Principal Machine Learning Engineer

HealthEdge; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

A leading company in healthcare technology is seeking a Principal Machine Learning Engineer to design and deploy innovative machine learning solutions. You will work alongside data scientists and software engineers to tackle complex healthcare challenges, improve patient care, and enhance operational efficiency. The role requires strong expertise in machine learning, software engineering, and collaboration skills. Join us to drive impactful projects and foster innovation in a supportive work environment.

Qualifications

• Minimum of 8 years of experience in machine learning and software engineering.
• Proven track record of deploying machine learning models in production.

Responsibilities

• Design, develop, and implement robust machine learning models.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Optimize models for accuracy and efficiency.

Skills

Machine Learning

Software Engineering

Data Analysis

Collaboration

Problem-Solving

Communication

Education

Master's or Ph.D. in Computer Science

Master's or Ph.D. in Machine Learning

Master's or Ph.D. in Data Science

Tools

Python

R

Java

TensorFlow

PyTorch

scikit-learn

Job description

Overview

As a Principal Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying machine learning models and algorithms that address complex healthcare challenges. You will collaborate with cross-functional teams, including data scientists, software engineers, and healthcare professionals, to create impactful solutions that improve patient care and operational efficiency. Your expertise in machine learning, software engineering, and healthcare applications will be crucial in driving our projects to success.

Your impact:

• Software Development: Design, develop, and implement robust and scalable machine learning models and algorithms using best practices in software engineering. Ensure that the solutions are maintainable, efficient, and well-documented.

• Integration: Work closely with software engineers to integrate machine learning models into the company's existing software infrastructure, ensuring seamless functionality and performance.

• Data Analysis: Analyze large and complex healthcare datasets to extract meaningful insights and identify patterns that can inform model development and optimization.

• Collaboration: Collaborate with data scientists, software engineers, and healthcare professionals to understand project requirements, define objectives, and deliver high-quality solutions.

• Research and Innovation: Stay up-to-date with the latest advancements in machine learning and healthcare technology, and apply this knowledge to drive innovation within the company.

• Performance Optimization: Optimize machine learning models for accuracy, efficiency, and scalability, ensuring they meet the performance requirements of healthcare applications.

• Mentorship: Provide guidance and mentorship to junior machine learning engineers and software engineers, fostering a collaborative and growth-oriented work environment.

• Documentation: Maintain comprehensive documentation of model development processes, methodologies, and results to ensure transparency and reproducibility.

What you bring:

• Education: Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field.

• Experience: Minimum of 8 years of experience in machine learning and software engineering, with a focus on healthcare applications. Proven track record of successfully deploying machine learning models in production environments.

• Technical Skills: Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Strong software engineering skills, including knowledge of software development lifecycle, version control, and testing.

• Healthcare Knowledge: Strong understanding of healthcare data, clinical workflows, and regulatory requirements. Experience working with electronic health records (EHR) and other healthcare datasets is a plus.

• Analytical Skills: Excellent problem-solving skills and the ability to analyze complex datasets to derive actionable insights.

• Communication: Strong verbal and written communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders.

• Team Player: Ability to work collaboratively in a cross-functional team environment and contribute to the success of the team.

HealthEdge commits to building an environment and culture that supports the diverse representation of our teams. We aspire to have an inclusive workplace. We aspire to be a place where all employees have the opportunity to belong, make an impact and deliver excellent software and services to our customers.

Geographic Responsibility:

Type of Employment: Full-time, permanent

Travel%: 0

FLSA Classification (USA Only): Exempt

Budget/Revenue Responsibility:

Work Environment: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job:

• The employee is occasionally required to move around the office. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.

• Work across multiple time zones in a hybrid or remote work environment.

• Long periods of time sitting and/or standing in front of a computer using video technology.

• May require travel dependent on company needs.

The above statements are intended to describe the general nature and level of the job being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. HealthEdge reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position in compliance with the Americans with Disabilities Act of 1990. Candidates may be required to go through a pre-employment criminal background check.

HealthEdge is an equal opportunity employer. We are committed to workforce diversity and actively encourage all qualified persons to seek employment with us, including, but not limited to, racial and ethnic minorities, women, veterans and persons with disabilities.

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