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Utilize Infrastructure as Code (IaC) tools, such as Terraform or AWS CloudFormation, to automate the provisioning and management of cloud resources for machine learning. Our Opportunity:Chewy is looking for a Machine Learning Engineer III to join our Merchandising Data Science Team. In this role, you will combine an understanding of machine learning, advanced data analysis, statistical testing, and software development.
$234,500 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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We are seeking a highly motivated machine learning engineer to join our Imaging AI team in the Informatics and Predictive Sciences (IPS) organization. Principal Machine Learning Engineer, Imaging AI.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies.
$265,200 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Experience in machine learning, supervised and unsupervised: NLP, Classification, Data/Text Mining, Multi-modal supervised and unsupervised models, Neural Networks, Deep Learning Algorithms.
$216,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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IonQ's computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. You'll enjoy learning technical topics, working across multiple business streams, and be uniquely positioned to help us reach the next horizon in secure quantum computing.
$200,321 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Design and implement sophisticated machine learning models for object detection, classification, semantic segmentation, and anomaly detection specific to autonomous driving scenarios. The ideal candidate is an expert in applying artificial intelligence and machine learning to the challenges of autonomous navigation.
$188,640 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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As a Machine Learning Engineer you will have the opportunity to identify and prioritize machine learning investments across our conversation AI & personalization ecosystem.
$210,100 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Experience with data storage and analytics systems (e.g. AWS RDS/DynamoDB, Elasticsearch, Databricks.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers.
$211,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Conversant in modern data engineering, analytics and machine-learning techniques and tooling. High Proficiency in Azure Infra Security and hands-on experience in Azure Data stack with one or more of - (Synapse, Azure Databricks( ADB), Azure Data Factory (ADF), Cosmos, Azure Data explorer, Fabric) and data visualization tools.
$282,200 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Nice to have:Experience in a sales support role, within Data Science, Machine Learning, or AI.Familiarity with leading data platforms like Databricks and Snowflake, and their basic services.
$203,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Harness the latest advancements in Data Science, Machine Learning and Artificial Intelligence (AI) to pioneer new approaches that significantly help our sustainability objectives and drive efficiency across our data center operations.
$238,600 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Quantum computing has the potential to impact every area of human society for the better. Experience or training in Quantum Computing. IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology.
$213,304 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Proficiency in programming languages such as Python and Julia, with substantial experience in developing large-scale models using machine learning packages (e.g., PyTorch, TensorFlow, Jax.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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We are constantly learning and taking opportunities to grow our careers and ourselves. We build shared GPU super cluster that enables customers to easily onboard run, monitor and managing AI models at scale with OCI. You will have the opportunity to work on the LLM accelerators, setup ML training and benchmarking platforms, runtimes, libraries in the open-source projects that enable low friction performance optimized large scale training and inferencing of the world's most advanced AI models.
$223,500 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago
machine learning mining jobs Company: Walmart in Bellevue, WA
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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.
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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.