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INFRASTRUCTURE ENGINEER @ TAMARIND BIO

~15,000 Mentioned USA, San Francisco 3 hours ago tamarind.bio 29 Views

Tamarind Bio is looking for an Infrastructure Engineer to join their fast-growing, founder-led team in San Francisco. This role is central to scaling the infrastructure of an AI-powered drug discovery platform that is revolutionizing the design of life-saving medicines. You will be responsible for building and maintaining core infrastructure using cutting-edge cloud technologies, ensuring the platform can support the company's rapid growth and impressive $1.5M ARR. This is an impactful opportunity to own the infrastructure scaling for a mission-driven startup.

The ideal candidate will have over three years of backend experience, although highly talented new graduates are also welcome to apply. You should have a strong understanding of cloud infrastructure principles, preferably with AWS, and experience with containerization and orchestration using Docker and Kubernetes. The position is based onsite at the San Francisco headquarters located at 2325 3rd Street for approximately five days a week. The role is a full-time position with a salary range of $180,000 to $250,000 per year, and an immediate start is preferred.

Key Requirements

Strong understanding of cloud infrastructure principles (AWS preferred). Experience with containerization and orchestration (Docker, Kubernetes). At least 3 years of backend software engineering experience. Proficiency in Python programming for infrastructure and backend tasks. Ability to build and maintain core infrastructure using cutting-edge technologies. Willingness to work onsite in San Francisco 5 days per week. Experience with machine learning infrastructure or bioinformatics is a plus. Strong knowledge of infrastructure-as-code tools such as Terraform or CloudFormation. Familiarity with scaling AI-powered drug discovery platforms or similar scale-up systems. Ability to work effectively in a fast-paced, founder-led startup environment. Solid understanding of CI/CD pipelines and DevOps best practices. Strong analytical and problem-solving skills for complex architectural challenges.
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JUNIOR ML ENGINEER @ SAIKRISHNA P

0 Negotiable or Not Mentioned USA, San Francisco 23 hours ago gmail.com 73 Views

Our engineering team is rapidly expanding and we are currently seeking a motivated Junior ML Engineer to join our innovative office in San Francisco. In this role, you will be expected to dive deep into the world of neural networks and apply cutting-edge data science techniques to solve complex problems. You will work closely with senior engineers to build and scale machine learning models that drive our core product offerings, ensuring that all solutions are robust and production-ready.

The ideal candidate should be proficient in Python and have a strong grasp of popular frameworks such as TensorFlow and PyTorch. Your primary focus will involve rigorous model development and validation to ensure accuracy and efficiency across various datasets. This is a fantastic opportunity for an early-career professional to innovate within a fast-paced environment and contribute to meaningful projects in the field of artificial intelligence and deep learning.

Key Requirements

Proficiency in Python programming language Hands-on experience with TensorFlow framework Hands-on experience with PyTorch framework Strong focus on machine learning model development Experience in model validation and performance tuning Deep understanding of neural networks and their architectures Solid foundation in data science and statistical analysis Ability to work effectively within a collaborative engineering team Strong problem-solving skills and analytical thinking Degree in Computer Science, Data Science, or a related technical field
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