Job Details

Applied AI Research Engineer

  2025-08-22     Netic     San Francisco,CA  
Description:

Netic is the AI revenue engine that handles multi-modal workflows, generates new demand, and drives measurable revenue for the $500B+ essential service industries that keep America running.

With $20M in funding from Founders Fund and Greylock, we've built technology that has autonomously booked tens of thousands of service appointments and generated millions in incremental revenue in just our first year. You'll join us in bringing frontier AI to the physical economy, where the problems are hard, the data is complex, and the impact is immediate and tangible.

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.

What You'll Do:

  • Study the frontier: Track frontier work in traditional ML, LLMs, multimodal models, retrieval, and agentic systems-then distill it into ideas we can ship.
  • Identify highROI projects: Partner with GTM and ops teams to spot bottlenecks in products; define ML projects that unlock significant leverage for customers.
  • Build targeted models: Own the full cycle-data curation, training, evaluation, and deployment-delivering systems that solve real customer pain points.
  • Productionize solutions: Integrate models into our real-time platform via robust APIs and streaming pipelines, ensuring model performance and guardrails from day one.
  • Selfdirect & ship: Operate like a founder-set technical roadmap, validate quickly, and iterate based on real-world results.
What You'll Bring:
  • Deep ML experience: 4+ years with cutting-edge ML techniques; fluent in PyTorch or JAX and modern serving frameworks.
  • Researchtorevenue record: Proof you've taken novel ML concepts from paper → prod with measurable $$ impact or user growth.
  • Fullstack pragmatism: Comfortable with ETL, feature stores, cloud-native infrastructure, and A/B experimentation.
  • Data engineering skills: Experience working with complex, real-world data streams and building reliable training pipelines.
  • Product intuition: Ability to understand customer workflows and translate business needs into technical solutions.
  • Ownership model: You default to action, uphold a high craftsmanship bar, and treat failure modes as learningrate multipliers.
We believe fulfillment comes from producing your best work with the smartest people together in one room. All roles are in person, in SF (our office is across from Fort Mason). What brings us together is our commitment to:
  • Live to build
  • Run through walls and win
  • Obsess over customers in each line of code
  • Lose sleep over the "almost perfect"
  • Show internal locus of control
  • Prioritize finesse: 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.


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