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As a Senior Data Scientist for our team, you'll leverage your expertise in machine learning, deep learning and reinforcement learning to create large-scale, personalized recommendation models for our omni-channel retail platform, with a focus on exploring and implementing cutting-edge technologies like Large Language Models (LLM's.
$234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipelines based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle issues or provide recommendations for the next step in problem-solving.
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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. Has experience managing on-shore and off-shore teams and knows how to optimize operating models to ensure data entry, data operations, and data thought leadership is being performed by the right talent base with scale and speed.
$299,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence. Ensure the delivery of high-quality, scalable, and efficient machine learning solutions.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning models to drive member value and customer success. Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights.
$178,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Prototypes and do proof of concepts (PoC) in one or all the following areas: · LLM, NLP, DL (Deep Learning), Client (Machine Learning), object detection/classification, tracking, etc.
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Come join us as we build a best-in-class global multi-disciplinary team across artificial intelligence, machine learning, design, advanced software and hardware engineering, strategy, venture investments, sales, marketing, and partnerships.
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PhD. Degree or equivalent experience with focus on applied machine learning. Own communication and thought leadership around data quality with key customers and collaborators. Lead a global workforce of over a thousand annotators including a data science team, and a quality assurance team.
$345,000 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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While not necessarily requiring advanced knowledge in machine learning, this role is crucial in helping us analyze data effectively, connect the dots, and provide valuable insights to drive our advertising technology forward.
$215,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will build machine learning models and develop big data and distributed systems that use the models to analyze and categorize an enormous amount of URLs. You will be a key person in transforming ideas into products which are part of the next generation security platform.
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Responsibilities: Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
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AIML - Chief of Staff, Data and Machine Learning Innovation Apple is where individual imaginations gather together, committing to the values that lead to great work. The Data and Machine Learning Innovation (DMLI) team is looking for a passionate program manager to bring efficiency, process, and standardization to the organization.
$234,700 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We leverage off the sciences of data, information processing, machine learning, and generative AI to improve user experience, automation, service resilience, and operational efficiency.
$143,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Experience with data sets, Hadoop, and data visualization tools.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Rubrik Security Cloud, powered by machine learning, secures data across enterprise, cloud, and SaaS applications. With Zero Trust Data Security™, we help organizations achieve business resilience against cyberattacks, malicious insiders, and operational disruptions.
$204,400Full-timeExpandApply NowActive JobUpdated Today
machine learning jobs Title: data in Mountain View, CA
FEATURED BLOG POSTS
5 Common Interview Mistakes
Everyone's interview process is unique in some form or fashion. Like most, your interview process is crafted so you can get the most information out of your candidates to increase hiring confidence and make the right hiring decisions. However, there are often small problems in interview processes that could ultimately affect the success of hiring decisions.
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It might be tempting to overlook the importance of a well-written job description. After all, if you’ve posted job ads before and ended up with tons of resumes in hand, it’s easy to assume that this will always be the case, regardless of how your job ad reads. But, in reality, you really can’t take getting an influx of resumes for granted.
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When tax time rolls around, the last thing you want to worry about is having to track down a W-2 from your former employer. Many times you won’t have to because the IRS requires companies to send these forms to all current and former employees who have earned more than $600 in the last year. Unfortunately, there are employers who don’t do what they’re supposed to. There are even times where something else may happen that prevents the W-2 from getting where it’s supposed to go.
How to Ask Someone to be a Reference + Email Templates
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The goal of an interview is to evaluate candidates based on their skills, personality, and knowledge. You want to choose the BEST candidate from your candidate pool, so the interview is something you can't mess up. As you begin planning your interview process, one of the major decisions you'll face is whether the interview should be a structured vs unstructured interview. So let's take a dive into the differences and sort out which circumstances warrant which interview process.
How to Describe Your Personality with Examples
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