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Machine Learning Engineer

Job Type

Full-Time

Location

Remote

About Percipio

Percipio Health is applying advanced technology, including artificial intelligence, to improve the lives of patients and their health care providers. We are a motivated and experienced team of top performers who are committed to providing a mutually respectful work environment. At Percipio Health, we believe diversity and equal employment opportunities among our teammates are critical to our success as a business and team. We provide a collaborative work environment and seek to recruit, develop, and retain the top professionals from a diverse candidate pool across the country. We are an early stage start-up and there are a lot of opportunities to have tangible impact and to grow with us.

At Percipio Health, we are committed to leaving no patient behind by leveraging AI to deliver personalized care at scale. Our mission is to enhance patient care through AI-guided insights that empower clinicians and caregivers, providing a holistic view of a patient's health while reducing clinician burden​​. Join us in our journey to care for more patients, discover unmet needs, and leave no patient behind.

About the Role

You will work directly with the other software engineers, product managers, and clinical experts as part of our product and engineering team to take unique ML-powered solutions from idea to being in the hands of real patients, their caregivers, and their health care providers. At Percipio we are about making sure AI has the opportunity to have a real impact on healthcare, improving the lives of people every day. To do this we need to combine a passion for pushing the boundaries of AI, delivering value often, measuring our impact, and committing to the importance of ethics and privacy. AI is not a feature, a product, or a solution - it’s a way of delivering value in new and impactful ways in everything we do. You will get to work on everything from computer vision models optimized for running on mobile devices to cloud-hosted language models that add value to applications used by doctors and nurses.

Responsibilities

  • ML/AI application and service development, deployment, and support

  • Dataset management

  • Data and training pipeline development

  • Model development, configuration, and tuning

  • Model validation and accuracy reporting

  • Staying up to date with emerging technologies, abilities, and techniques

Qualifications

  • 3+ years of industry experience in building production-grade AI/ML systems

  • Experience employing LLMs, embedding models, and other cutting edge models and tools

  • History of successfully launching new products and supporting them

  • Proficiency in Python

  • Proficiency with cloud engineering tools and principles

  • Familiarity with ML Ops tools and best practices

  • Experience with data manipulation, augmentation, annotation, cleansing, and preprocessing techniques

  • Knowledge on state of ML/AI abilities and offerings

  • Comfortable working with a small, 100% remote team

  • High regard given to ethics in technology (AI, robotics, engineering)

  • A passion to see models through to production

  • Ready to make a difference, trust in your team, ask hard questions, and be open to learning


Beneficial, but absolutely not required

  • Experience with PyTorch

  • Experience with TensorFlow

  • Experience with computer vision models, principles, and techniques

  • Experience with HIPAA compliance and healthcare applications

Company Benefits

  • Highly competitive compensation

  • Medical, Vision, & Dental Insurance

  • Health Savings Account

  • Unlimited PTO (“unlimited” isn’t a trick - we really do believe in work/life balance)

  • Opportunities for professional growth with a senior leadership team committed to your success

  • Work from anywhere in the US - 100% remote with annual company gatherings

  • A collaborative, innovative, fun and positive mindset environment

  • Budget to choose your own equipment

  • A founding team with multiple proven healthcare IT successes, including its most recent company being acquired by a Fortune 5 organization in 2019

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