Netic
Applied AI Research Engineer
San Francisco · Exec
Sponsorship not specifiedDetected 418 days ago
DatabricksMachine LearningPyTorchData EngineeringLLMsAgentic AIResearch
About the role
- Netic is the AI revenue engine for essential services who are the backbone of the American economy.
- There are now companies operating entirely AI-first on Netic.
Responsibilities
- Identify high‑ROI projects: Partner with GTM and ops teams to spot bottlenecks in products
- Build targeted models: Own the full cycle-data curation, training, evaluation, and deployment-delivering systems that solve real customer pain points.
- Self‑direct & ship: Operate like a founder-set technical roadmap, validate quickly, and iterate based on real-world results.
- Data engineering skills: Experience working with complex, real-world data streams and building reliable training pipelines.
- As an Applied AI Research Engineer, you'll dive deep into cutting-edge research, understand the business functions we put on autopilot inside-out, and execute targeted ML projects that deliver pure magic.
- Own the full cycle-data curation, training, evaluation, and deployment-delivering systems that solve real customer pain points.
Requirements
- Ability to understand customer workflows and translate business needs into technical solutions.
Skills
- Product intuition: Ability to understand customer workflows and translate business needs into technical solutions.
- What brings us together is our commitment to:
- Live to build
- Run through walls and win
- Lose sleep over the "almost perfect"
- Show internal locus of control
- Prioritize finesse: refinement of first principles thinking, execution, and craftsmanship
- Full‑stack pragmatism: Comfortable with ETL, feature stores, cloud-native infrastructure, and A/B experimentation.
Benefits
- Ownership model: You default to action, uphold a high craftsmanship bar, and treat failure modes as learning‑rate multipliers.
Company info
- refinement of first principles thinking, execution, and craftsmanship
- We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
- define ML projects that unlock significant leverage for customers.
- Identify high‑ROI projects: Partner with GTM and ops teams to spot bottlenecks in products; define ML projects that unlock significant leverage for customers.
- Obsess over customers in each line of code
- With $43M in funding from Founders Fund, Greylock, Hanabi, and Dylan Field who led our Series B, we helped our customers book hundreds of thousands of jobs across services industries in North America.
This listing is sourced directly from Netic's careers page and normalized into a canonical job model.