Note: The job is a remote job and is open to candidates in USA. Dice is a recruiting company seeking a Senior Machine Learning Engineer who will own critical ML subsystems in production. The role involves designing practical solutions to ambiguous problems, building ML systems, and collaborating with cross-functional teams to deliver impactful user experiences.
Responsibilities
- Build core Machine Learning (ML) systems that power a proactive, long-horizon Artificial Intelligence (AI) product
- Own work end-to-end: data preparation, training, evaluation, inference, and iteration
- Turn research ideas into working systems that run reliably in production
- Debug model failures and system issues using real production signals
- Iterate quickly: ship, measure outcomes, refine, and repeat
- Collaborate closely with research, product, and engineering to deliver real user impact
- Mentor and review work from other Machine Learning (ML) engineers through example and technical judgment
- Work under real production constraints: latency, cost, reliability, and safety
- Machine Learning (ML) models and systems in production consistently meet accuracy, latency, reliability, and efficiency targets
- Complex production issues are monitored, debugged, and resolved with minimal disruption
- Training, inference, and data pipelines are robust, scalable, and maintainable over time
- Drive measurable improvements in Machine Learning (ML) systems based on real-world signals and user feedback
- Provide mentorship and technical guidance to peers, raising the overall ML engineering standard
- Collaborate cross-functionally to ensure Machine Learning (ML) features integrate seamlessly into products and meet business goals
Skills
- Experience building and shipping Machine Learning (ML) systems used by real users
- Experience understanding how modern Machine Learning (ML) models behave and misbehave in production
- Experience writing strong, production-quality code and think in systems, not scripts
- Experience taking ownership, work independently, and push work across the finish line
- You learn fast, communicate clearly, and improve through iteration
- Tech Stack: GPU-based training and inference systems, JAX, Python, and PyTorch
Benefits
- Medical insurance
- Dental
- Vision
- Savings Plan Options
- PTO
Company Overview
Company H1B Sponsorship