Machine Learning Engineer
Machine Learning Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
- Build foundational models that can read and write biology at scale.
- Develop and experiment with generative architectures (transformers diffusion autoencoders) to capture complex multi-scale biological data.
- Work on distributed training pipelines handling billions of parameters across multi-GPU and multi-node environments.
- Engineer efficient data pipelines for massive datasets optimizing for speed memory and reproducibility.
- Design robust evaluation frameworks to ensure integrity prevent leakage and validate models against real-world biological problems.
- Bachelors in Computer Science Machine Learning or related technical field.
- 3 years of experience developing and deploying deep generative models.
- Solid experience in pre-training models and distributed computing environments.
- Proficiency in Python and at least one deep learning framework (PyTorch TensorFlow JAX).
- Familiarity with large-scale datasets and scaling models to billions of parameters.
- Strong grasp of ML fundamentals: architectures optimization and evaluation.
- Experience designing and managing large-scale data pipelines.
- Background in robust evaluation methods for complex ML projects.
- Strong coding practices: version control testing collaborative workflows.
- Problem-solver who thrives in ambiguity and takes ownership.
- Clear communicator who can explain complex technical ideas.
- Motivated to make a real-world impact through AI in life sciences.
- Pragmatic and focused but curious enough to test unconventional ideas.
- Experience applying ML to biology or chemistry.
- Publications or open-source contributions in ML/AI.
- High-performance computing and ML Ops experience.
- Competitive salary and meaningful equity.
- Medical dental and vision coverage.
- A culture of feedback and growth: leadership sets high expectations shares constructive input and welcomes ideas from every team member.
- Freedom to manage your day-to-day while hitting key milestones.
- A chance to shape the culture and direction of the team from an early stage.
Employment Type
Full Time
