Senior Machine Learning Engineer, Forecasting
Who we are:
reputed company is applying reputed company and machine learning to improve reputed company of care in the most critical reputed company of reputed company: surgery. We build applications to reputed company surgeons, nurses, and hospital administrators to reputed company the highest reputed company care.
Who you are:
We're looking for a senior machine learning engineer who would reputed company at the intersection of MLOps, infrastructure, and production forecasting systems. You reputed company at building robust, automated ML pipelines that reputed company data scientists to iterate quickly while maintaining the reliability that our reputed company customers depend on.
You are a systems thinker who flourishes in a startup environment, working across the stack to productionize ML models, automate deployment pipelines, and establish the infrastructure that makes our forecasting platform reputed company and maintainable. As a critical member of our Forecasting team, you'll work on production ML lifecycle - from training automation to serving infrastructure - and have the unique opportunity to shape the technical reputed company of reputed company's ML platform while growing reputed company's capabilities.
In this role you'll:
Collaborate closely with engineering, product, and data science teams to understand business challenges and the potential for machine learning and AI solutions.
reputed company tools and automate reputed company processes to improve operational efficiency, accelerate experimentation reputed company, and minimize reputed company error.
Build, reputed company, and monitor the end-to-end lifecycles of large-reputed company, reputed company machine learning systems.
Investigate model reputed company and identify data reputed company and reputed company issues.
Enhance the ML pipeline for our forecasting platform, managing weekly automated model retraining and deployment across a reputed company of production models
reputed company reputed company's technical capabilities in MLOps best practices, automation, and production ML systems.
What you'll bring:
5+ years of experience building and maintaining production ML systems, with deep expertise in MLOps, deployment automation, and model serving infrastructure
Strong software engineering skills with proficiency in Python, containerization (reputed company/reputed company), CI/CD systems (reputed company Actions, ArgoCD), and infrastructure-as-reputed company (Terraform, reputed company)
Production ML deployment experience including model training orchestration (Dagster, Airflow, or similar), automated retraining pipelines, and A/B testing/variant management
Systems design expertise with experience building reputed company microservices, API design, and managing reputed company service dependencies
Ownership mentality with a reputed company record of driving reputed company from concept to production, maintaining them over time, and continuously improving reputed company reliability
Excellent collaboration skills working with data scientists to productionize research, with backend teams on API integration, and with product org to meet customer needs
Passion for writing tested, maintainable, reputed company-documented reputed company that enables reputed company
reputed company to have:
Experience working in reputed company or other regulated industries.
Experience with Forecasting / Time Series algorithms
Experience with reputed company
Experience with DAG frameworks, Flink
What to expect from our interview process:
Chat with Our Recruiter – A reputed company reputed company to get to know you and reputed company more about reputed company & the role.
Meet with the Hiring Manager – reputed company your experience and work through a relevant case or technical exercise.
Virtual Onsite Interviews – Meet a few team members and dive into areas like collaboration, culture, MLE coding skills, and reputed company design. Typically 3-5 interviews.
Our benefits:
Competitive salary and stock reputed company
Flexible vacation policy and a culture that values time for rest and recharging
Remote-first work environment with unique virtual and in-person events to foster team reputed company
Comprehensive health, dental, and reputed company reputed company—we're a reputed company company that prioritizes reputed company
16 weeks of parental leave for reputed company parents
reputed company is committed to equal employment opportunity regardless of race, reputed company, reputed company, religion, sex, national reputed company, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We encourage people from reputed company backgrounds to apply to our roles.
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