What are the responsibilities and job description for the ML Engineer position at Tap Growth ai?
🌟 We're Hiring: ML Engineer! 🌟
We are seeking to hire a Machine Learning Engineer in South San Francisco, CA.
📍 Location: South San Francisco, CA
⏰ Work Mode: Work From Office
💼 Role: Machine Learning Engineer
Pay Scale: $75, 691 – $168, 653 (Dependent on Experience)
What You'll Do
∙ You will join Prescient Design within the Computational Sciences organization in gRED.
∙ Your peers will be machine learning scientists, engineers, computational chemists, and
computational biologists.
∙ You will closely collaborate with scientists within Prescient and across gRED.
∙ You will develop machine learning and Bayesian optimization workflows to analyze existing,
and design new, small and large molecules.
∙ You will be expected to form close working relationships with small molecule and protein
therapeutic development efforts across the gRED organization.
What We're Looking For
∙ PhD degree in a quantitative field (e.g., Computer Science, Chemistry, Chemical
Engineering, Computational Biology, Physics), or MS degree and 3 years of industry experience.
∙ Demonstrated experience with machine learning libraries in production-ready workflows
(e.g., PyTorch Lightning Weights and Biases)
∙ Record of achievement, including at least one high-impact first author publication or equivalent.
∙ Excellent written, visual, and oral communication and collaboration skills.
∙ Experience with physical modeling methods (e.g., molecular dynamics) and cheminformatics
toolkits (e.g., rdkit)
Ready to make an impact? 🚀 Apply now and let's innovate together!
We are seeking to hire a Machine Learning Engineer in South San Francisco, CA.
📍 Location: South San Francisco, CA
⏰ Work Mode: Work From Office
💼 Role: Machine Learning Engineer
Pay Scale: $75, 691 – $168, 653 (Dependent on Experience)
What You'll Do
∙ You will join Prescient Design within the Computational Sciences organization in gRED.
∙ Your peers will be machine learning scientists, engineers, computational chemists, and
computational biologists.
∙ You will closely collaborate with scientists within Prescient and across gRED.
∙ You will develop machine learning and Bayesian optimization workflows to analyze existing,
and design new, small and large molecules.
∙ You will be expected to form close working relationships with small molecule and protein
therapeutic development efforts across the gRED organization.
What We're Looking For
∙ PhD degree in a quantitative field (e.g., Computer Science, Chemistry, Chemical
Engineering, Computational Biology, Physics), or MS degree and 3 years of industry experience.
∙ Demonstrated experience with machine learning libraries in production-ready workflows
(e.g., PyTorch Lightning Weights and Biases)
∙ Record of achievement, including at least one high-impact first author publication or equivalent.
∙ Excellent written, visual, and oral communication and collaboration skills.
∙ Experience with physical modeling methods (e.g., molecular dynamics) and cheminformatics
toolkits (e.g., rdkit)
Ready to make an impact? 🚀 Apply now and let's innovate together!
Salary : $75
