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh™, our intelligent, adaptive mesh storage system. Unlike traditional data ...

WEKA

Director, IT Operations

Campbell, CA · On-site

WEKA is transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh™, our intelligent, adaptive mesh storage system. Unlike traditional data ...

WEKA

Vice President, Finance & Controller

Campbell, CA · On-site

WEKA is a growth-stage company backed by world-class venture capital investors and AI infrastructure industry leaders. Our technology, purpose-built for AI, has garnered over 140 patents and is ...

WEKA

Director, IT Operations

Campbell, CA · On-site

WEKA is transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh, our intelligent, adaptive mesh storage system. Unlike traditional data ...

WEKA

Director Global Talent Acquisition

Campbell, CA · On-site

$220K - $320K/yr

WEKA is transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh™, our intelligent, adaptive mesh storage system. Unlike traditional data ...

WEKA

Director Global Talent Acquisition

Campbell, CA · On-site

$220K - $320K/yr

WEKA is transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh, our intelligent, adaptive mesh storage system. Unlike traditional data ...

Spellbrush

HPC/ML Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

Required : • Experience in HPC infrastructure engineering • Familiarity with modern HPC software landscape • Experience with SLURM, Slinky on K8s, warewulf/MAAS/ansible, WEKA/VAST/Ceph • ...

Clera

Platform Engineer (Kubernetes)

San Francisco, CA · On-site

$150K - $200K/yr

Work on distributed storage solutions using Ceph and WEKA for high-performance, scalable storage. * Create observability and monitoring systems with Prometheus and Grafana to surface cluster health ...

Cirrascale Corporation

Cloud Engineer

San Diego, CA · On-site

$121.50 - $178.75/hr

We are seeking a Cloud Engineer with deep expertise in distributed storage systems, specifically Cephand WEKA, to architect, deploy, and maintain scalable storage infrastructures supporting AI and ...

Clera

Platform Engineer (Kubernetes)

San Francisco, CA · On-site

$150K - $200K/yr

Work on distributed storage solutions using Ceph and WEKA for high-performance, scalable storage. * Create observability and monitoring systems with Prometheus and Grafana to surface cluster health ...

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Weka information

See California salary details

$45.4K

$162.9K

$240.3K

How much do weka jobs pay per year?

As of Aug 23, 2026, the average yearly pay for weka in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

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 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.

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 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 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 the most commonly searched types of Weka jobs in California?

The most popular types of Weka jobs in California are:

What are popular job titles related to Weka jobs in California?

For Weka jobs in California, the most frequently searched job titles are:

What job categories do people searching Weka jobs in California look for?

The top searched job categories for Weka jobs in California are:

What cities in California are hiring for Weka jobs?

Cities in California with the most Weka job openings:

Weka jobs near you
Infographic showing various Weka job openings in California as of August 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 64% Physical, 8% Hybrid, and 28% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Senior Sales Engineer

WEKA

San Francisco, CA • On-site

$250K - $280K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 9 days ago

Job description

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.
WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We've raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world's largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We're passionate about solving our customers' most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.
The West regional Sales Engineer will join our rapidly growing sales organization. Being a WEKA Sales Engineer will require you to partner with customers, understanding their needs and requirements, helping them to leverage the value and performance that WEKA can provide to their business and applications.
Responsibilities:
  • Meet with customers and partners to educate them on the technical aspects of WEKA
  • Assist with evaluations and system configurations
  • Build and deliver technical product and architecture presentations and demos
  • Become the advocate for WEKA customers and bring feedback back to the R&D and product management organizations
  • Become a technical adviser to your customers and periodically review their status and inform on possible improvements
  • Become an SME on WEKA and its ecosystem
  • Contribute or lead responses to RFPs, RFQs, and RFIs
  • Help in the creation and maintenance of Q&A's, best practices, and other technical documentation
  • This is a Hands-on position
    Requirements:
  • Familiar with high performance IO workloads
  • Extensive filesystems system background - Experience with NFS, SMB and distributed parallel file systems
  • Strong Linux OS knowledge
  • Data Center networking understanding
  • Experience with performance demonstrations and analysis
  • Prior experience in working at a start-up company - an advantage
  • Experience with running workloads in cloud hypervisors such as AWS, Azure, OCI or GCP
  • Scripting abilities - an advantage
  • Excellent verbal and written interpersonal skills

The WEKA Way:
  • We are Accountable: We take full ownership, always-even when things don't go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
  • We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
  • We are Collaborative: True collaboration isn't only about working together. It's about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we're unstoppable.
  • We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.

USA Residents Only: The OTE hiring wage range for this position which the Company reasonably and in good faith expects to pay for the position in the specified geographic areas or locations, is $250,000-280,000. Final compensation will be dependent on various factors relevant to the position and candidate such as geographical location, candidate qualifications, certifications, relevant job-related work experience, education, skillset and other relevant business and organizational factors, consistent with applicable law. In addition, the position may include some of the following comprehensive benefits such Medical, Dental, Vision, Life, 401(K), Flexible Time off (FTO), sick time, leave of absence as per the FMLA and other relevant leave laws.
Concerned that you don't meet every qualification above?
Studies have shown that women and people of color may be less likely to apply for jobs if they don't meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn't match up perfectly with the job description, we encourage you to apply anyway - you may be just the right candidate for this or other roles at WEKA.
WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to 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 laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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