Staff Research Engineer, AI Engineering, Science
Staff Research Engineer, AI Engineering, Science
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$ 241000 - 331000
1 Vacancy
Job Description
The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg in 2015 to help solve some of societys toughest challenges from eradicating disease and improving education to addressing the needs of our local communities. Our mission is to build a more inclusive just and healthy future for everyone.
The Team
CZI supports the science and technology that will make it possible to help scientists cure prevent or manage all diseases by the end of this century. While this may seem like an audacious goal in the last 100 years biomedical science has made tremendous strides in understanding biological systems advancing human health and treating disease.
Achieving our mission will only be possible if scientists are able to better understand human biology. To that end we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact within systems paving the way for new discoveries that will change medicine in the decades that follow:
- Building an AI-based virtual cell model to predict and understand cellular behavior
- Developing state-of-the-art imaging systems to observe living cells in action
- Instrumenting tissues to better understand inflammation a key driver of many diseases
- Engineering and harnessing the immune system for early detection prevention and treatment of disease
The AI/ML team is funding and building one of the largest computing systems dedicated to nonprofit life sciences research in the world. This new effort will provide the scientific community with access to predictive models of healthy and diseased cells which will lead to groundbreaking new discoveries that could help researchers cure prevent or manage all diseases by the end of this century.
The Opportunity
As a Research Engineer on the AI Engineering team you will apply and optimize state-of-the-art models in artificial intelligence and machine learning to solve important problems in the biomedical sciences aligned with CZIs mission. You will work as part of a team responsible for developing and deploying AI models that use data developed by CZI and research partners all for the purpose of contributing to greater understanding of human cell function.
You will have the opportunity to work closely with teams of scientists computational biologists engineers within CZI and to collaborate with CZI grantees with CZ institutes and other external labs and organizations. Your work will inspire and enhance the production and analysis of datasets by CZ teams and collaborators. Scientific focus areas could include single cell biology imaging genomics and proteomics.
What Youll Do
- Working with the AI Research Scientists iterate on optimize deploy and maintain innovative machine learning models systems and software tools that enable the analysis and interpretation of AI models for Biology
- Work with cross-functional team members to quickly iterate on system performance to meet/stay ahead of users needs - e.g. we get feedback that the model doesnt scale to X million so working with our user researcher/scientist/product team to iterate on the solution.
- Partner with research scientists to build robust data loader pipelines for scalable distributed training and evaluation.
- Serve as an interface to product and engineering teams to understand how models may need to evolve to support multiple use cases.
- Develop model evaluation and interpretability frameworks that help biologists understand which data features drive model predictions
- Build reusable engineering utilities that can unlock experimentation velocity across research initiatives in the organization
- Optimize model architectures to enhance performance fine-tune accuracy and efficiently manage infrastructure resources
What Youll Bring
- Experience in working with a highly interactive and cross-functional collaborative environment with a diverse team of colleagues and partners solving complex problems through applied deep learning.
- A track record and expertise in developing deep learning models on large-scale GPU clusters using techniques of distributing training such as DDP FSDP Model parallelism low-precision training profiling and optimizing AI/ML code fine tuning models.
- Expertise in leading end-to-end experimentation pipelines for training and evaluating deep learning models with particular focus on experiment tracking and reproducibility.
- A good working knowledge of Python-based ML libraries and frameworks such as PyTorch JAX TensorFlow NumPy Pandas and Scikit-learn.
- Experience in using modern frameworks for distributed computing and infrastructure management particularly as related to ML models such as PyTorch Lightning Deepspeed TransformerEngine RayScale etc.
- Ability to effectively balance exploratory research with robust engineering practices.
- A good working knowledge of general software engineering practices in a production environment.
- The ability to work independently and as part of a team and have excellent communication and interpersonal skills.
- Have a Masters in computer science with a focus on machine learning & data analytics or equivalent industry experience and at least 6-8 years of experience developing and applying machine learning methods.
Compensation
The Redwood City CA base pay range for this role is $241000 - $331000. New hires are typically hired into the lower portion of the range enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience as evaluated throughout the interview process.
Work Mode
As we grow were excited to strengthen in-person connections and cultivate a collaborative team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month approximately 3 days a week with specific in-office days determined by the teams manager. The exact schedule will be at the hiring managers discretion and communicated during the interview process.
Benefits for the Whole You
Were thankful to have an incredible team behind our work. To honor their commitment we offer a wide range of benefits to support the people who make all we do possible.
- CZI provides a generous employer match on employee 401(k) contributions to support planning for the future.
- Annual benefit for employees that can be used most meaningfully for them and their families such as housing student loan repayment childcare commuter costs or other life needs.
- CZI Life of Service Gifts are awarded to employees to live the mission and support the causes closest to them.
- Paid time off to volunteer at an organization of your choice.
- Funding for select family-forming benefits.
- Relocation support for employees who need assistance moving to the Bay Area
- And more!
If youre interested in a role but your previous experience doesnt perfectly align with each qualification in the job description we still encourage you to apply as you may be the perfect fit for this or another role.
Explore ourwork modesbenefits andinterview processat
Required Experience:
Staff IC
Employment Type
Full-Time
