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Familiarity with data lake, data fabric, Apache Iceberg, vector databases, object stores, non-SQL database concepts. Experience with statistics/machine learning packages like TensorFlow, Pytorch, Scipy, Keras, Numpy, Pandas, or Spark MLlib.
$107,000 - $162,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Minimum 5+ years experience with machine learning Apache Spark. Experience in developing tools and data pipelines using Apache Spark and Python or similar tools. Experience in machine learning is a big plus.
$125,000 - $135,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Demonstrated experience with data-oriented workflow orchestration tools within the Azure ecosystem, such as Azure Data Factory or Azure Logic Apps, or external tools like Apache Airflow, ML flow, or Argo, required.
$90,000 - $115,000 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Apply machine learning techniques using Apache Spark to extract insights from large datasets. Extensive experience with machine learning using Apache Spark. The ideal candidate will contribute to our data warehouse team project, leveraging their expertise in software engineering, data engineering, Python, and machine learning.
$65 - $70 an hourExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Minimum years experience with machine learning Apache Spark. If you possess machine learning expertise, you'll have the opportunity to leverage it to extract invaluable insights from our data streams.
ExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals/conferences. 3+ years experience with developing Machine learning solutions and architectures for Natural language processing domain.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Develop and adjust benchmarking suites and methodologies for various software technologies such as Java, Golang, open-source database, Apache Kafka, and machine learning applications. Deep understanding of Linux kernel, compilers, middleware technologies (Java, Golang, TensorFlow, PyTorch), and container environments (Kubernetes, Docker.
$65 - $85 an hourExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Deep understanding of Linux kernel, compilers, middleware technologies (Java, Golang, TensorFlow, PyTorch), and container environments (KClientnetes, Docker). Additional expertise in application specific benchmarks for databases, event streaming, Golang, etc would be beneficial.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Familiarity with Apache, Spark, or similar frameworks for processing large datasets. 3+ years of experience in a bioinformatics, data science, or machine learning leadership role. The ideal candidate will have a strong background in data science, with proven experience in machine learning, statistical analysis, and big data technologies.
$145,000 - $196,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience debugging and optimizing large scale data pipelines using Apache Spark. The Machine Learning Infrastructure organization provides infrastructure and support to run machine learning workflows and ship to production, tooling and operational capacity to accelerate the use of these workflows, and opinionated technical guidance to guide our users onto successful paths.
$254,600 - $382,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with tools like Apache Spark or Ray is a plus. Experience managing projects with one of the following workloads: ML (e.g., training and deploying large machine learning models) or HPC (e.g., deploying Hardware and Software needed to run large batch compute jobs.
$124,000 - $247,250 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Deep understanding of cloud platforms (AWS, Google Cloud, Azure) and big data technologies (Apache Spark, Kafka) Implement advanced machine learning algorithms into practical, scalable applications that are integrated into broader systems.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Expertise with modern batch analytics (e.g. Apache Spark using Hudi and S3). DomainTools constantly monitors the Internet and brings together the most comprehensive and trusted domain, website and DNS data to provide immediate context and machine-learning driven risk analytics delivered in near real-time.
$150,000 - $200,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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If you're passionate about building scalable pipelines for state of the art production machine learning models and thrive in a fast-paced, collaborative environment, we'd love to hear from you.
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1 year of experience with Big Data in cloud computing platforms, such as Google Cloud Platform, Amazon Web Services, Microsoft Azure, Apache Spark, Snowflake, Databricks, or a similar cloud computing platform.
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machine apache jobs in Bellevue, WA
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When Rage Applying Strikes: How to Identify Unserious Candidates
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How to Increase Job Ad Exposure
In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
How to Navigate Hiring Out of State
The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).
Building a Candidate Pipeline Through Internships
Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.
Recruitment strategies that are weird, but actually work
In the current candidate-driven job market, recruiters are looking for unique ways to attract talent. Some have resorted to even (dare we say it?) recruitment strategies on the border of weird and wacky. What can we learn from the unusual recruitment tactics that are being used and actually getting results? Here’s a rundown of some unique recruitment strategies that actually work.