Backend Software Engineer (ML)

Backend Software Engineer (ML) - Hybrid Role in San FranciscoAre you a talented Backend Software Engineer with a passion for machine learning? This role offers an exceptional opportunity to contribute to groundbreaking AI products in the healthcare sector. With a competitive salary range of $190,000 - $220,000 and the flexibility of a hybrid work environment, this position is designed to attract top-tier talent.Why This Role Stands Out:Innovative Environment: Join a forward-thinking company that has recently secured £51 million in Series C funding, ensuring a stable and growth-oriented workplace.Hybrid Work Model: Enjoy the best of both worlds with three days per week in the vibrant San Francisco office and the remainder working petitive Compensation: Earn a lucrative salary that reflects your expertise and contributions to cutting-edge AI healthcare solutions.Visa Support: H1B visa transfers are supported, making this an excellent opportunity for international candidates looking to make a significant impact in the US tech scene.Role Overview:As a Backend Software Engineer (ML), you will play a crucial role in developing and maintaining the backend infrastructure that powers innovative AI healthcare products. Your work will directly impact the efficiency and effectiveness of healthcare solutions, making a real difference in people's lives.Key Responsibilities:Design, develop, and maintain scalable backend systems that support AI-driven healthcare applications.Collaborate with ML engineers and data scientists to integrate machine learning models into production.Optimize system performance to handle large-scale data processing and real-time analytics.Ensure security, reliability, and scalability of backend services.Work with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker and Kubernetes.Key Requirements:5+ years of experience in backend software engineering, preferably with a focus on machine learning infrastructure.Strong proficiency in Python, Java, or Go.Experience with databases (SQL & NoSQL) and distributed systems.Knowledge of RESTful APIs, microservices architecture, and cloud computing.Familiarity with MLOps, data pipelines, and model deployment is a plus.Perks & Benefits:Stock options in a rapidly growing AI healthcare prehensive health, dental, and vision insurance.Flexible working arrangements with a hybrid setup.Generous PTO and parental leave.Ready to join a pioneering team at the forefront of AI in healthcare? Apply today!

Created: 2025-02-21