Applied AI Research Engineer

Netic
San Francisco
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Experience: 4+ yearsSkills: ["PyTorch","JAX","APIs","ETL","Feature stores","Cloud-native","A/B testing","Python"]

Join a hands-on AI research role focused on advancing frontier ML for an AI revenue engine. You’ll own end-to-end ML projects from data curation to deployment, productionize models in a real-time platform, and shape the technical roadmap in a collaborative, founder-like environment in San Francisco.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Netic
Netic
1 year ago

Applied AI Research Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Join a hands-on AI research role focused on advancing frontier ML for an AI revenue engine. You’ll own end-to-end ML projects from data curation to deployment, productionize models in a real-time platform, and shape the technical roadmap in a collaborative, founder-like environment in San Francisco.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •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 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 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.
  • •Self‑direct & ship: Operate like a founder—set technical roadmap, validate quickly, and iterate based on real-world results.

Key Requirements

  • •Deep ML experience: 4+ years with cutting-edge ML techniques; fluent in PyTorch or JAX and modern serving frameworks.
  • •Proven research-to-revenue track: demonstrated impact from novel ML concepts to production with measurable outcomes.
  • •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 reliable training pipelines.
  • •Product intuition: ability to understand customer workflows and translate business needs into technical solutions.
Experience:4+ yearsAIMachine learningData engineeringCloud
Skills:PyTorchJAXAPIsETLFeature storesCloud-nativeA/B testingPython
Tech Stack:PyTorchJAXAPIsETLFeature StoresCloudStreaming

Company Brief

Netic
Builds an AI-powered revenue engine that autonomously handles inbound/outbound customer communications, books service appointments, and generates demand for essential service industries (HVAC, plumbing, roofing, etc.).
Industry: Enterprise Software
Company Size: Micro (1 to 10 employees)
Growth: Growth Stage Startup
Valuation: USD 50M to 100M
Funding: Series A
Headquarters: San Francisco, United States
Founded: 2024
Glassdoor
Glassdoor: 1.0
WebsiteLinkedInGlassdoor