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BS/MS/PhD in Social Sciences from an accredited institution; 5+ years of experience in a consumer insights role including knowledge of qualitative & quantitative test design and methods used in product evaluation.
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A Bachelor of Science degree in Computer Science or Electrical Engineering, a Master’s Degree, or a PhD. on Linux (or are an expert C programmer with the ability and desire to quickly learn C. In addition, the position may include some of the following comprehensive benefits such Medical, Dental, Vision, Life, 401(K), Paid Time off (PTO), sick time, leave of absence as per the FMLA and other relevant leave laws, Company bonus/commission, employee stock purchase plan, and/or restricted stocks (RSU’s.
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Master’s degree or PhD in Computer Science, a related technical field, or or equivalent practical experience with experience in leading applied science and engineering teams. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML on GPU clusters with a focus on distributed training, checkpointing and fault-tolerance.
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This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures.
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Preferred : Graduate student, Master, PhD, or equivalent proficiency in mathematics or a related-field. Professional writing experience as a researcher, journalist, technical writer, editor, or similar roles.
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PhD with substantial industry-based development experience in drug development preferred or. The GTL is the GPT Leader, directly accountable for conceiving, designing and implementing product development strategy and delivery for their asset(s.
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MS/PhD in Electrical Engineering, Mechanical Engineering, Materials Science, or other relevant disciplines. MS/PhD in Electrical Engineering, Mechanical Engineering, Materials Science, or other relevant disciplines.
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The Department supports a PhD program in Geophysical Sciences while offering undergraduate degrees in both Geophysical Sciences and Environmental Science which allow students to discover, learn, and share knowledge about the natural processes that have and continue to shape our world and other planetary bodies.
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We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure.
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Experience working with public cloud infrastructure such as AWS, Azure or GCP. Develop SDKs and APIs for our user community to build agents, information retrieval and anomaly/fraud detection systems on our Gen AI platform.
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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 generative AI that few other organizations can. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Machine Learning EngineeringCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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Master’s/PhD degree in a quantitative discipline (e.g., Operations Research, Engineering, Computer Science, Applied Math, Statistics) Master's/ PhD required. 2+ years of experience developing and implementing large scale optimization models using MIP and heuristics.
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Bachelor's, Master's, or PhD in control systems, robotics, electronic engineering, or a related field. We are looking for a Principal Robotics Engineer - Bot Controls. Bachelor's, Master's, or PhD in control systems, robotics, electronic engineering, or a related field.
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Licensed Clinical Psychologists (PhD or PsyD) Needed in Florida. Licensed Clinical Psychologists (PhD or PsyD) Needed in Florida. Staffing mix - 1 ychiatrist and 2-6 MHP's depending on the site.
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Design and build run-time infrastructure for serving large ML models such as LLMs and FMs in our public cloud as well as secure third-party cloud providers. Authored research publications in top peer-reviewed conferences, or industry-recognized open-source contributions in the space of neural networks, distributed training and SysML.
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