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Machine Learning Engineer

1 month ago

Baltimore, United States Medifast, Inc Full time
About The Opportunity

At Medifast, our team members are relentless in our mission of driving Lifelong Transformation, Making a Healthy Lifestyle Second Nature™. When you join Medifast, you become part of a dynamic, fast-growing community of highly motivated, like-hearted people who share a passion for promoting health and wellness. Just as OPTAVIA Coaches inspire Clients to reach their personal wellness goals, at Medifast, we inspire each other to bring our best to work each day to further our shared mission. If you want to build a rewarding career that makes lives better on a daily basis, Medifast may be the perfect place for you.

Overview Of Position

The ideal candidate will possess a strong background in machine learning, data analysis, and software engineering. This role involves developing and deploying scalable machine learning models that drive significant business impact, enhancing our product offerings, and improving Coach and Client experiences.

Job Responsibilities

  1. Design, develop, and deploy machine learning models and algorithms to solve complex business problems in the health and wellness domain.
  2. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate machine learning solutions into production systems.
  3. Conduct thorough data analysis and featuring engineering to support model development.
  4. Implement best practices for model training, validation, and evaluation.
  5. Monitor and maintain the performance of deployed models, ensuring they remain accurate and effective over time.
  6. Develop and maintain documentation for machine learning processes and models.
  7. Stay current with the latest advancements in machine learning and artificial intelligence and apply this knowledge to improve existing models and processes.
  8. Participate in code reviews and contribute to the development of team standards and practices.
  9. Work with large-scale datasets and distributed computing frameworks.
  10. Ensure compliance with data privacy and security regulations.


Scope

The Machine Learning Engineer will play a critical role in enhancing OPTAVIA’s capabilities through the application of advanced machine learning techniques. The engineer will not have direct reports, but will work collaboratively with cross-functional teams, supporting multiple departments, including product development, marketing, compensation, and finance. The position demands a high-level of technical expertise and problem-solving ability due to the complexity and scale of data handled.

Knowledge, Education, Skills & Abilities

  • Bachelor's degree in computer science, data science, machine learning, statistics, or a related field. A master's degree or PhD is preferred.
  • Proficiency in programming languages such as Python, R, or Java.
  • Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, Py Torch, Scikit-learn).
  • Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Familiarity with big data tools and platforms (e.g., Hadoop, Spark, AWS, Google Cloud, Azure).
  • Excellent problem-solving skills and the ability to think critically and analytically.
  • Effective communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
  • Knowledge of software engineering principles, including version control, testing, and continuous integration/continuous deployment (CI/CD).
  • Understanding of data privacy and security principles
  • 4+ years of experience in machine learning or a related field.
  • Proven record of accomplishment of developing and deploying machine learning models in a production environment.
  • Experience working with large datasets and distributed computing environments.
  • Preferred: Familiarity with artificial intelligence, neural networks, and building demand forecasting models for immediate use cases.


At Medifast, Relationships Are at the Center of What We Do

We thrive by elevating our connections with one another as well as with our Coaches & Clients. We believe that everyone has the potential to be OUTSTANDING. The Medifast culture is built on seven core values: integrity, courage, teaming, accountability, empowerment, partnership, and diversity. These values are not just words on a page – they are celebrated as a core part of the company’s philosophy.

We Lead By…

Mastering Relationships: We build trust, promote collaboration and we are reliable.

Being innovative: We strive to improve things in our areas of influence; test, refine and expand within the business strategy; and reach beyond real and perceived boundaries.

Simplifying: We are committed to making things measurable, repeatable and scalable; focusing on outcomes not activities; and eliminating complexity to increase focus.

Anticipating: We predict long-term business and organizational needs; challenge assumptions; and expect and prepare for the unexpected.

About Medifast®
Medifast (NYSE: MED) is the health and wellness company known for its habit-based and coach-guided lifestyle solution OPTAVIA®, which provides people with a simple yet comprehensive approach to address obesity and support a healthy lifestyle. OPTAVIA's holistic solution includes lifestyle plans with clinically proven health benefits, scientifically developed products, and a framework for habit creation – all reinforced by independent coach support for customers on their weight loss journeys. Through its collaboration with national virtual primary care provider LifeMD® (Nasdaq: LFMD) and its affiliated medical group, the holistic solution now includes access to GLP-1 medications where clinically appropriate. Medifast remains committed to its mission of offering Lifelong Transformation, Making a Healthy Lifestyle Second Nature™. Visit the OPTAVIA and Medifast websites for more information and follow Medifast on X and LinkedIn.

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