- UpvoteDownvoteShare Job
- Suggest Revision
You'll improve search latency and relevancy using large scale data systems and machine learning. You have experience in backend engineering, data infrastructure, search infrastructure or natural language processing/machine learning.
ExpandUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Experience with machine learning/big data at scale (GPU, Docker and Kubernetes) Specific Skillset We're looking to augment our existing team with someone who has deep experience in managing a large Elasticsearch cluster indexing machine learning vectors that power many features in our product including dataset search.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Working knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack Experience with Big Data Frameworks, such as hadoop, spark, flink, etc.
$194,000 - $355,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems. Job requirements- Experience in leading an engineering team- Experience in developing and deploying large-scale machine learning systems.
$199,500 - $340,100 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience in building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization, or search, etc. Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience in building large-scale machine learning infrastructure for online recommendation, ads ranking, personalization, search, NLP, etc. Preferred to have knowledge of machine learning, data mining, information retrieval, statistics or natural language processing.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Full-timeExpandUpdated 21 days ago - UpvoteDownvoteShare Job
- Suggest Revision
End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Java or Golang;•Effective communication skills and a sense of ownership and drive;•Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.
ExpandUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization.
ExpandUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Create groundbreaking technology for large scale systems, spoken language, big data, and artificial intelligence. You should be passionate about taking machine learning model inference algorithms into production.
ExpandUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Engage with Machine Learning Engineers to determine how data quality variations influence LLM model performance. We are looking for an enthusiastic and technology-proficient Senior Data Scientist, who is eager to participate in design and implementation of a top-notch big data solution that will be deployed at a massive scale.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience in developing and deploying large-scale machine learning systems. - Experience contributing to an open sourced machine learning framework (tensorflow / jax / pytorch / torchscript / mxnet / tensorrt.
ExpandUpdated 10 days ago - UpvoteDownvoteShare Job
- Suggest Revision
You will have the chance to leverage your knowledge and experience from Information Retrieval, Deep Learning, Natual Language Processing, Large Language Models, Ranking, and Recommender Systems and work with high caliber, cross functional teams consisting of Product Managers, Engineers, Analysts and User Researchers to build large-scale, real-time distributed machine learning systems that power the Search and Recommendation experience for a truly iconic personalized experience.
Part-timeExpandUpdated 14 days ago
search data machine learning scale big jobs
FEATURED BLOG POSTS
Why Cover Letters Are Important & How To Write One | Job\Searcher
Most people completely waste their cover letter real estate. Your cover letter is another opportunity to speak directly about how your background and capabilities align with the opportunity you seek. It also allows you to introduce your personality a bit more than a resume does. So, why are cover letters important? Because you can stand out, big time, with a custom cover letter directed to the right person.
Hiring Again After Mass Layoffs
It's never an easy decision to let members of your staff go, but depending on the state of your business, mass layoffs may have been the only way to survive. Now that you're months into the future, you may find yourself itching to start hiring again after previous layoffs.
Into the Heart of the Ukrainian-Russian Conflict
The story of our US-Ukraine connection started when Kevin met Dave. Days away from quitting his last "real" job as a seafood plant manager, Kevin reconnected with a long-lost friend from high school. Little did he know, this long-lost friend was dating his soon-to-be business partner. After meeting Dave through their mutual connection, it didn't take long for the two to start bouncing business ideas off each other. The flow of creativity soon grew into a business partnership that has withstood the test of time.
Why Are Internships Important & How Can You Get One?
Internships are for college students or people who have just completed their degree. If you are a student or recent grad, you may be wondering how to land an internship. If you've never had one, you may even wonder if you need one. After all, didn’t you work in that call center while also doing exams? Or perhaps you’ve bartended your first year in college?
Why is Networking Important & How to Network Effectively
Even if you’ve worked hard to earn a degree from an impressive school, landing your dream job might still come down to who you know – otherwise known as networking. Lots of qualified candidates might apply for a job, but the person who gets it might very well be so-and-so’s sibling, friend, or kid. Sometimes the only way to get your foot in the door is to know someone.
Why Do Recruiters Ghost and What Can You Do About It?
Once you’ve finally mustered up the courage to find another job, leaning into the job hunt can feel scary and overwhelming. So, it does nothing to help your confidence when your outbox is full of unanswered follow-ups and interview requests. You thought that ghosting only happens on dating apps—so why do recruiters ghost, too? Recruiter ghosting is not an effective recruiting strategy, but sometimes it’s inevitable. How can you overcome such an unfortunate new career trend? Read on.
Internal Hiring Best Practices
Each companies hiring strategy is based on a set of rules that defines the ideal candidate. Many companies utilize internal and external hiring to ensure they have skilled, experienced workers. If you work in recruiting, maximizing your internal hiring strategies could be the key to retaining employees and simplifying your hiring process.