Senior Machine Learning Engineer
Nosis Bio
Software Engineering
Alameda, CA, USA
Posted on Mar 2, 2026
Nosis Bio is an AI biotech on a mission to end chronic disease. Recent breakthroughs in programmable RNA therapeutics such as siRNAs and ASOs have opened the door to more effective treatments of many diseases, but delivering these therapies to tissues other than the liver has remained an elusive “holy grail” challenge. Nosis has solved this problem via physics-aware deep learning that includes novel neural net architectures, diffusion-based generative algorithms for molecular designs, and high-throughput biochemical assays for confirmatory real-world testing. Together with a best-in-class team of biologists and chemists, we have proven our medicines can be delivered anywhere in the body and can halt, and even revert, the progression of disease. We are deploying this highly differentiated technology across our multiple partnerships with the largest pharma companies in the world, and we have a pipeline of drugs showing best-in-class results against multiple terrible diseases.
We are looking for a world-class machine learning scientist to join us on the mission to make these computationally designed therapeutics the standard-of-care for all chronic diseases.
About the roleNosis Bio’s deep learning platform is critical to the success of its mission to solve drug delivery. We are looking for a top notch ML engineer to play an instrumental role in enhancing and scaling the platform. In this role, you will work on a variety of impactful and interesting projects, including finding and transforming new datasets, enhancing the efficiency of deep learning algorithms on GPUs, and productionalizing ML workflows. If you have a proven track record of solving challenging problems through first principles thinking and want to join a collaborative and mission-driven team, then we want to talk to you!
What we are looking for- Four-year degree in a quantitative field (computer science, math, physics, statistics, etc).
- 3+ years of experience deploying and productionizing machine learning algorithms (startup experience highly preferred).
- Strong proficiency with Python.
- Experience with one or more deep learning frameworks such as Tensorflow, PyTorch, JAX, Keras.
- Comfortable working with various data science and data engineering tools such as scikit-learn, pandas, Spark, AWS Sagemaker, PostgreSQL etc.
- Deep experience working with GPUs/TPUs
- Familiarity with cloud computing platforms and their various services (AWS EC2, S3, Athena, Kinesis, Lambda, Kafka and/or Google Cloud Compute Engine, Cloud Storage, BigQuery, BigTable, etc).
- Excellent written and verbal communication skills.
- Comfortable working in highly collaborative environments.
- Excellent problem solving skills.
- Experience in the life sciences is not required, but you must be interested and able to learn molecular and structural biology concepts quickly.
Our benefits include excellent medical and dental coverage, a generous compensation package, unlimited vacation policy, and the option to work remotely.
About Nosis BioNosis was founded by a team of Stanford-trained ML scientists, molecular biologists, and chemists, all devoted to building a mission-driven company focused on creating better outcomes for patients. We are a well funded, venture-backed startup.
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Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Engineering and Information Technology
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