Senior Machine Learning Engineer, Computer Vision

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Apella

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

☁️ SaaS

💰 $21M Series A on 2021-12

Artificial Intelligence • Healthcare Insurance • SaaS

Apella is a company that offers an AI-powered surgical operations platform aimed at transforming operating rooms (ORs). Their platform helps perioperative teams make better real-time decisions, improve safety and quality processes, and optimize scheduling and staffing. By providing predictive insights and auditing key safety processes, Apella enables hospitals to enhance operating efficiency, reduce staff burnout, and improve the overall patient experience. Their solutions offer valuable analytics to address complex scheduling and utilization questions, ultimately increasing surgical volume and efficiency in ORs.

📋 Description

• Collaborate closely with engineering, product, and data science teams to understand business challenges and the potential for machine learning and AI solutions. • Develop tools and automate manual processes to improve operational efficiency, accelerate experimentation velocity, and minimize human error. • Build, integrate, and monitor the end-to-end lifecycles of large-scale, distributed machine learning systems. • Investigate model performance and identify data quality and performance issues.

🎯 Requirements

• 5+ years of experience working with machine learning systems, covering the full production workflow and monitoring. • Experience with designing and building tooling around annotation / curation / management of ML datasets. • Proficiency in handling real-world, high volume and velocity datasets, particularly familiarity with image and video formats. • Proficiency in using AI tools and techniques to expedite product development. • A strong commitment to craftsmanship and producing high-quality work. • Familiarity with developing SaaS products for business customers. • Good to have: • - Experience working in healthcare or other regulated industries. • - Hands on experience with video ML inference • - Experience with DAG frameworks

🏖️ Benefits

• Offers Equity