Tempus AI · 1 day ago
Senior ML Generative AI Scientist
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Artificial Intelligence (AI)Biotechnology
H1B Sponsor Likely
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Responsibilities
Responsible for developing innovative and practical Generative AI applications for Tempus product line using Tempus’ large multi-modal datasets spanning Clinical data, Imaging data, and Molecular data.
Collaborate cross-functionally with other teams to understand needs and requirements, ensuring the Foundation Model/LLMs align with strategic company objectives of embedding AI into our product portfolio.
Explore and evaluate new technologies and methodologies to enhance the technical capabilities of our team, ensuring that we remain at the cutting edge of ML innovation.
Conduct research and exploration of generative AI techniques, with a specific emphasis on healthcare applications.
Contribute to thought leadership and continue to develop up-to-date knowledge of Generative AI trends and apply this expertise.
Establish and drive research opportunities and collaboration with partner organizations.
Design and implement generative AI models tailored for healthcare scenarios.
Develop appropriate evaluation metrics that align with healthcare outcomes and clinical requirements, and optimize models to achieve established performance criteria.
Stay actively involved in the healthcare and AI research communities.
Attend relevant conferences, workshops, and seminars.
Publish research findings in reputable scientific venues.
Collaborate with academic and industry partners to advance the state-of-the-art in generative AI for healthcare.
Qualification
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Required
PostDoc or Ph.D. in Computer Science, Artificial Intelligence, Computational Biology, or a related field. A strong academic background with a focus on generative AI and healthcare applications is highly preferred.
5+ years of industry experience or equivalent.
Prior experience in pre-training and fine-tuning of large language models
Strong collaboration and communication abilities.
Strong track record in publications, patents, and/or launched products in this space
Solid knowledge of machine learning concepts, including deep learning, optimization algorithms, regularization techniques, transformer architecture. Extensive experience in developing and implementing generative AI models, such as GANs, VAEs, and related architectures.
Experience in applying Large Language Models to practical industry challenges, including strong intuition on where to apply generative AI models versus more traditional models
Proficiency in programming languages commonly used in AI research, such as Python and TensorFlow/PyTorch. Experience with healthcare-specific frameworks (e.g., DICOM, FHIR) is a plus.
Preferred
Experience in temporal modeling, and multi-modal time series data
Experience in a late-stage startup environment
Experience building and bringing to practical use, knowledge graphs and graph-based machine learning models
Expertise with embeddings, multimodal fusion
Experience working with sensitive healthcare data, medical imaging modalities, clinical workflows, and healthcare terminology. Familiarity with electronic health records (EHRs), and medical imaging formats (e.g., DICOM), molecular data is advantageous.
Benefits
Incentive compensation
Restricted stock units
Medical and other benefits
Company
Tempus AI
Tempus is making precision medicine a reality by applying AI in healthcare, deriving insights from our expansive library of clinical data and molecular data.
H1B Sponsorship
Tempus AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (52)
2022 (73)
2021 (75)
2020 (32)
Funding
Current Stage
Public CompanyTotal Funding
$1.34BKey Investors
GoogleBaillie GiffordT. Rowe Price
2024-06-14IPO
2022-10-20Series Unknown· $100M
2022-10-20Debt Financing· $175M
Recent News
2024-10-24
MarketScreener
2024-06-05
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