Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4351327348&f_AL=true&f_TPR=r86400&f_WT=2&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER&start=425

Job Description: Staff Machine Learning Engineer - AI Imaging
Discover International · United States (Remote)

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Meet the hiring team

Sam Shinner  
 3rd
Practice Director at Discover International - AI/ML - Computational Science & Technology - Biotech & Digital Healthcare | Healthcare AI | Generative AI |
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About the job
Staff Machine Learning Engineer 



We're looking for a Staff Level Machine Learning Engineer build large-scale systems that make a real-world impact?


Our client — a fast-growing AI company revolutionising healthcare — is seeking a Staff Machine Learning Engineer to lead the design, deployment, and optimisation of production-grade ML systems.


This is your opportunity to shape the next generation of applied AI in healthcare and work with some of the brightest minds in the industry.


Responsibilities: 



Collaborate cross-functionally with data scientists, engineers, and product teams to design and deliver scalable ML solutions.
Mentor and guide other engineers, setting standards and shaping the company’s ML engineering practices.
Architect robust systems that support high-volume batch and real-time inference.
Develop APIs, feature stores, and automation tooling to accelerate ML experimentation and deployment.
Build and maintain pipelines for data ingestion, training, evaluation, and model serving.
Implement monitoring, observability, and reliability frameworks to ensure production-grade performance.
Optimise performance across the ML stack — balancing latency, scalability, and cost-efficiency.


Requirements:



Experience building and deploying ML models in production environments.
Strong programming background in Python, Go, C++, or Java.
Experience with distributed training, data pipelines, and real-time inference systems.
Sound understanding of ML concepts, particularly in computer vision or large language models (LLMs).
Deep expertise with cloud platforms (AWS, GCP, or Azure) and DevOps infrastructure (Kubernetes, Terraform, Docker).


Why apply?



Competitive compensation and equity package.
Flexible and hybrid work options across major U.S. tech hubs.
A high-growth, collaborative culture where ownership and innovation are valued.
A mission-driven environment — shaping the future of AI-powered healthcare.


To apply please contact Sam Shinner at Discover International