Job Description

Backend Software Engineer (ML) - Hybrid Role in San Francisco

Are 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 remotely.
• Competitive 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 company.
• Comprehensive 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!

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