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We work as a team: We are a collaborative company comprised of highly-educated industry leaders in radar systems, image and signal processing, machine learning, hardware development, and software engineering.
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Develop, implement, and optimize cutting-edge machine learning algorithms related to image processing, signal processing, RADAR, and Synthetic Aperture Radar (SAR). Minimum 5 years of experience in a similar role, with a focus on machine learning, image processing, signal processing, RADAR, and Synthetic Aperture Radar (SAR.
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Experience in machine learning, deep learning/LLM, information retrieval, natural language processing. The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing.
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The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve scale.ai’s products and customer experience.
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This role requires a deep understanding of machine learning, natural language processing (NLP), and big data technologies. Amazon Comprehend : Experience with Amazon Comprehend for natural language processing tasks.
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Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
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Code, working with hardware and software, ability to grasp high order concepts in physics, microscopy, hardware design, automation, and robotics, experience with computer vision and machine learning, experience with image processing, experience working with an agile team, experience in SQL.
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As a research scientist at Adobe, you will be joining a dynamic team of machine learning, deep learning, natural language processing, and computer systems researchers to build the future of digital experiences.
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Background in Artificial Intelligence (AI), Machine Learning (ML) Natural Language Processing (NLP) Sitting at the intersection of quantitative and investment analysis, the professional will be a "hands-on" player/coach building a team of Data Scientists focused on the implementation of Data Science technologies, techniques and methodologies leveraging Artificial Intelligence (AI) and Machine Learning, advanced analytics, and statistical methods.
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O Leader, coach, and mentor to R&D functions including assay development, software (development and test/QA), image analysis/machine learning, project management, systems engineering, systems integration, manufacturing and laboratory operations, and to develop the company’s focus on other forms of cancer.
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Entergy's Power Generation group operates a fleet of more than 30 owned, leased, or operated natural gas, coal, oil hydro, and solar plants, with a total engineering capacity exceeding 20,000 megawatts.
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EVident Battery is hiring a Machine Learning Engineer to join a collaborative team of experts in various fields, including engineering, machine learning, and EV battery reliability.
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Possess a solid understanding of AI technologies, including machine learning, natural language processing (NLP), and computer vision, to facilitate the development and integration of advanced internal tools that enhance analytical capabilities and operational efficiency.
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Collaborate closely with other engineering guilds to integrate machine learning components into larger software systems and develop end-to-end solutions. At least 2 years of experience in machine learning engineering or related roles.
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Further contextualization of results with historic data from digital and hard-copy resources will be required to determine trends and guide further investigation; utilization of machine learning models as well as standard trend fitting will be used to assess alloy and processing improvements.
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machine learning natural language processing software engineering jobs Company: Autodesk
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Virtual Reality Job Interviews
With the advent of desktop computers, the arduous task of scouring through weekly job classifieds became a thing of the past. The mid-1990s brought about a new era where job seekers could easily search and apply for jobs online. The introduction of AOL's Instant Messaging feature provided an even faster means for employers and candidates to communicate and schedule interviews. As smartphones became more pervasive in the early 2000s, hiring managers increasingly used phone calls for screening and interviewing candidates. Despite this trend, over 80% of interviews still took place in person.
A Potential TikTok Ban?!
As you may already know, there has been a lot of talk lately about the possibility of a TikTok ban. While this has not yet come to fruition, it's important to consider the implications this could have for businesses and recruiters who rely on TikTok as a platform to market their brand, recruit new talent, and connect with their audience.
The Effects of Workplace Racism and Sexism
One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
When Rage Applying Strikes: How to Identify Unserious Candidates
As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
How to Increase Job Ad Exposure
In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
How to Navigate Hiring Out of State
The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).
Building a Candidate Pipeline Through Internships
Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.