- UpvoteDownvoteShare Job
- Suggest Revision
Conduct research and stay updated on the latest advancements in natural language processing (NLP), machine learning, and LLM technology. Currently enrolled as a full-time student in a PhD or Master's program in a quantitative discipline (e.g., biomedical engineering, computer science, statistics, computational biology, applied mathematics, or similar) with an anticipated graduation date on or before the end of 2025.
$61.06 an hourFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Our classes span the full spectrum of computer science and data science such as machine learning, systems, artificial intelligence, algorithms, databases, data analytics, computer vision, graphics, gaming, modeling, natural language processing, and many others.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Apply knowledge of Machine learning, Natural language processing and other programming techniques, to the collection, processing, compilation, computation, analysis, editing, and presentation of statistical data.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
The company has built proprietary technology using Natural Language Processing (NLP) and Machine Learning to analyse and generate voice and text-based communications in real time that are accurate, fast, scalable, and safe.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Investigates potential for integration of natural language processing (NLP) algorithms to enhance machine learning (ML) enabled data processing capabilities. Must be enrolled in an accredited undergraduate or graduate degree program with a full-time course load at time of application and in the spring semester prior to the summer program, with an expected graduation date of October 2025 or later.
$72,703 a yearInternExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Applies concepts, principles, practices, and techniques associated with computer science, data science, data architecture, and/or data engineering to elementary assignments involving recurring work.
$72,703 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
- Suggest Revision
AI/NLP/ML: Work with Artificial Intelligence (AI) methods, including Natural Language Processing (NLP) and Machine Learning (ML). You are considered a full-time student only instead of taking classes you work the Co-op.
RemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Minimum of 3 years of experience in machine learning or deep learning engineering or demonstrated proficiency in Natural Language Processing (NLP) or Natural Language Generation (NLG.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Lead the development of AI features, including natural language processing (NLP), LLM, RAG, Graph, speech-to-text, APIs and multi-agent architecture. As the CTO / Head of Engineering (AI & Full-Stack), you will be the company's first full-time engineering hire, taking on both hands-on development and leadership responsibilities as we scale.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
A minimum of 5 years of full time experience in software engineering in a Tier-1 company with expertise in AI and full stack development. Through our brand-new type software using machine and deep learning and a revolutionary organization of data in an intuitive and comprehensive interface.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Strong software engineering skills (API, programming languages versatility, full stack background: Python, Node.js, React) Design and implement AI-driven features, full-stack applications, and core systems, starting from the MVP.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
10 years full-time Software Engineering work experience, which includes 4+ years of software engineering experience in one or more of the following areas: advertising, recommendation systems, risk/fraud modeling, or natural language processing.
$336,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
7 years full-time Software Engineering work experience, which includes 4+ years of software engineering experience in one or more of the following areas: advertising, recommendation systems, risk/fraud modeling, or natural language processing.
$279,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.
$109,000 a yearFull-timeExpandApply NowActive JobUpdated Today
machine natural language processing full time data engineering jobs
FEATURED BLOG POSTS
Why is it so Hard to Get a Job After College
For many, it was easy finding a job while in college. But after job hunting for weeks, you may wonder why it is so hard to get a job after college. After all, you’ve put a lot of time and effort into getting your degree. But don’t get discouraged. The University of Washington found that 53% of graduates are either unemployed or working a job that doesn’t require a degree. Other studies also show that landing your first job can take between 3 and 6 months. So, getting your first job takes time.
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.
Recruiting in a Tight Market
As a recruiter or employer, you know how much the economy affects your recruitment and retention efforts. You aren't just in competition with companies in your industry, but you are also fighting against inflation, recession, unemployment rates, and so much more.
How to Build a Candidate Persona
A candidate persona is a semi-fictional representation of your ideal candidate. Building a candidate persona is one of the best methods employers use to ensure their sourcing, recruiting, and hiring processes are focused. Knowing exactly what you're looking for streamlines everything and helps increase hiring confidence. So here's how to create a candidate persona and how to use it.
How to Get Into The Trades: Step-by-Step Guide
Getting a trade job can be a great career move if you like variety and prefer to learn on the job instead of in an academic setting. A trade job can offer security and be a lucrative career path as the demand for skilled trade workers continues to grow.
How do Good Interviewers Prepare for Interviews?
Just like candidates take the time to research you and your company, you should take the time to prepare for the interview. Preparing for the interview doesn't just reflect well on your employer brand and create a better candidate experience. Preparation also helps prevent bad hiring decisions. Bad hiring decisions are usually a result of poor execution during the hiring process. However, going into an interview fully prepared and ready to evaluate candidates will help avoid bad hires. So, here are 6 interview preparation tips for employers.
Should I Hire for Potential Over Experience?
The workforce is shifting every day. In fact, research from the World Economic Forum (WEF) shows over half of employees around the world will need to upskill or reskill by 2025. The rapid rise of digital literacy, automation, and new technologies will quickly supersede businesses that don't train ahead of the curve. With the dire need to invest in training, it's evident that hiring someone with experience isn't that much different than hiring someone without it.