Senior ML Forecasting Engineer (Remote) Equity

7Seventy; United States; Hybrid; USD 175,000 - 225,000; Full time

Benefits offered by this job

Stock options

Flexible vacation

Remote-first environment

Health, dental, and vision insurance

Parental leave (16 weeks)

Professional growth opportunities

Job summary

7Seventy is seeking a Senior Machine Learning Engineer, Forecasting, to own production ML lifecycle, including training automation, deployment pipelines, and model serving infrastructure. You will work on distributed ML systems, MLOps, and forecasting workflows in a remote, United States-based team.

You’ll collaborate with engineers, product, and data science, improve experimentation velocity, implement automated retraining, and strengthen reliability.

Qualifications

• 5+ years building and maintaining production ML systems, with deep expertise in MLOps, deployment automation, and model serving infrastructure.
• Strong software engineering skills and proficiency in Python.
• Hands-on experience with containerization and orchestration technologies, including Docker and Kubernetes.
• Experience with CI/CD systems such as GitHub Actions and ArgoCD.
• Experience with infrastructure-as-code and deployment tooling such as Terraform and Helm.
• Production ML deployment experience, including model training orchestration with Dagster, Airflow, or similar tools.
• Experience building automated model retraining pipelines and working with A/B testing and variant management.
• Systems design expertise, including scalable microservices, API design, and management of complex service dependencies.
• Demonstrated ownership of projects from concept through production, including ongoing maintenance and continuous improvements to system reliability.
• Ability to work effectively with data scientists to productionize research, backend engineering teams on API integration, and product teams to address customer needs.
• Commitment to writing tested, maintainable, and well-documented code that supports team velocity.

Responsibilities

• Collaborate with engineering, product, and data science teams to understand business challenges and identify opportunities for machine learning and AI solutions.
• Develop tools and automate manual processes to improve operational efficiency, accelerate experimentation, and reduce human error.
• Build, integrate, and monitor end-to-end lifecycles for large-scale, distributed machine learning systems.
• Investigate model performance and identify data-quality and system-performance issues.
• Improve the ML pipeline supporting the forecasting platform, including weekly automated model retraining and deployment across multiple production models.
• Advance MLOps best practices, deployment automation, and production ML capabilities across the team.

Skills

Python

Docker

Kubernetes

CI/CD

GitHub Actions

ArgoCD

Terraform

Helm

Dagster

Airflow

A/B testing

API design

Microservices

Tools

Docker

Kubernetes

GitHub Actions

ArgoCD

Terraform

Helm

Dagster

Airflow

Job description

7Seventy is seeking a Senior Machine Learning Engineer, Forecasting, to own production ML lifecycle, including training automation, deployment pipelines, and model serving infrastructure. You will work on distributed ML systems, MLOps, and forecasting workflows in a remote, United States-based team.

You’ll collaborate with engineers, product, and data science, improve experimentation velocity, implement automated retraining, and strengthen reliability.