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Goosehead Insurance · 1 day ago

Machine Learning Engineer

Trophy Club, TX

Full-time

Onsite

Senior Level

5+ years exp

Goosehead Insurance is changing the way people think about insurance through a technology-driven, client-first approach. They are seeking an experienced Machine Learning Engineer to design, build, and scale production-grade machine learning systems that deliver measurable business impact while collaborating with data scientists and engineers.

Auto InsuranceCommercial InsuranceInsurance

H1B Sponsor Likely

Responsibilities

Design, build, and maintain end-to-end machine learning pipelines from data ingestion to model deployment and monitoring

Partner with data scientists to productionize models and ensure they are performant, maintainable, and observable

Develop robust APIs, batch processes, and streaming solutions to integrate models into business applications and workflows

Implement MLOps practices for automated training, testing, deployment, and monitoring of models in production

Optimize model performance and scalability, ensuring efficient use of compute and storage resources

Collaborate with data engineering to ensure model pipelines are supported by reliable, high-quality data sources

Stay current with advancements in ML infrastructure, frameworks, and tooling to continuously improve delivery speed and quality

Follow company policies and procedures related to data security and privacy

Participate in ongoing training for responsible AI and data handling best practices

Treat client and company data with the highest standards of confidentiality

Report any security, bias, or privacy incidents promptly

Qualification

Machine Learning EngineeringPythonML FrameworksCloud EnvironmentsData PipelinesContainerizationSoftware EngineeringMLOps ToolsDistributed Data ProcessingCommunication SkillsCollaboration Skills

Required

5+ years of experience in machine learning engineering, data science, or software engineering

Proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn

Experience building and deploying models in cloud environments (e.g., Azure, AWS, or GCP)

Strong understanding of data pipelines, feature engineering, and model lifecycle management

Familiarity with containerization and orchestration (e.g., Docker, Kubernetes)

Solid software engineering fundamentals including version control, testing, and CI/CD

Excellent communication and collaboration skills

Preferred

Experience with MLOps frameworks and tools (e.g., MLflow, Databricks, SageMaker, Vertex AI)

Familiarity with feature stores and model monitoring solutions

Experience with distributed data processing frameworks (e.g., Spark, PySpark)

Background in insurance, financial services, or other data-rich, regulated industries

Exposure to experimentation and model governance frameworks

Benefits

High quality voluntary health, vision, disability, life, and dental insurance programs

401K Matching Plan

Employee Stock Purchase Plan

Paid holidays, vacation, and sick leave

Corporate sponsored programs to enhance employee physical, financial, mental, and emotional wellness

Financial Solution Program

Company

Goosehead Insurance

Glassdoor3.7

Goosehead Insurance is an independent personal lines insurance company serving the continental United States.

Founded in 2003

Grapevine, Texas, USA

1001-5000 employees

https://www.goosehead.com

H1B Sponsorship

Goosehead Insurance has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (14)

2024 (5)

2023 (5)

2021 (3)