Senior Software Engineer, MLOps
Tasks
- Build batch pipelines
- Build real-time inference systems
- Build streaming pipelines
- Compute features
- Design Postgres schemas
- Design online feature store
- Drive observability
- Ensure ML serving reliability
- Ensure feature consistency
- Lead technical design discussions
- Mentor junior engineers
- Operate databases under production load
- Operate online feature store
- Optimize database queries
- Perform code reviews
- Publish features
- Translate requirements into production solutions
- Validate features
Perks/Benefits
- 401k match
- Charitable donation match
- Commuter benefits
- Dental insurance
- Flexible time off
- Flexible work arrangement
- Medical insurance
- Paid parental leave
- Professional development budget
- Vision insurance
- Volunteering days
- Wellness reimbursement
Skills/Tech-stack
Agile | Batch Processing | Consistency guarantees | Data Modeling | Data Pipelines | Data freshness | Database performance | Database performance tuning | Feature Engineering | Feature Store | Low Latency | Low-Latency Systems | MLOps | Machine Learning | Observability | Performance Tuning | PostgreSQL | Python | Real Time | Real-time Inference | Reliability Engineering | SQL | Schema Design | Streaming processing | Training-serving skew
Education
Regions
Countries
States
Cities
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