Machine Learning Engineer (Intermediate) (Remote)
Engineering/Technical
Remote
ENVIRONMENT:
Our client is on the hunt for an Intermediate Data Analyst / Machine Learning Engineer to grow their sim racing app’s data driven telemetry analysis features. You’ll turn raw laps into actionable insights – building data pipelines, training/evaluating ML.NET models, and shipping them into production. You’ll work primarily in C#, Entity Framework Core (code-first) with MSSQL on the server and SQLite in the app, surfacing insights in their Blazor/WPF UI. Expect clear goals, fast feedback, and close collaboration with the CTO.
DUTIES:
- Build end-to-end data features: ingest, clean, transform, and persist telemetry (laps, sectors, throttle/brake, steering, RPM, etc.)
- Develop ML.NET models for driver coaching: lap alignment, pace deltas, consistency scoring, anomaly/outlier detection, stint/session segmentation
- Move prototypes to production (batch and near-real-time inference) using C# + ML.NET
- Implement backend services with EF Core (code-first)
- Server: MSSQL (schema design, migrations, performance tuning)
- App: SQLite (lightweight schemas, efficient queries, migrations)
- Expose analytics via APIs and integrate results into Blazor/WPF dashboards and overlays
- Add data quality checks, validation, and observability (metrics, logging, tracing)
- Write integration tests, keep CI/CD green, and document datasets, features, and experiments
- Participate in code reviews; follow and improve coding standards
REQUIREMENTS
- 3+ years total experience, with solid C#/.NET backend skills
- Practical ML.NET experience (regression/classification/clustering; time-series a plus)
- Proficiency with EF Core, LINQ, and code-first workflows across MSSQL (server) and SQLite (app)
- Ability to design features, evaluate models (cross-validation, proper metrics), and ship to production
- Comfortable with Git workflows, integration testing, and CI/CD
Nice to have:
- Signal processing for telemetry (resampling, smoothing, filtering)
- Real-time/near-real-time analytics, caching, and background workers
- Visualization skills for comparative laps and telemetry overlays
- Experimentation (A/B), metric design (pace/consistency indices)
- Interest in sim racing or motorsport