Senior Staff Engineer, Machine Learning (24215-U-670-CBIO) - ArsenalBio
View Company Profile- Job Title
- Senior Staff Engineer, Machine Learning (24215-U-670-CBIO)
- Job Location
- South San Francisco
- Job Description
- WHO WE AREArsenal Biosciences Inc. is a clinical-stage programmable cell therapy company engineering advanced CAR T-cell therapies for solid tumors. We are seeking a talented Senior Staff Machine Learning Engineer, Computational Biology and Machine Learning to work hybrid based in our South San Francisco office.ArsenalBio’s mission and purpose is very clear: defeat cancer. With our programmable and computationally driven approach, our team is engineering medicines with the goal to attack cancer’s inherent multifaceted nature and overcome the challenges of addressing solid tumors with cell therapy.Driven by a collective of diverse experts across multi-scientific disciplines as well as clinical and manufacturing expertise, we are united in our purpose to develop the optimal medicines for improving patients’ lives.Our people are our greatest asset, they bring scientific talents in molecular biology, immunology, pharmacology, protein chemistry, computational biology, machine learning and AI, automation, genome engineering, software and other fields to make the future happen now.This means you’ll have the opportunity to work with the best talent in the field of cell therapy, and be part of ONE TEAM advancing therapies for patients who need it most.ArsenalBio is looking for a founding Senior Staff Machine Learning Engineer to lead the charge in creating our AI platform! As our very first ML engineering hire, you’ll have the unique opportunity to build our ML infrastructure from scratch, shape our technical strategy, and assemble a top-tier engineering team that powers AI-driven drug discovery. This is more than a job—it’s a chance to apply groundbreaking AI methods to revolutionize medicine, making a direct, meaningful impact on patients' lives. If you're excited to push the boundaries of AI in healthcare, we want to hear from you!WHAT YOU’LL DO
- Design and implement the foundational ML architecture to power our next generation of cell therapy discovery platforms. Profile machine learning workflows, identify bottlenecks, and implement solutions to increase efficiency and hardware utilization.
- Define technical standards and establish MLOps practices for the organization, including experiment tracking, model versioning, and automated deployment pipelines
- Implement MLOps solutions and integrations of our ML platforms with other software systems.
- Collaborate with product, design, front-end, machine learning, and infrastructure teams.
- Train and mentor fellow ML engineers.
WHO YOU ARE- Masters with 5+ years of relevant experience; or Bachelors with 7+ years of relevant experience
- Proven track record of architecting production ML systems from scratch, with experience making strategic technical decisions that impact organization-wide ML capabilities
- Experience implementing, extending, and debugging state-of-the-art machine learning models, and have expertise in designing and building robust data infrastructure and tools
- Experience in applying deep learning to model biological data
- Strong software engineering skills and substantial expertise in Python
- Ability to work collaboratively and communicate effectively in an interdisciplinary environment
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ArsenalBio Company Size
Between 100 - 500 employees
ArsenalBio Founded Year
2019
ArsenalBio Total Amount Raised
$630,806,656
ArsenalBio Funding Rounds
View funding detailsSeries C
$325,000,000 USD
Series B
$220,806,682 USD
Series A
$85,000,000 USD