Machine Learning Engineer 2
New
T
TwilioConversational AI
Location: Remote - USFull-Time
SalaryBased in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $128,560 - $160,700; Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $136,000 - $170,000.
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Job Details
- Required Skills
- PythonKafkaGoDistributed Systems
Requirements
- Have experience building backend services and the ability to pick up new languages, frameworks, and tools as needed.
- Bring a curious approach to service management and the ability to investigate how systems behave in production.
- Have experience building or working with evaluation or quality-measurement systems, such as regression detection or quality metrics, or a desire to learn.
- Have a solid grounding in observability practices, including structured logging and metrics, and use them to debug distributed systems in production.
- Be fluent with AI-assisted development tools, such as agents for code generation, review, and debugging, using deliberate direction and critical thinking.
- Experience with Go and/or Python is desired.
- Experience with event-streaming systems such as Kafka is desired.
- Experience building LLM-backed products is desired.
- Practical experience applying ML, such as building, evaluating, or productionizing models, is desired.
Responsibilities
- Build extraction pipelines that turn raw conversation data into structured customer memory, tuning LLM prompts and schemas.
- Own the retrieval path, using embeddings, vector search, and ranking to retrieve customer memory.
- Contribute to evaluation systems, benchmarks, and regression gates that measure memory quality.
- Diagnose production issues across ingestion, extraction, and indexing using logs, metrics, and traces.
- Partner with Product and ML teams to translate customer problems into system changes and evaluation criteria.
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