Join Us as a Senior Machine Learning Engineer!
Are you passionate about creating large-scale systems that impact the real world? Our client, an innovative and rapidly growing AI company revolutionizing healthcare, is on the lookout for a Senior Machine Learning Engineer to lead the exciting design, deployment, and optimization of production-quality ML systems. This role offers the chance to shape the future of applied AI in healthcare while collaborating with some of the brightest minds in the field.
Key Responsibilities:
- Collaborate across teams with data scientists, engineers, and product professionals to develop scalable ML solutions.
- Mentor and guide junior engineers, setting high standards and refining the company's ML engineering practices.
- Architect robust systems that efficiently support high-volume batch and real-time inference.
- Design and develop APIs, feature stores, and automation tools to expedite ML experimentation and deployment.
- Construct and maintain data ingestion, training, evaluation, and model serving pipelines.
- Implement comprehensive monitoring and reliability frameworks to guarantee production-grade performance.
- Optimize performance across the ML stack, focusing on latency, scalability, and cost-efficiency.
What You Need:
- Proven experience in building and deploying ML models in live environments.
- Strong programming skills in Python, Go, C++, or Java.
- Familiarity with distributed training, data pipelines, and real-time inference systems.
- Solid understanding of ML concepts, especially related to computer vision or large language models (LLMs).
- Expertise with cloud platforms such as AWS, GCP, or Azure, along with DevOps tools like Kubernetes, Terraform, and Docker.
Why You Should Apply:
- Attractive compensation package and equity options.
- Flexible and hybrid work arrangements available across key U.S. tech hubs.
- A collaborative, high-growth culture that values ownership and innovation.
- Opportunity to contribute to a mission-driven environment, shaping the future of AI in healthcare.
To apply, please reach out to Sam Shinner at Discover International.