172 applicants

Company

Original Job Post

Medifast, Inc · 1 week ago

Machine Learning Engineer

Lehi, UT

Full-time

Onsite

Senior Level

4+ years exp

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Responsibilities

Design, develop, and deploy machine learning models and algorithms to solve complex business problems in the health and wellness domain.

Collaborate with cross-functional teams to integrate machine learning solutions into production systems.

Conduct data analysis and feature engineering to support model development.

Implement best practices for model training, validation, and evaluation.

Monitor and maintain the performance of deployed models.

Develop and maintain documentation for machine learning processes and models.

Stay current with advancements in machine learning and apply knowledge to improve existing models.

Participate in code reviews and contribute to team standards and practices.

Work with large-scale datasets and distributed computing frameworks.

Ensure compliance with data privacy and security regulations.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonRJavaMachine LearningTensorFlowPyTorchScikit-learnData PreprocessingFeature EngineeringModel EvaluationBig Data ToolsHadoopSparkAWSGoogle CloudAzureSoftware Engineering PrinciplesVersion ControlTestingCI/CDData PrivacyData SecurityExperience in Machine LearningDeveloping ModelsDeploying ModelsLarge DatasetsDistributed ComputingProblem-SolvingCritical ThinkingAnalytical Thinking

Required

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

Preferred: Familiarity with artificial intelligence, neural networks, and building demand forecasting models for immediate use cases.

Company

Medifast, Inc

Glassdoor

3.7

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 help them achieve lasting optimal health and wellbeing.

Founded in 1981

Baltimore, Maryland, USA

501-1,000 employees