Architect, implement and maintain the next iteration of our machine learning platform.
Collaborate closely with data scientists to identify and prioritize needs for our existing models and future plans for models.
Plan how our machine learning platform will integrate with the broader data platform efficiently and effectively.
Work closely with edge data, hardware and software engineers to ensure our training pipelines scale to meet cloud and edge needs.

Requirements

8+ years total experience in software development.
5+ years experience with machine learning platform development and administration (eg. Jupyter, Sagemaker, H20, Colab or similar).
5+ years experience with deploying models leveraging data science libraries and frameworks (eg. PyTorch, TensorFlow, Scikit-learn, XGBoost or similar).
5+ years developing and administering feature stores and feature servers (eg. Feast or similar), model registries (eg. Sagemaker model registry or similar) and workflow managers (eg. Airflow, Dagster or similar).
3+ years experience with monitoring machine learning models in production.
3+ years experience with distributed training pipelines (eg Ray or similar)

Benefits

Premium Healthcare Benefits: Three plan options, including an HSA-eligible plan, with Forterra covering 80% of the plan premium for you and your dependents.
Basic Life/AD&D, short and long-term disability insurance plans 100% covered by Forterra, plus the option to purchase additional life insurance for you and your dependents.
Extremely generous company holiday calendar including a winter break in December.
Competitive paid time off (PTO) offering 20 days accrued per year.
A minimum of 7 weeks fully paid parental leave for birth/adoption.
A $9k annual tuition reimbursement or professional development stipend.
Fully stocked beverage refrigerators with all the Celsius your little heart desires.
401(k) retirement savings plan, including traditional, Roth 401(k), and after-tax deferral with company match up to 4%.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

machine learning platform developmentmodel deploymentfeature store administrationfeature server administrationmodel registry administrationworkflow managementdistributed training pipelinesmonitoring machine learning modelsdata science librariescloud integration

Soft skills

collaborationprioritizationplanningcommunication