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Abbott is a global healthcare leader, creating breakthrough science to improve people's health. Abbott Molecular is a leader in molecular diagnostics and the analysis of DNA, RNA, and proteins at the molecular level.
$57,300 - $114,700 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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In Abbott’s Electrophysiology (EP) business, we’re advancing the treatment of heart disease through breakthrough medical technologies in atrial fibrillation, allowing people to restore their health and get on with their lives.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
$274,800 a yearRemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Director, Generative AI Platform - Agents and Tooling - People Leader (Remote Eligible) Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting, advanced RAG and fine-tuning.
$274,800 a yearRemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Locations: Sales - CA - San Francisco, United States of America, San Francisco, CaliforniaDirector, Generative AI Platform - Agents and Tooling - People Leader (Remote Eligible) This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI.
$274,800 a yearRemoteExpandUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. At least 1 year with LLM based conversational AI systems. Develop SDKs and APIs for our user community to power a wide range of applications such as information retrieval, fraud detection, AI Assistants, recommendations on our Gen AI platform.
$274,800 a yearRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Director, Machine Learning Engineering. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning Engineering.
$274,800 a yearRemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
$170Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Senior Manager, Generative AI Product Engineering - People Leader - (Remote Eligible) Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC.
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This is a people manager role that will lead teams to drive strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected people leader, you will guide and mentor a team of applied scientists.
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New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning EngineeringSan Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Director, Machine Learning EngineeringRemote (Regardless of Location): $232,900 - $265,800 for Director, Machine Learning Engineering.
$274,800 a yearRemoteExpandUpdated 5 days ago - UpvoteDownvoteShare Job
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You will partner with key stakeholders and colleagues in Clinical Pharmacology, Quantitative Systems Pharmacology, Statistics, Translational Modeling and Simulation, and other Research and Development lines to accelerate breakthrough cancer medicines that bring new hope to patients everywhere.
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Here, you are part of an organization on the cutting edge – helping to bring new technologies, breakthrough treatments and community education to countless men, women and children. As the first new stand-alone Orthopaedic Hospital, our Mission is to be acknowledged as the regional leader in patient-centered, innovative musculoskeletal care, providing cutting edge care to patients in Connecticut and surrounding states.
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As the leader in innovative business solutions, we are always pushing ourselves to understand what’s next: our next innovation, our next advancement in analytics, the market’s next media evolution, and your next breakthrough idea.
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This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader.
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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.
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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.
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