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Applied AI Research Engineer
Applied AI Research EngineerNetic • San Francisco, CA, United States
Applied AI Research Engineer

Applied AI Research Engineer

Netic • San Francisco, CA, United States
1 day ago
Job type
  • Full-time
Job description

Overview

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, youll 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 Youll Do

Study the frontier : Track frontier work in traditional ML, LLMs, multimodal models, retrieval, and agentic systemsthen distill it into ideas we can ship.

Identify high?ROI 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 cycledata curation, training, evaluation, and deploymentdelivering 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.

Self?direct & ship : Operate like a founderset technical roadmap, validate quickly, and iterate based on real-world results.

What Youll Bring

Deep ML experience : 4+ years with cutting-edge ML techniques; fluent in PyTorch or JAX and modern serving frameworks.

Research?to?revenue record : Proof youve taken novel ML concepts from paper ? prod with measurable $$ impact or user growth.

Full?stack 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 learning?rate 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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Applied Ai Engineer • San Francisco, CA, United States

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