Machine Learning Engineer
Terray Therapeutics
This job is no longer accepting applications
See open jobs at Terray Therapeutics.See open jobs similar to "Machine Learning Engineer" Two Sigma Ventures.Company Overview
Terray is a biotechnology company with the technology, data, and mindset to radically change the way we discover and develop small molecule therapeutics. We explore molecules and targets broadly and deeply with a sophisticated integration of ultra-high throughput experimentation, generative AI, biology, medicinal chemistry, automation, and nanotechnology. Everything the company does is grounded in an iterative approach, producing massive amounts of precise, purpose-built data mapping interactions between small molecules and causes of disease that gets increasingly valuable with each cycle of design and experimentation. The company’s platform uniquely blends experimentation and computation to improve the cost, speed, and success rate of small molecule drug discovery and development.
Position Summary
The core responsibilities of this position are:
- Train, polish and extend our suite of 2D and 3D conditioned drug generative models in our proprietary PyTorch codebase (JAX permitted)
- Test embeddings of protein environments, and further improve clinical likelihood enrichment
- Iterate training and assessment of novel property models for new targets as our data process provides new information
- Feed the training pipeline on our NVidia DGX Cloud distributed training resources
- Deploy models as components to our existing inference and design tools
- Communicate and Coordinate your experiments with the rest of the Machine Learning Team
Experience and Qualifications
Part of Terray’s success is nurtured by a hands-on work environment where everyone is accountable, vested in a vision of excellence, and actively taking part in the success of the business. Terray supports a positive work environment where employees can feel engaged, recognized and empowered to be creative.
Required Qualifications
- Fluent in PyTorch and/or JAX
- Experience authoring high performance modules for expressive encoders/decoders and/or generators of structured data manifolds
- Comfortable manipulating data and models in a heterogeneous, multi-cloud, decentralized infrastructure (sql, no-sql, docker, redis, aws, dgx)
- Experience with distributed model training
- Familiarity with molecular data manifolds is a plus
- Willingness to demonstrate mastery of ML in a short (< 6 hr) at-home exercise, or with a preponderance of visible work
Compensation Details
$132,000 - $198,000 (annually) depending on seniority; participation in the Company's option plan; 3% 401K contribution; full benefits
This job is no longer accepting applications
See open jobs at Terray Therapeutics.See open jobs similar to "Machine Learning Engineer" Two Sigma Ventures.