Machine Learning Engineer I - Clinical Data Science - Digital and Technology Partners - Hybrid/[...]

Mount Sinai Medical Center; New York, Christiansted (NY, United States Virgin Islands); Hybrid; USD 109,000 - 164,000; Full time

Job summary

An established industry player is seeking a Machine Learning Engineer I to contribute to innovative machine learning applications. This hybrid/onsite role offers the opportunity to work closely with engineers and data scientists, enhancing systems that impact healthcare delivery. You will play a pivotal role in developing scalable solutions, mentoring junior team members, and ensuring the reliability of machine learning models. Join a dynamic team dedicated to transforming healthcare through cutting-edge technology and collaborative efforts. If you are passionate about leveraging data to improve patient outcomes, this is the perfect opportunity for you.

Qualifications

• Bachelor's degree in Computer Science or Data Science required.
• 4+ years of experience in machine learning or back-end development preferred.

Responsibilities

• Develop and enhance machine learning applications and systems.
• Provide technical leadership and mentorship to junior engineers.
• Communicate technical ideas to non-technical stakeholders.

Skills

Machine Learning

Back-end Software Development

Programming (Python, Java, Scala)

SQL

Big Data Technologies (Apache Spark)

Cloud Systems (AWS, Azure, Google Cloud)

Leadership

Communication

Education

Bachelor's Degree in Computer Science

Bachelor's Degree in Data Science

Tools

Machine Learning Frameworks

Python

Java

Scala

Apache Spark

AWS

Azure

Google Cloud

Job description

Description

Machine Learning Engineer I - Clinical Data Science - Digital and Technology Partners - Hybrid/Onsite, Req#3025164

This is a hybrid/onsite position, at corporate location is 150 E 42nd Street

Machine Learning Engineer I will be primarily responsible for contributing to the development and enhancement of machine learning applications and systems. They will work closely with other engineers and data scientists to design and implement scalable and efficient machine learning systems.

Responsibilities

Essential Duties and Responsibilities

1. Primary Developer Responsibility:
   • Play a central role in the machine learning system development while coordinating with a Senior or Lead engineer for overarching project management.
   • Contribute significantly to the integration of machine learning systems into broader organizational processes and workflows, ensuring alignment with overall project objectives overseen by higher-level engineers.
   • Work in collaboration with cross-functional teams, including data scientists and product managers, assisting in the successful deployment and maintenance of machine learning models.
   • Actively monitor deployed models and coordinate with the Senior Machine Learning Engineer to make necessary updates, ensuring the models’ continued performance and reliability.
2. Technical Leadership:
   • Provide technical leadership and mentorship to junior engineers and other team members.
   • Facilitate knowledge sharing and professional development within the team.
   • Act as a point of contact for technical queries related to machine learning systems within the team.
3. Research and Development:
   • Stay abreast of the latest advancements and trends in the field of software engineering and machine learning.
   • Conduct research to identify new methods and techniques that can be applied to future projects.
   • Lead initiatives to test and implement new technologies and frameworks.
4. Additional Responsibilities:
   • Effectively communicate statistical and technical ideas and results to non-technical stakeholders in written and verbal form to ensure decision points and their impact are clearly understood by all audiences.
   • Develop and maintain project work plans, including critical tasks, milestones, timelines, interdependencies, and contingencies. Track and report progress. Keep stakeholders apprised of project status and implications for completion.
   • Prepare clear, well-organized project-specific documentation, including, at a minimum, analytic methods used, key decision points and caveats, with sufficient detail to support comprehension and replication.
   • Mentor other analysts on how to a) determine appropriate statistical analysis methods, b) leverage appropriate programming languages and tools, and c) generate and interpret statistical analysis outputs.
   • Share development and process knowledge with other analysts in order to assure redundancy and continuously build a core of analytical strength within the organization.
   • Adhere to corporate standards for performance metrics, data collection, data integrity, query design, and reporting format to ensure high quality, meaningful analytic output.
   • Work closely with IT on the ongoing improvement of Mount Sinai’s integrated data warehouse, driven by strategic and business needs, and designed to ensure data and reporting consistency throughout the organization.
   • Demonstrate advanced level proficiency with the principles and methodologies of process improvement. Apply these in the execution of responsibilities in support of a process-focused approach.
   • Other duties as assigned.

Qualifications

Requirements

• Bachelor's degree in Computer Science, Data Science, or a related field.
• Strongly Preferred: 4+ years of relevant experience in machine learning, back-end software development, or a related field.
• Proficiency in machine learning frameworks, programming languages, and tools.
• Proficient in programming languages such as Python, Java, and Scala.
• Strong experience with SQL.
• Strong experience with Big Data technologies like Apache Spark.
• Knowledge and experience with at least one cloud system among AWS, Azure, or Google Cloud.
• A proven track record in developing and deploying efficient and reliable machine learning systems.
• Strong leadership and communication skills.

Employer Description

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Compensation

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $109000 - $163695 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.