- UpvoteDownvoteShare Job
- Suggest Revision
Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Proven track record managing and scaling machine learning teams in one or more of the following areas: computational advertising, recommendation systems, risk/fraud modeling, autonomous vehicles, search, natural language processing, or a related field.
$216,000 - $378,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Apply cutting-edge machine learning algorithms, including but not limited to deep learning, ensemble methods, and natural language processing, to analyze large-scale datasets related to customer behavior, product attributes, and digital commerce performance.
$196,800 - $260,800 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Understanding of modern machine learning techniques, such as classification, clustering, optimization, deep neural network, and natural language processing. You’ll be a data scientist on the Machine Learning Credit team, where you will work on supporting customers/clients to make the best use of the Plaid Credit product suite to manage credit risk in their portfolios.
$154,000 - $232,200 a yearFull-timeExpandUpdated 6+ months ago - UpvoteDownvoteShare Job
- Suggest Revision
2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
8+ years of experience in machine learning model development, natural language processing, and data analysis; Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment.
$167,325 - $278,875 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Requirements:Knowledge, Skills, and Abilities:In-depth knowledge and proven track record in AI/ML technology, including deep learning, time series modeling, natural language processing, and unsupervised learning.
$203,200 - $279,400 a yearFull-timeRemoteExpandUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Algorithm Development: Develop and implement advanced machine learning and deep learning algorithms to solve complex problems in areas such as natural language processing, computer vision, and predictive analytics.
$170,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Understanding of data science/machine learning models and algorithms, not limited to: deep learning (CNN, RNN etc), decision trees (e.g. xgboost, random forest), unsupervised techniques (e.g. clustering, anomaly detection), natural language processing and statistical methods.
ExpandUpdated 6+ months ago - UpvoteDownvoteShare Job
- Suggest Revision
4+ 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 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with Artificial Intelligence (e.g., Machine Learning, Natural Language Processing). Lead the AI Skills Ecosystem Team to design, build, evaluate, deploy and iterate on prototype machine learning models/systems, striving for highest quality in code, algorithm, and solution.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Knowledge of machine learning techniques and natural language processing (NLP) Proficient in data engineering (SQL architecture, ETL, data integration best practices.
$140,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today
FEATURED BLOG POSTS
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.
Why Leadership Is So Important in Your Career
There are plenty of baseball players worldwide, but only a select few will master the sport enough to play in the World Series. Similarly, you’ll meet hundreds of “managers” throughout your professional career. Still, only a few will cement themselves as true leaders in your mind. This is why leadership is important—the most influential leaders leave a mark. They inspire.