Website genomestream GenomeStream
Precision Medicine Infrastructure
Job Description
About the Role
Develop deep learning models powering our industry-leading recommendation engine and NLP products. Lead research initiatives, optimize ML operations, and establish best practices for model development. Mentor teams working on computer vision and generative AI applications.
Responsibilities
- Design and implement ML models using TensorFlow/PyTorch
- Optimize model training efficiency on GPU clusters
- Develop MLOps pipelines for continuous training
- Research and prototype novel neural architectures
- Implement model monitoring and drift detection
- Collaborate on product integration strategy
- Guide technical roadmap for ML platform
- Publish research findings and file patents
Requirements
- PhD in Machine Learning or related field
- 5+ years production ML development experience
- Expertise in Python and deep learning frameworks
- Publications in top-tier conferences (NeurIPS, ICML)
- Experience with distributed training frameworks
- Familiarity with Kubernetes-based ML deployment
- Strong software engineering fundamentals
- Experience translating research to production
Benefits
- $250,000 – $350,000 total compensation package
- Equity grants upon hire and annually
- $15k/year research allowance
- Flexible research project allocation (20% time)
- Conference travel funding
- Custom workstation build allowance
- 300 hours annual paid development time
- Family health coverage including fertility benefits
About the Company
SynthIntelligence pioneers generative AI solutions for creative industries with advanced research labs in Boston and San Francisco. We maintain an agile startup culture within a well-funded organization, encouraging innovation through hackathons, collaboration with academic institutions, and patents for breakthrough technologies.
Job ID: principal-machine-learning-engineer-pYbM0
