Backend Software Engineer (ML)

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!