What are the responsibilities and job description for the Sr. Machine Learning Engineer position at Harnham?
SR. MACHINE LEARNING ENGINEER
Location: San Francisco, CA (Hybrid)
Salary: $200,000 - $290,000 per year
About the Company:
We are an AI-native biotechnology company focused on harnessing machine learning to solve complex challenges in healthcare.
We combine advanced AI techniques with cutting-edge research to develop innovative solutions that transform the landscape of medicine.
The Role:
As a Sr. MLE, you will work with a highly technical, interdisciplinary team to design and scale systems that support the research and development of transformative therapies.
This role focuses on optimizing infrastructure and systems for scalable training and deployment of ML models.
Key Responsibilities:
- Design, build, and maintain distributed systems for training and inference of machine learning models at scale.
- Manage GPU clusters and cloud infrastructure, ensuring efficiency and scalability for large-scale workloads.
- Collaborate with ML and Engineering teams to implement an ML Platform that streamlines both research iteration and scaling.
- Optimize model architectures, data loaders, and training pipelines for performance and efficiency.
- Develop systems for effective analysis of model results and scalable deployment solutions.
Qualifications:
- Proven experience building and scaling distributed systems for ML training and inference.
- Experience working with large GPU clusters.
- Strong proficiency in PyTorch.
- Experience with ML frameworks.
- Deep understanding of cloud computing platforms, distributed systems, and scalable infrastructure.
- Strong Communicator.
Nice-to-haves:
- Ray Framework.
- Kubernetes.
- Sagemaker.
- Optimization of data loaders.
- Experience working with multiple data modalities (e.g., images, sequences).
- Built custom data pipelines.
- Experience deploying production software.
About You:
To be successful in this role, you should have strong technical skills, excellent communication skills, and a passion for machine learning.
We welcome applications from experienced professionals who are looking to make a meaningful impact in the field of biotechnology.
Salary : $200,000 - $290,000
