Machine Learning Engineer

Location: Pittsburgh, PA

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Join a Hypergrowth Company and Make an Impact

We're incredibly proud of our 100% client retention rate and can promise that your projects will involve solving challenges for leading healthcare organizations.

SymphonyRM is a venture backed healthcare start-up based in the Bay Area. We move care beyond treating diseases to targeted interventions across the patient journey to create the influence and loyalty for patients to live healthier lives. Leveraging cutting edge data science to guide Next Best Actions, our HealthOS platform empowers our clients to make smarter decisions in their businesses with our prioritization engine.
We are seeking an outstanding Machine Learning Engineer to join our Data Science & Analytics team to develop our ML infrastructure and pipeline to help clients make better decisions from complex healthcare data sets.


Develop and enhance our cutting edge infrastructure (built on Dask & Prefect) for doing machine learning at scale on healthcare data
Use your software engineering skills to create productized ML pipelines that deploy large numbers of models across many clients
Work collaboratively with data scientists and product managers to design ML infrastructure for the full data science life cycle: assigning labels, feature engineering, training & testing models, hyperparameter tuning, model selection, selecting thresholds, and outputting scores to production.
Use software engineering best practices (version control, automated testing, continuous integration, etc.) to ensure that productized ML pipelines successfully deploy large numbers of models across many clients


You have at least 3 years of professional software engineering in Python used to support machine learning infrastructure.
You are very comfortable using software engineering practices like git source control, automated testing, CI/CD, etc.
You have experience with Docker and container orchestration systems, e.g. Kubernetes or AWS ECS.
You are familiar with modern data warehouse platforms (we use Redshift)
You learn new tools & concepts quickly - the machine learning field is evolving quickly and so are we!
You have strong communication skills: ability to communicate technical concepts clearly and succinctly.

Bonus Qualifications

Experience with workflow systems (like Prefect or Airflow) and distributed computing platforms (like Dask or Spark)
Experience with MLFlow or other open source model performance tracking systems
You have experience with other ML-oriented pipelining tools e.g. dbt, embulk, papermill, GreatExpectations


We provide a great environment to grow in your career and professional development -- you will put into practice and improve modern machine learning approaches
We care deeply about building long-term careers and offer opportunities for our engineers and data scientists to grow in a career track designed for them
You'll work hands-on with large healthcare data sets and a team of outstanding data scientists to solve real world challenges on how to engage patients that will have an impact on their health
Have the opportunity to present your work at technical forums, e.g. one of the keynote talks at the most recent Dask Summit
There is significant flexibility to work remotely
We provide health coverage, company equity, 401k, flexible PTO, team outings (post-pandemic, of course) and more!

At SymphonyRM, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. SymphonyRM believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.

Diversity, Equity, Inclusion Statement

We understand that healthcare disparities persist for marginalized communities, including but not limited to individuals who identify as BIPOC or as part of the LGBTQ+ community. As leaders in the healthcare technology space, we believe we have a moral obligation to build a product that promotes equity in healthcare that centers the lived experiences of people from marginalized communities. We encourage people with all backgrounds to apply, even if you don't believe you meet all the criteria! Our Diversity, Equity, and Inclusion Statement is below:

Our mission is to promote fairness and equity in healthcare - leveraging the power of artificial intelligence combined with human creativity.

We commit to find and root out healthcare bias and inequity.

We will solve this challenge with a diverse team, and we will help healthcare proactively serve the underserved.

CCPA disclosure notice

*** Mention DataYoshi when applying ***

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