Senior Machine Learning Engineer, Forecasting (Remote)
Skills
About the role
Apella Technology is hiring a full-time remote Senior Machine Learning Engineer to build and operate production forecasting systems. This role suits an experienced machine-learning engineer with MLOps, infrastructure, deployment automation, and model-serving experience, particularly in distributed production environments. You will improve automated training and deployment, investigate data and model issues, and help establish reliable ML platform foundations.
What you’ll do
- Collaborate with engineering, product, and data-science teams on machine-learning solutions.
- Automate processes that improve experimentation speed and operational reliability.
- Build, integrate, and monitor distributed machine-learning systems across their lifecycle.
- Investigate model performance, data quality, and production issues.
- Manage automated retraining and deployment for forecasting models.
- Develop team practices for MLOps, automation, and production ML systems.
What they’re looking for
- At least five years building and maintaining production machine-learning systems.
- Strong Python, Docker, Kubernetes, CI/CD, Terraform, and Helm skills.
- Experience with model-training orchestration, automated retraining, model deployment, and A/B testing or variant management.
- Experience designing scalable microservices, APIs, and service dependencies.
- A record of taking systems from concept to production and improving reliability over time.
- Experience collaborating with data scientists, backend teams, and product organizations.
- Commitment to tested, maintainable, documented code.
Nice to have
- Experience in healthcare or another regulated industry.
- Forecasting or time-series experience.
- Computer-vision experience.
- Experience with DAG frameworks or Flink.
What’s on offer
- Remote-first full-time work.
- Annual base pay of $175,000 to $225,000 USD.
- Stock options.
- Flexible vacation, health, dental, and vision insurance, virtual and in-person team events, and 16 weeks of parental leave.
Questions about this role
Is the Senior Machine Learning Engineer role remote?
Yes. The role is listed as remote-first.
What is the salary range?
The listed annual base salary range is $175,000 to $225,000 USD, with stock options.
How much experience is required?
The employer asks for five or more years building and maintaining production machine-learning systems.
What MLOps tools are relevant to the role?
The posting names Python, Docker, Kubernetes, GitHub Actions, ArgoCD, Terraform, Helm, and training orchestration tools such as Dagster or Airflow.
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