- UpvoteDownvoteShare Job
- Suggest Revision
To achieve this, we work closely with various machine learning (ML) applied science teams dedicated to improving the quality of semantic matching, ranking, computer vision, image processing, and augmented reality.
$52,900 - $127,300 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The Machine Learning Engineer in the Search Data Science team will play a pivotal role in supporting the architecture and development of AI initiatives within the Sam's Club division of Walmart Inc. This position is key to crafting the ML/AI models that will enhance member experiences across eCommerce, Scan & Go, and in-club shopping.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Responsible for the design and development of custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
To apply strong expertise in artificial intelligence through the use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Arconic is currently in search of a Data Systems Engineer to join our Kawneer Team in Springdale, AR. At least 1 year experience in one or more of the following: Matlab, Statistics and Machine Learning, Neural Networks, R, Capstone DataPARC, modeFrontier, Azure, Power BI, Crystal Reports, SQL, SQL Report building Software.
Full-timeExpandUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Proficient in using Jupyter Notebooks for all sorts of data science tasks such as exploratory data analysis (EDA), data cleaning and transformation, data visualization, statistical modeling, machine learning, and deep learning.
$96,800 - $251,600 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Net, Python; Data Technologies: Oracle, Cassandra, Elastic Search, Aurora, NiFi, Cribl.io LogStream, Splunk, Hadoop, Tensorflow, Jupyter. Domain expertise: programming languages, data analytics, machine learning (ML/AI), DevSecOps, Cloud, Big Data.
$110,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
- Suggest Revision
You will work with PostEra’s team of engineers, machine learning researchers, and chemists to offer responsive, reliable, and secure data access and search solutions, iterating on existing solutions and innovating on novel improvements.
ExpandUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Use data science methods, including but not limited to Artificial Intelligence/Machine Learning (AI/ML) approaches, to perform data processing (e.g. filtering), feature recognition, alarm threshold determination, pattern matching, statistical trending, scoring of detection quality, and integration of other information into decision making.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The search is for candidates at the interface of data science/machine learning and industrial engineering, operations research, and management science, including optimization, statistical learning, computational social science, healthcare, logistics, and operations.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Showcase your contemporary expertise in Machine Learning, NLP, Reinforcement Learning, and Deep Learning by applying it to the enhancement of algorithms driving Search, Browse, Autocomplete, and Recommendations experiences on Fanatics.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The team owns success metrics used for Prime Video search, and machine learning models that increase our understanding of customers’ streaming interests. The customer and search intelligence team is a team of data scientists within Prime Video’s discovery organization.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
To make this vast amount of information more accessible, we have built a variety of tools including a search engine, a machine-learning-driven search intent classifier, an LLM-driven question -answering system and an ontology/ taxonomy all supported by reference data about companies, industries, and our analysts.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
- Suggest Revision
We are looking for a Senior Data Scientist to build and deploy Natural Language processing (NLP) models utilizing a variety of Machine learning and deep learning techniques. Come join First American's Digital Title Group, newly formed to re-imagine and digitize the title search and examination process through Big Data, AI, document automation and modern, cloud-native application development.
$143,000 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago
search data learning jobs
FEATURED BLOG POSTS
Tips for a Good Character Reference Letter with Examples
Hiring managers love a resume laden with relevant skills and qualifications. Hard skills specific to the role, like SEO strategy or Java programming languages, are easy to qualify using achievements or facts and figures. But how exactly can they verify personality traits, work ethic, relationship management skills, or curious nature during an interview when they barely know you?
How to Dress on the First Day of Work (Men & Women)
You did it! Out of hundreds of applicants and dozens of people interviewed, you’re the one who got a new job. Congrats! Now comes the question of how to dress on the first day of work.
Why College Students Should Work While in College?
College is a special part of our lives. It’s a time when we prepare for our dream job while creating some of the most memorable moments in life. That said, college life can also be stressful. Not only do we have to spend long hours studying, writing and researching, but we also have to deal with increased tuition fees and living expenses.
5 Ways to Measure Candidate Experience
Your candidate experience is made up of 4 essential parts
How to Stall a Job Offer Politely
You did it! After several weeks of looking for a new job and undergoing grueling interviews, you finally have a job offer. Although this may be very exciting, accepting a job offer means that you’re making a long-term commitment to your future employer. So, even if you’re eager to leave your current job, this isn’t a decision you should take lightly.
How to Get a Job in a New City - Best Tips to Follow
When your dream job posts, will you be ready? What if that dream job was in a faraway city or a different continent…would you move for it? Most of us have dreamed about what it would be like to accept a job in a new place at one time or another. But when it comes to actually making a move, it’s usually the logistical details that give us pause. The key to job searching in a different location is to have a plan.
What is a Policy of Non-Retaliation & How to Create One
Your company probably has many policies in place – anti-discrimination policies, equal opportunity policies, ethics policies, and so on. However, it is important to re-evaluate whether you have a policy that covers every situation. Say for instance one of your employees submit a complaint in good faith to their supervisor. To their surprise, they are met with retaliation, such as demotion, defamation, or even termination.