Vilya · 1 week ago
Deep Learning Intern
Seattle, WA
Internship
Onsite
Intern
$10,000/mo - $10,000/mo
Start in 2026 SummerVilya is a computational biotechnology company creating a novel class of medicines to precisely target disease biology. They are seeking a highly-motivated Deep Learning Intern to help develop internal methods and maintain state of the art machine learning models that power Vilya’s platform to design new therapeutics.
BiotechnologyHealth DiagnosticsLife ScienceMedical
Responsibilities
Design, develop, and maintain a real-world deep learning framework that improves or expands upon Vilya’s macrocycle drug design pipeline
Collaborate and communicate with fellow experts in deep learning as well as the broader interdisciplinary Vilya team, including our research scientists in chemistry and biology
Get hands-on experience working with heterogeneous data gathered by our chemistry and biology teams, including a variety of in vitro assay measurements
Qualification
Required
Current PhD student in computer science, computational biology, bioinformatics, or a field applicable to computational drug discovery
Strong background in the fundamentals of machine learning, including linear algebra, calculus and statistics
Experience developing, deploying, and managing deep learning models and formatting large datasets for real-world problems
Proficiency in Python and PyTorch
Ability to work well with an interdisciplinary team and to communicate complex scientific ideas to diverse audiences
Availability to work for 12-16 weeks during Summer 2026
Ability to work on site in our Seattle, WA office. No relocation costs will be provided through this internship
Preferred
Experience with Slurm, Singularity, BigQuery and/or other cloud and high-performance computing infrastructure
Experience with concepts and deep learning techniques relevant to drug discovery and protein design, such as transformers, graph neural networks, equivariance, diffusion generative modeling, etc
Experience profiling and optimizing deep learning training/inference performance, including techniques such as pruning/quantization, parameter-efficient fine-tuning (e.g., adapters/LoRA), and implementing or integrating custom CUDA/Triton kernels or fused ops
Specific experience working with structure prediction or backbone diffusion models, such as AlphaFold, RosettaFold, Chroma, Boltz, etc
Experience working with reinforcement learning or active learning techniques, e.g. for optimizing molecules based on feedback from assays or expensive computational oracles
Experience with molecular property prediction, e.g. solubility, partition coefficients, toxicity, etc
Exposure to concepts in drug discovery such as ADME / Tox / DMPK
Benefits
Opportunity to work in a disruptive startup with a talented, experienced, and dedicated team
Monthly commuter stipend
Company
Vilya
Vilya is a biotechnology company developing a novel class of drugs that precisely target the biology of disease.
Founded in 2022
11-50 employees
H1B Sponsorship
Vilya has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)
Funding
Current Stage
Early StageTotal Funding
$71MKey Investors
ARCH Venture Partners
2024-06-04Series A· $21M
2022-08-29Series A· $50M
Leadership Team
Sabah Öney
Co-Founder, Interim CEO, Member Board of Directors
Adam Moyer
Co-Founder - Director of Molecular Design
Recent News
Company data provided by crunchbase