(Remote, Hungary) Senior Machine Learning Engineer

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ABOUT ARTERA

Our Mission: Make healthcare #1 in customer service.

What We Deliver: Artera (formerly WELL Health^®) is the patient communication platform that delivers happier staff, healthier patients, and more profitable organizations. We enable two-way conversations between patients and their healthcare teams through secure, multilingual messaging across multiple channels – including text, email, and phone. By combining disjoined touchpoints into one intuitive channel, Artera drives connected patient experiences and allows organizations to deliver the best customer service possible.

Our Impact: Artera assists 500+ healthcare providers in facilitating more than 1 billion messages for 40+ million patients annually.

Our award-winning culture: In 2021, Artera was named #10 on the list of America’s Best Startup Employers, and one of (#133). Artera was also recognized as one of the Best Midsize Companies to Work for in Los Angeles by in 2022, and has been ranked on the list of fastest-growing private companies for three consecutive years.

SUMMARY

AI is crucial to Artera's ability to improve patient experiences, streamline workflows and empower health systems to deliver the best possible quality care. With the latest advances in AI, new and exciting opportunities have materialized, reinforcing AI as a vital strategic emphasis in Artera’s product vision.

For this purpose, Artera's data team is creating a Machine Learning team and is searching for a talented Senior Machine Learning Engineer. In this role, you will primarily work with product managers, software engineers and data scientists to design and provide customer-facing ML solutions in production, while developing ML workflows and end-to-end pipelines for data preparation, training, deployment, monitoring to ensure the quality of architecture and model performance.

If you are a self-starter who enjoys using ML expertise to make a difference in health care, this is the right opportunity for you.

RESPONSIBILITIES

Create, design, build and launch end-to-end machine learning models
Lead exploratory data analysis to test, define and iterate from idea to proof-of-concept
Construct feature pipeline with analytics engineers to automate feature extraction and monitoring
Create and maintain Sagemaker pipelines to automate inference generation and collaborate with product engineering for product integration
Responsible for Sagemaker automated testing and deployment processes for machine learning models
Create and own AWS Sagemaker managed framework for performance monitoring, evaluation and automated retraining

REQUIREMENTS

MS or higher in a quantitative field
7+ years of full-time experience in creating machine learning products
End-to-end experience in designing and launching machine learning features
Strong proficiency in Python, and experience with machine learning framework such as TensorFlow, or Keras
Experience with big data processing frameworks such as Spark
Hands-on experience with in cloud infrastructure, preferably AWS
Demonstrated ability to choose the right solution for the right problem
Good communication skills and business mindset

BONUS

Proficiency in NLP
Experience with HL7 FHIR format, EHR data
Familiarity with US health system
Experience with dbt, Snowflake

LOCATION

Artera is expanding its Engineering team in Hungary. We are looking for candidates who currently live in Hungary. This is a remote position.

WORKING AT ARTERA

Career development - Mentorship program, management development cohorts, individual learning stipend.
Generous time off - Company holidays, wellness days, and flexible time off.
Employee Resource Groups (ERGs) - We believe everyone should belong at their workplace. Our ERGs are available for employees who identify as such or allies to join.

Interested in learning more? Please visit our or our to hear from our employees about working at Artera.

Committed to Diversity, Equity, and Inclusion

Artera is an Equal Opportunity Employer and is committed to fair and equitable hiring practices. All hiring decisions at Artera are based on strategic business needs, job requirements, and individual qualifications. All candidates are considered regardless of race, color, religion, gender, sexuality, national origin, age, disability, genetics, or any other protected status.

That said, research indicates that women and other underrepresented groups apply only if they meet every criteria. Artera is dedicated to levelling the playing field, and we encourage you to apply for positions even if you do not meet every criterion. We would love to connect with you and see if you would be a good fit for our role!

We’re dedicated to creating an inclusive, equitable, and diverse workplace, where everyone feels safe to be