Invest Nebraska is seeking a Machine Learning Engineer with deep computer vision experience to join the ML team at CompanyCam. The role involves designing, training, and deploying computer vision models while managing the full ML pipeline and collaborating with various stakeholders to integrate ML solutions into the platform.
Responsibilities:
- Design, train, and deploy computer vision models to production with well-understood performance, latency, and cost characteristics
- Own the full ML pipeline: data preprocessing, feature engineering, model selection, training, evaluation, and deployment into sustainable inference services
- Conduct discovery spikes to validate feasibility and inform go/no-go decisions before committing to full development
- Integrate ML solutions with observability tooling, establishing and maintaining benchmarks to measure improvement and compare approaches
- Build automated, self-sustaining ML pipelines. Models should train, evaluate, and deploy with minimal manual intervention
- Inform build-vs-buy decisions with both technical rigor and business context, understanding when in-house models create competitive advantage vs. when vendor APIs are sufficient
- Collaborate with software engineers, data engineers, and product stakeholders to integrate ML solutions into CompanyCam's platform
- Communicate clearly with non-technical audiences about feasibility, requirements, and trade-offs of proposed solutions