Staff Machine Learning Software Engineer

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by Abridge, so some details may not match this job. The employer's own page has the real description.

Overview

The Staff Machine Learning Software Engineer at Abridge will be responsible for designing, developing, and deploying machine learning models that enhance the company's capabilities in transforming healthcare data into actionable insights. This role entails collaborating with cross-functional teams to identify opportunities for applying advanced analytics and machine learning techniques to improve patient care and streamline processes. The candidate will lead initiatives to build scalable solutions while ensuring alignment with the organization's overall technological strategy.

Job Responsibilities

• Architect, design, and implement robust machine learning algorithms tailored for healthcare applications.
• Collaborate with data scientists and domain experts to identify critical problems and develop viable ML solutions.
• Optimize existing models to enhance efficiency, accuracy, and performance in real-world scenarios.
• Conduct rigorous testing and evaluation of machine learning systems for reliability and robustness.
• Mentor and guide junior engineers while fostering a culture of innovation within the team.
• Stay abreast of the latest industry trends and advancements in machine learning and artificial intelligence.
• Contribute to the documentation of processes, best practices, and lessons learned throughout the development cycle.

Qualifications

• Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
• A minimum of 5 years of professional experience in software development with a strong focus on machine learning.
• Proficiency in programming languages such as Python, R, or Java; experience with ML libraries and frameworks.
• Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and data pipelines.
• Strong problem-solving skills with an analytical mindset and attention to detail.
• Excellent communication skills for effective collaboration across teams and stakeholders.

Technologies & Tools

The Staff Machine Learning Software Engineer will primarily utilize tools and technologies such as TensorFlow, PyTorch, Scikit-learn, and Jupyter Notebooks for machine learning model development. Additionally, proficiency in cloud services like AWS SageMaker and data storage solutions including SQL and NoSQL databases will be essential. Familiarity with version control systems such as Git and deployment tools like Docker will also be beneficial in maintaining an efficient development workflow.

Ideal Candidates

The ideal candidates for this position will possess a natural curiosity and passion for using technology to solve complex problems. They will demonstrate a commitment to continuous learning and improvement while thriving in a collaborative environment. Strong leadership qualities, along with excellent interpersonal skills, are essential to inspire team members and drive projects to success. Candidates who embrace challenges and show resilience in the face of obstacles will be highly valued.