Netic · 2 weeks ago
Applied AI Research Engineer
San Francisco, CA
Full-time
Onsite
Mid, Senior Level
4+ years expNetic is the AI revenue engine for essential services that support the American economy. As an Applied AI Research Engineer, you will engage in cutting-edge research and execute targeted machine learning projects to enhance business functions and deliver impactful solutions.
Artificial Intelligence (AI)Business Process Automation (BPA)Marketing AutomationService Industry
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
Qualification
Required
Deep ML experience: 4+ years with cutting-edge ML techniques; fluent in PyTorch or JAX and modern serving frameworks
Research‑to‑revenue record: Proof you've 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
Company
Netic
Netic offers an AI-driven platform designed to enhance revenue generation, customer engagement, and growth through intelligent automation.
2-10 employees
Funding
Current Stage
Growth StageTotal Funding
$43MKey Investors
Founders FundFounders Fund,Greylock
2025-11-13Series B· $23M
2025-06-02Series A· $20M
Leadership Team
Melisa Tokmak
Founder
Recent News
2025-11-19
MarketScreener
2025-11-15
Tech Funding News
2025-11-14
Company data provided by crunchbase