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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with scripting in PowerShell and BASH command line interfaces or in Python or Perl scripting languages.
$65,300 - $149,000 a yearFull-timeExpandApply NowActive JobUpdated 6 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. Requirements 4+ years of software engineering experience Strong Python skills Strong data operations mindset and opinions on next-generation warehouse tools Strong written and verbal communication skills Experience with building production grade applications using Python Experience with data warehouse platforms (e.g. Amazon Redshift, Google BigQuery, Snowflake.
$164,000 - $234,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The Data Enablement division is responsible for Data Platform, Data Products, and Data Governance for all of SoFi. As the technical leader for the Data Products group, you will lead the vision and strategy to build foundational and critical data products, such as members' 360, members' time series etc., which are highly leveraged across SoFi for analytical, reporting, and machine learning use-cases.
$77 - $118Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Support data scientists by provisioning and managing infrastructure like GPU VMs for machine learning and Azure Databricks. Engineer and deploy end-to-end big data solutions on Azure using technologies like Spark, Logic Apps, Function Apps, Databricks, and Azure Kubernetes Containers.
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This position will work with a team of excellent research scientist and machine learning engineer who can take initiatives, design and develop advanced machine learning solutions, and deploy them directly to TikTok's global platform.
$194,000 - $355,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with modern Machine Learning, Natural Language Processing and Text-mining technologies. You will be a Collaborator - being an effective partner to product managers; you will work with product managers in driving new user experiences through Machine Learning and Natural Language Processing and build experiments that drive key product decisions and provide invaluable insights.
$210,000 - $310,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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3-5 years of experience in a few areas: cloud computing, software engineering, distributed computing, machine learning, natural language processing, computer vision, image processing, database systems, security, data platforms.
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Role: Develop Python platform for large scale generation of autonomous driving scenarios for simulation. More Info: Software Engineer - Simulation - Scenario Editor. More Info: Software Engineer - Simulation Traffic Modeling & Behavior.
$150 - $200Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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As an SDS Machine Learning Engineer, you will employ predictive modeling and statistical analysis techniques to build end-to end solutions for improving security, fraud prevention, and operational efficiency across the company, from manufacturing to fulfillment to apps and services.
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Working knowledge of Azure Stream Architectures, DBT, Schema Change tools, Data Dictionary tools, Azure Machine Learning Environment, GIS Data. Agile Project Work: Work in cross-functional, geographically distributed agile teams of highly skilled data engineers, software/machine learning engineers, data scientists, DevOps engineers, designers, product managers, technical delivery teams, and others to continuously innovate analytic solutions.
Full-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The AI Group is the central engineering group responsible for driving Machine Learning (ML) adoption at Bloomberg, with over 200 researchers and engineers working together to provide clients with the best-in-class news, research, market data, and analytics using innovative machine learning technology.
$160,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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The Director – Data Engineer position will develop new APIs and web-based products to consume and execute machine learning models. Research latest machine learning technologies and keep up with industry best practices in Data Science.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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We're looking to hire a Mid-Level AI Machine Learning Engineer to join our team. 3+ years of professional experience as a Machine Learning Engineer with strong knowledge of AI.
RemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Up-level risk machine learning excellence on privacy/compliance, interoperability, risk perception and analysis. - Master degrees in Computer science, Mathematics, Machine Learning, or other relevant STEM majors (e.g. finance if applying for financial fraud roles.
$129,960 - $246,240 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago
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Whether you’re applying for your first job or looking to move up the career ladder, personality tests aren’t usually the first thing we think about. But surprisingly, they can have a massive impact on how our future employers perceive us. In fact, a 2017 study by the Society for Human Resource Management (SHRM) has found that 32% of U.S. employers use personality tests when hiring for senior management positions, and 28% use them for middle management positions. Personality tests are also used for hourly workers and contractors, though less frequently.
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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.