Applied ML Engineer - Model R&D
New
N
NascentFinancial markets
Location: Remote - United States; Secondary Locations: Remote - Canada, Overlap with U.S. business hours is expected.Full-Time
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Required Skills
- GitMachine LearningRustCI/CDMLOps
Requirements
- Experience in a professional, structured, team-based engineering environment.
- Experience working with architecture decisions, rigorous code reviews, and task management.
- Ability to turn promising or messy work into maintainable, production-grade software.
- Ability to work collaboratively with engineers and share ownership of systems.
- Rust proficiency or willingness to ramp up quickly and contribute to Rust codebases.
- Exposure to ML or AI concepts, such as model training, inference pipelines, or working alongside ML researchers.
- NLP or text-based signal extraction experience is preferred.
- Familiarity with MLOps tooling such as experiment tracking, model versioning, feature stores, or inference serving frameworks is preferred.
- Curiosity about financial markets is preferred.
Responsibilities
- Refactor research-quality and prototype ML code into production-ready, maintainable, deployable systems.
- Own end-to-end deployment of ML pipelines, including data ingestion, feature engineering, model serving, monitoring, and reliability.
- Integrate task management, Git workflows, code reviews, and CI/CD practices.
- Collaborate with researchers and the team to translate research intent into observable production systems.
- Identify architectural and engineering quality issues and implement appropriate solutions.
- Build and maintain monitoring, logging, and alerting infrastructure.
- Support the team's transition toward Rust-native infrastructure.
View Full Description & ApplyYou'll be redirected to the employer's site
