- UpvoteDownvoteShare Job
- Suggest Revision
You are hands-on and have strong programming skills and background in one or more of the following AI/ML domains: deep learning, natural language processing (NLP), and analytics. Experience with machine learning platforms and distributed systems such as AWS sagemaker, Google Cloud Vertex AI, Azure ML Studio, Databricks.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with building stream-processing systems, using solutions such as Kafka, Storm or Spark-Streaming. Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Completed a Bachelor’s and/or Master’s degree related to Computer Science, Statistics or related major studying AI (artificial intelligence), ML (machine learning), NLP (natural language processing), Data Science or Mathematics.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Established expertise and genuine passion for natural language processing (NLP), machine learning, deep learning, and large language models. Experience training, fine-tuning and deploying large language models (LLM.
ExpandUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, AI applied to chemistry or material science, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR. 10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc.
$226,000 - $361,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience designing and building highly available, distributed systems of data extraction, ingestion, normalization and processing of large data sets in real time as well as batch, that will be used across engineering teams using orchestration frameworks like Airflow, KubeFlow or other pipeline tools.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Conduct research and development of Natural Language Processing (NLP) models, and collaborate with engineers to bring these models into production. In this role, you will: Our team is looking for someone passionate about Natural Language Processing.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Explore and build proof of concepts using open source NOSQL technologies such as HBase, DynamoDB, Cassandra and Distributed Stream Processing frameworks like Apache Spark, Kafka stream. Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem.
RemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
You fit well if you have great experience in modern natural language processing dl based methods, if you can take some idea or business task, find good open source or implement simple methods to create prototype, package all of this for demo and always have ideas on how to iteratively improve (better quality, faster for inference, other workflows.
ExpandUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience in one or more of the following: computer vision (e.g. tracking, pose estimation, action recognition), computer graphics (e.g. appearance, geometry, physically-based modeling), robotics (state estimation, optimal control), machine learning (e.g. efficient deep learning, domain adaptation, transfer learning), natural language processing, or human-computer interaction.
$7,650 - $11,333 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Are you a seasoned Machine Learning researcher with a deep passion for Natural Language Processing (NLP) and Large Language Models (LLM)? Perform research to tackle unsolved real-world problems and push the state of the art in natural language processing, large language modeling (and more broadly in generative AI) across multiple fronts (like, reliability, safety and speed) of LLM powered tech.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Knowledge of machine learning techniques and natural language processing (NLP) We support startups working at the forefront of synthetic biology, energy, food, health care, space, construction, genomics, and many other industries.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Our technology stack includes Java and Python as well as a wide range of internal tools built on top of Apache Spark, TensorFlow, and other Big Data technologies. Our technology stack includes Java and Python as well as a wide range of internal tools built on top of Apache Spark, TensorFlow, and other Big Data technologies.
$164,200 - $241,700Full-timeExpandUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Enable/Support platform to do distributed data processing using Apache Spark and other distributed / scale technologies. Good understanding of distributed system like Spark and Kafka - Good to Have => 5/10.
ExpandApply NowActive JobUpdated Today
natural language processing spark jobs in San Francisco, CA
FEATURED BLOG POSTS
How Does Temp to Hire Work? Benefits, Concerns, & More
Whether you’re just starting out your career or are looking for the next opportunity, the job market has never been more burgeoning with opportunities. From flexible work options and freelancing gigs to seasonal and temp-to-hire work, people today are spoiled for choice when it comes to finding engaging and fulfilling work.
Explore Your Skill and Find the Best Way to Make Money From Home
When you just can’t stomach another drive-thru coffee on your morning commute, close your navigation app on your phone and search for easy ways to make money from home instead. With a computer and some niche skills, there are countless opportunities for you to earn a living from your couch. (Okay, fine, your home office.) Below, we’ll explore 30 different ways to make money from home, as well as a few “too-good-too-be-true" warning signs to know to keep you from booking the wrong remote gig.
Learn How to Respond to an Interview Request With Templates
Job interviews are an inevitable part of any job search. So, handling them well is key to building a fulfilling career. Regardless of whether you’re looking at a more junior role or strive for a role as a business executive, you need to maintain your professionalism every step of the way in order to stay in the game.
How to Write an Address Correctly: Explained with Examples
It's hard to imagine a scenario where a text or phone call just won't do these days. With communication at our fingertips, you may think learning how to write an address is a superfluous skill. But it's a skill that will come in handy when you need to fill out healthcare forms, ship a package, order food delivery, or even apply for new jobs.
What is Employment Participation Rate
According to economists, there are four factors of production that go into creating higher quality goods at lower prices. These are
How to Get Pay Stubs (From Previous Employee Also!)
Pay stubs are an important piece of document which shows your earnings in a given period, as well as any deductions made towards your health insurance or pension contributions. They’re also excellent for finding out how much your recent salary raise has bumped up your monthly net income.
How to Write a Job Description?
It might be tempting to overlook the importance of a well-written job description. After all, if you’ve posted job ads before and ended up with tons of resumes in hand, it’s easy to assume that this will always be the case, regardless of how your job ad reads. But, in reality, you really can’t take getting an influx of resumes for granted.