Artificial Intelligence • eHealth • Machine Learning • Primary Care
51 - 200
💰 $27.5M Series B on 2020-12
March 15, 2023
🇺🇸 United States – Remote
💵 $150k - $200k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
Artificial Intelligence • eHealth • Machine Learning • Primary Care
51 - 200
💰 $27.5M Series B on 2020-12
• Develop and improve our AI systems used in our patient and physician-facing product features in collaboration with our product, clinical, engineering, and design teams. Includes fine-tuning large language models, developing model evaluations, and dealing with hard engineering constraints like latency and expensive model inference, • Design offline and online evaluations to test ML product features, and perform data-driven analysis of the results to find actionable insights. • Enable rapid and rigorous scientific innovation by a multidisciplinary team of Curai clinicians, engineers, and researchers, through platform, tools, and documentation. • Interview diverse talent to build and grow a strong ML team.
• 2+ years of industry experience in ML/NLP including building production systems. • “End-to-end” experience building ML production systems: Along with strong ML fundamentals, you will need exposure to the entire lifecycle of machine learning production systems, such as data processing, modeling, deployment, monitoring, maintenance, and improving the models over time using feedback loops. • "Product sense" or intuition on what to build: With guidance, you will need to be able to translate product intuition into data-driven hypotheses that result in impactful machine learning/engineering solutions. • Strong communication skills: This role involves collaboration with product, engineering, clinical, and research teams. Understanding the mental models of the audience and communicating ideas crisply to this diverse set of stakeholders will be a vital part of the role. • You should be comfortable leading cross-functional machine learning product initiatives, from conception to successful product outcomes.
• Culture: Mission-driven talent with great colleagues committed to living our values, collaborating, and driving performance • Pay: Competitive compensation and stock • Wellness: Unlimited PTO, flexible working hours and remote working options • Benefits: Excellent medical, dental, vision, flex spending plans, and paid parental leave • Financial: 401k plan with employer matching
Apply NowDecember 22, 2022
11 - 50
December 22, 2022
11 - 50
December 22, 2022
11 - 50
🇺🇸 United States – Remote
💰 $5M Funding Round on 2021-08
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
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