Senior Machine Learning Engineer, Computer Vision

Apella

Completely RemoteFull TimeHealthcare & Telemedicine
Posted Today

Job description

About the Company

Apella is applying computer vision and machine learning to improve the standard of care in the most critical aspect of healthcare: surgery. We build applications to enable surgeons, nurses, and hospital administrators to deliver the highest quality care.

Responsibilities

  • 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 and accelerate experimentation velocity
  • 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 designing and building tooling around annotation, curation, and management of ML datasets
  • Proficiency in handling real-world, high volume and velocity datasets, particularly image and video formats
  • Proficiency in using AI tools and techniques to expedite product development
  • Passion for writing readable, tested, and efficient code
  • Familiarity with developing SaaS products for business customers

Preferred Qualifications

  • Experience working in healthcare or other regulated industries
  • Hands on experience with video ML inference
  • Experience with DAG frameworks

Benefits

  • Competitive salary and stock options
  • Flexible vacation policy
  • Remote-first work environment
  • Comprehensive health, dental, and vision insurance
  • 16 weeks of parental leave

Skills & tools

Computer VisionMachine LearningSAAS

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 015+ years ML experience
  2. 02ML dataset curation experience
  3. 03Image and video data proficiency
  4. 04SaaS product familiarity
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