Biological Reasoning Systems Engineer
2 weeks ago
We are seeking an experienced Machine Learning Engineer to join our team at Output Services. This is a challenging and rewarding role that requires strong technical skills and a passion for developing innovative solutions.
Job DescriptionAs a Machine Learning Engineer, you will be responsible for designing and implementing advanced machine learning algorithms to enhance model performance and biological understanding. You will work on distributed training systems to scale our models to billions of parameters, optimizing for performance and efficiency across multi-GPU and multi-node setups while handling large-scale biological datasets. Additionally, you will develop and implement robust evaluation frameworks for complex biological models, ensuring data integrity and preventing leakage across dataset splits.
Responsibilities- Design and implement advanced machine learning algorithms to enhance model performance and biological understanding
- Develop and fine-tune generative models for biological applications, exploring innovative architectures to capture the complexities of multi-scale biological systems
- Work on distributed training systems to scale our models to billions of parameters, optimizing for performance and efficiency across multi-GPU and multi-node setups while handling large-scale biological datasets
- Engineer efficient data pipelines to manage and process massive biological datasets, addressing challenges in data loading, splitting, and memory optimization
- Develop and implement robust evaluation frameworks for complex biological models, ensuring data integrity and preventing leakage across dataset splits
- Bachelor's degree in Computer Science, Machine Learning, or a related technical field
- 3+ years of experience in developing and implementing machine learning models
- Proficiency in Python and expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX)
- Experience with deep learning and generative architectures such as transformers, diffusion models, and autoencoders
- Skilled in working with large-scale datasets and distributed computing environments
- Strong understanding of machine learning fundamentals, including various model architectures, optimization techniques, and evaluation metrics
- Competitive salary: $120,000 - $180,000 per year, depending on experience
- Equity in a growing, well-funded startup
- Excellent medical, dental, and vision coverage
- Healthy feedback-focused environment to help you strive
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