Senior Machine Learning Engineer, Forecasting

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with engineering, product, and data science teams to comprehend business challenges and explore potential machine learning and AI solutions.

• Create tools and automate manual processes to enhance operational efficiency, accelerate experimentation speed, and reduce human error.

• Construct, integrate, and oversee the end-to-end lifecycles of large-scale, distributed machine learning systems.

• Analyze model performance and pinpoint data quality and performance concerns.

• Improve the ML pipeline for the forecasting platform.

• Oversee weekly automated model retraining and deployment across production models.

• Advance the team's technical expertise in MLOps best practices, automation, and production ML systems.

• Engage in recruiter, hiring manager, and virtual onsite interviews as part of the hiring process.

⛳️ Requirements

• A minimum of 5 years of experience in building and maintaining production ML systems.

• In-depth knowledge of MLOps, deployment automation, and model serving infrastructure.

• Proficiency in Python programming.

• Familiarity with Docker and Kubernetes.

• Experience with CI/CD systems, including GitHub Actions and ArgoCD.

• Background in infrastructure-as-code, including Terraform and Helm.

• Practical experience in production ML deployment.

• Experience with model training orchestration tools such as Dagster, Airflow, or similar.

• Experience with automated retraining pipelines.

• Familiarity with A/B testing and variant management.

• Expertise in systems design.

• Experience in developing scalable microservices.

• Background in API design.

• Experience in managing complex service dependencies.

• Proven track record of steering projects from concept to production, maintaining them over time, and continuously enhancing system reliability.

• Experience collaborating with data scientists, backend teams, and product teams.

• Ability to write tested, maintainable, and well-documented code.

• Experience in healthcare or other regulated industries (preferred).

• Familiarity with Forecasting / Time Series algorithms (preferred).

• Experience in Computer Vision (preferred).

• Experience with DAG frameworks and Flink (preferred).

🏝️ Benefits

• Competitive salary.

• Stock options.

• Flexible vacation policy.

• Remote-first work environment.

• Virtual and in-person events to promote team connection.

• Comprehensive health insurance.

• Dental insurance.

• Vision insurance.

• 16 weeks of parental leave for all parents.

• Opportunities for benefits and growth.