Senior AI/ML Engineer – Life Science

Job not on LinkedIn

🕒 July 31

🏄 California – Remote

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💵 $99.3k - $198.7k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 4%

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Logo of Abbott

Abbott

10,000+ employees

Founded 1888

🏥 Healthcare

⚕️ Healthcare Insurance

🧬 Biotechnology

Healthcare • Healthcare Insurance • Biotechnology

Abbott is a global healthcare company committed to advancing medical technologies and improving lives around the world. It offers a broad range of leading products in diagnostics, medical devices, nutrition, and branded generic medicines. Abbott's innovations such as the FreeStyle Libre glucose monitoring systems and BinaxNOW rapid antigen tests are transforming diabetes management and COVID-19 response. Through its partnerships and initiatives, Abbott aims to foster health equity, improve access to healthcare, and address critical health challenges like malnutrition and infectious diseases. Abbott is also dedicated to sustainability and social responsibility, striving to make life-changing technologies accessible and affordable.

📋 Description

• Lead development of perspectives on technology affordance • Collaborate with stakeholders to refine and formalize requirements for ML-based solutions • Work with other engineers to implement and deploy ML and AI solutions • Set up Agile framework for iterative solutions • Provide leadership in AI strategy development • Mentor and coach junior team members

🎯 Requirements

• Ph.D in Statistics, Computational Biology, Computer Science, or related quantitative field or Master’s Degree in a related field plus 4 years of relevant experience • 5+ years of experience in statistics, computational biology, applied mathematics, or related quantitative field • 5+ years of experience with artificial intelligence and machine learning algorithms • Demonstrated experience with advanced AI concepts • Strong programming ability with demonstrated experience in Python and associated machine learning frameworks

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities

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