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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn , Deploying and optimizing different pipelines that support various data science processes. We are looking for candidate who can work without any sponsorship #W2 Machine Learning Engineer with 7+ years of experience in designing, building, and maintaining machine learning models and pipelines.
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From amazon.com to world class machine learning pipelines, from cutting-edge digital healthcare to no-checkout retail, we push the boundaries of technology in every direction using the globe’s largest AWS deployment.
$212,800 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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Experience in Machine Learning and Deep Learning, including regression, classification, neural network, and Natural Language Processing (NLP), LLM.2. Experience in Text Analytics, developing different Statistical Machine Learning, Data Mining solutions to various business problems, and generating data visualizations using R, Python.
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Knowledge in at least four of: GitHub, DataBricks, FastAPI, Algorithms/Algorithm design, NLP, Machine Learning, Data Mining, Docker, Linux, Process Engineering, HuggingFace, Kubernetes, AzureDevOps.
$200,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with physical modeling, underwater acoustics, wave propagation, signal processing and/or sonar; detection, localization, tracking and classification algorithms and applications; applied mathematics, machine learning, uncertainty modeling and/or statistics; developing in a Linux environment; high-performance, GPU, or cloud-computing experience.
$120,000Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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The project combines machine learning, large-eddy simulation, and table-top experiments. The project’s objective is to demonstrate a novel approach that discovers stochastic sub-grid scale models for large-eddy simulation of meta-stable state transitions in a classical-fluid turbulent flow, using a newly proposed scientific multi-agent reinforcement learning framework.
$75,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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You will serve as an in-store expert by consulting with customers and providing live machine demonstrations to highlight all of the reasons why Nespresso brewing products are the best on the market.
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We promote student success and community development by providing affordable access, through traditional and distance learning modes, to higher education and workforce training, including appropriate applied baccalaureate degrees, in our service area.
$92,222 a monthFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Annual incentives for budget compliance Paid vacation 401(k) contributions Health and dental insurance (US) Annual Learning budget Travel Expenses Cell and WiFi allowance Team offsites Cultural Fit: Crusader, not Undertaker We are obsessed with our consumers and clients.
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Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives.
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Dr. Thomas Frist, Sr. HCA Healthcare Co-Founder If growth and continued learning is important to you, we encourage you to apply for our EP Lab PACU Registered Nurese opening. Dr. Thomas Frist, Sr. HCA Healthcare Co-Founder If growth and continued learning is important to you, we encourage you to apply for our EP Lab PACU Registered Nurese opening.
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This role requires strong technical expertise in computer vision, machine learning, and deep learning methodologies. Solid understanding of machine learning and deep learning concepts, including CNNs, RNNs, and reinforcement learning.
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PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: FPGA or ASIC-based RTL design and verification, FPGA deployment and programming, FPGA based acceleration of cloud applications, programmable data plane, machine learning training on GPUs and awareness of hardware/software co-design.
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machine learning jobs Company: Crowdstrike in Austin, TX
FEATURED BLOG POSTS
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.
Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.