Machine Learning Engineer

At H1 we are creating a healthier future by delivering a platform that connects stakeholders across the healthcare ecosystem for greater collaboration and discovery.  We believe providing a trusted and single source of truth for healthcare professional information will power connections in healthcare - and that these connections will lead us to a healthier future. Visit h1.co to learn more about us.

WHAT YOU’LL DO AT H1As a Machine learning engineer, you will work on utilizing and/or adapting advanced ML algorithms (supervised, unsupervised, semi-supervised, RL) to solve challenging business problem in a variety of areas including entity matching, natural language understanding, knowledge graphs and information systems. Research scientists and engineers will also design novel experiments and create implementations to enable model integration into the production stack.
You will:- Implement and scale advanced ML algorithms and incorporate recent advancements in the field to address relevant ML problems- Adapt, customize or build-upon state-of-the-art AI/machine learning solutions to support H1’s unique ML use-cases- Build relevant data processing capabilities and optimization workflows to support large-scale learning from multi-modal data- Build quick Proof of Concepts (POC) and take ownership around projects to demonstrate utilization and value and drive to production-ready solutions- Collaborate with ML scientists, engineers, and other groups within H1 to build and deploy ML solutionsLeverage experience with systems and application development to realize ML capabilities to help build scalable, robust, resilient, automated processes

ABOUT YOU- PhD preferred- Experience of applying ML in one or more of the following areas: entity matching, knowledge graphs, text analytics/NLP, information architecture (taxonomies, ontologies)- A demonstrable track record of applying ML to build sophisticated solutions and delivered/deployed projects in the area.- Experience with AWS stack preferred

REQUIREMENTS- Master’s degree in computer science, Electrical Engineering, statistics, or related quantitative discipline with a focus on Machine Learning/AI/data mining or related areas with 3+ years of experience (PhD preferred)- Strong knowledge and understanding of foundational concepts in machine learning such as bias-variance trade-off, loss functions, regularization, model and feature selection, evaluation methodologies, optimization, and statistical testing- Ability to implement complex machine learning algorithms and grasp the underlying mathematical framework- Applied experience in two or more of the following areas: machine learning/AI algorithms, data mining, scalable systems (e.g. Spark), large scale data analysis, optimization, functional analysis and deep learning- Experience in utilizing ML and deep learning frameworks (e.g., MLLib, sklearn, Tensorflow, MxNet), AutoML techniques (e.g., hyperparameter optimization) and large-scale and distributed optimization approaches- Strong coding skills with Python, C/C++ Scala, or any proficient ML language of choice and stacks supporting large scale machine learning- Strong computer science skills on programming and algorithmic trade-offs- A collaborative team player with a passion to transform healthcare for better using AI and machine Learning
Not meeting all the requirements but still feel like you’d be a great fit? Tell us how you can contribute to our team in a cover letter!

H1 OFFERS- A competitive compensation package including stock options- A full suite of health insurance options, in addition to Unlimited Paid Time Off- Flexible work hours & the opportunity to work from anywhere, with optional commuter benefits- Investment in your success by providing you with the skills, knowledge, and mentorship to make you successful.- An opportunity to work with leading biotech and life sciences companies, in an innovative industry with a mission to improve healthcare around the globeH1 Insights is proud to be an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and teammates. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, ancestry, national origin, religion, disability, sex (including pregnancy), age, gender, gender identity, sexual orientation, marital status, veteran status, or any other characteristic protected by law. If you’re interested in a fast-paced and exciting work environment at a growing company, we encourage you to apply!